Location: Hybrid (San Francisco, CA); Hybrid (New York, NY)
Workplace: Hybrid
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
THE ROLE
Clipboard https://www.clipboardworks.com/ is a Sequoia-backed marketplace connecting nurses and healthcare professionals with long-term care facilities, facilitating over 3 million shifts per year. We're hiring Senior Product Managers to own core domains of the marketplace. Think pricing, matching, reliability, facility onboarding; all the systems the business runs on!
THE WORK
You'll be running a domain where the right answer changes as the marketplace changes, and where your mental model and prioritization are the single most valuable artifact your team has. You will:
- Build the mental model. Grounded in customer conversations, support tickets, Salesforce, and our own data.
- Pick the metrics. The ones that tell you and the org whether you're serving that customer well. When the right metric doesn't exist, you say so and propose the best proxy, limitations stated.
- Steward the improvements. Research, experiments, core flow changes, technical investments. An excellent PM here doesn’t just move metrics, they make prioritization calls that compound.
All of this gets written down and shared constantly. A one-page mental model your team can reference without you in the room. A monthly check-in. Enough visibility that engineers make autonomous decisions and leadership can push back at "is this the right bet" rather than "what's the bet." You'll work alongside an Applied Science https://jobs.ashbyhq.com/clipboard?departmentId=b0a8f86a-7e03-4cd1-a204-deafbabf7893 team that owns the quantitative infrastructure your domain depends on: pricing algorithms, causal models, experiment frameworks.
MINIMUM REQUIREMENTS
- 6+ years of product management, with experience in marketplaces preferred
- You can query data yourself (SQL or equivalent)
- You've shipped meaningful features on a small, fast-moving team
- You write clearly and often
- Ability to work 2-3 days per week out of either our NYC or San Francisco office
WHO THRIVES HERE
- Extreme ownership: the buck stops with you regardless of what anyone else did or didn't do.
- Extreme curiosity: you ask "why" five times on the same problem before you're satisfied.
- You hold a clear point of view and update it visibly when the data disagrees.
- Background in marketplace product, ops research, or operating roles at fast-scaling startups is a strong signal.
INTERVIEW PROCESS:
1. Case Study via MeritFirst
2. Case Study Interview
3. Cross-functional Interview
4. CPO Interview
5. Offer!
OUR VALUES LIVE HERE https://www.clipboardworks.com/resources/blog/clipboard-healths-company-values. IF THIS SOUNDS LIKE A TEAM YOU WANT TO BE ON, APPLY!
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
ГибридseniorHybrid (San Francisco, CA); Hybrid (New York, NY)
Location: Paraguay (Remote)
Workplace: Remote
ABOUT LILT
LILT works with native speakers and subject-matter experts around the world on AI training projects, such as recording, transcription, writing and review. Our contributors help make AI work better in their language.
ABOUT THIS PROJECT
We’re looking for native speakers of Guarani to help create audio data for speech technology in their language.
WHAT YOU’LL DO
You can sign up for one or both kinds of work:
Record audio. Speak naturally on everyday topics, on your own or in a conversation with another speaker. There’s no script. Recordings are 2 to 15 minutes each.
Transcribe audio. Listen to recordings and write out exactly what was said.
HOW IT WORKS
Fill out this short sign-up form. It takes just a few questions and works on your phone.
We’ll email you a short, unpaid sample test for recording, transcription or both.
Once you pass, you’ll complete onboarding: a contractor agreement, a background check and payment setup.
You’ll then get access to our platform and can start working.
PAY
You’re paid for each hour of approved audio you record or transcribe. Rates depend on your language and the type of work, and we’ll share yours before you start.
If someone from LILT is helping you sign up, they can answer any questions as you go.
QUALIFICATIONS
- Native fluency in the target language
- English Comprehension
- Experience as AI reviewer, annotator, or evaluator preferred
- Comfortable working with both textual and audio/video materials
- Ability to follow detailed guidelines consistently and provide clear feedback
- High attention to detail and ability to thoroughly and accurately categorize content
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: United Kingdom
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
We are looking for a detail-oriented and proactive
Technical Engineering Advisor
to join our Customer Success team, supporting large deals and working with key and strategic customers.
In this role, you will act as a key link between customers, providers, and internal teams, ensuring manufacturability of designs and a successful transition into production.
How You’ll Contribute:
Customer Engagement (Deal Stage):
Perform routine Design for Manufacturing (DFM) reviews for high-end customer orders
Analyze part designs and support their optimization to ensure manufacturability
Communicate with customers by phone, on video calls, and in writing to clarify design and production issues and solve problems
Support large deals and build trusted relationships with key and strategic customers
Production Support (Production Stage):
Collaborate with providers in writing, by phone, and on video calls to resolve manufacturability challenges
Travel to providers when needed, if location allows
Provide expertise in complaint handling (excluding formal RMA cases)
Ensure clear and timely resolution of technical production issues
Sourcing & Continuous Improvement:
Work with the Sourcing Engineering team during the provider search stage to identify the most suitable providers
Support continuous improvement of manufacturing and engineering processes
What You’ll Bring to Xometry:
Technical Knowledge: 5+ years of experience in CNC machining and sheet metal manufacturing. Strong understanding of 3D printing technologies
Technical Drawings: Experience working with technical drawings and design-related problem solving
Understanding of dimensional accuracy, surface roughness, and process limitations.
Ability to independently identify technical risks and propose manufacturing solutions
Languages: Fluent and professional English
Customer Focus: Customer-oriented mindset with a strong understanding of customer needs
Problem Solving: Strong problem-solving skills and high attention to detail
Adaptability: Ability to multitask in a fast-paced environment and adapt across different industries
Location: United Kingdom
Working Conditions:
Full-time job
Corporate laptop
Salary structure: salary + RSUs
Place of work: Depends on location; hybrid working is available in Chelmsford
Reports to: Team Lead
Life at Xometry:
Team Spirit & Friendly Atmosphere:
We work in an open, friendly, and trusting environment that welcomes initiative; everyone is ready to help and support one another, and we celebrate wins together and appreciate everyone’s contribution
Development Opportunities:
As a fast-growing company, every new task is an interesting challenge for the team
We Care:
Ongoing, free well-being activities for our people and charity projects worldwide
Flexibility:
Speed and flexibility are among our biggest advantages, allowing us to adapt quickly and stay effective amid uncertainty
Onboarding:
A well-structured onboarding plan that brings together process, technology, and systems into one smooth experience
Please send your CV in English.
#LI-Remote
#Promoted
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Please read our
privacy policy
here.
Location: Algeria (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects.
In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others.
You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations.
WHAT YOU’LL DELIVER
- Depending on the task, you may be asked to generate original content or assess AI-generated outputs.
- Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit.
- Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches.
- Provide concise, structured annotations that can be used directly for model improvement.
- Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards
QUALIFICATIONS
- Native fluency in the target language
- Strong command of English
- Experience as AI reviewer, annotator, or evaluator preferred
- Comfortable working with both textual and audio/video materials
- Ability to follow detailed guidelines consistently and provide clear feedback
- High attention to detail and ability to thoroughly and accurately categorize content
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Europe
We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.
Currently, we are looking for AI Video Agent Engineer for Elva.
Location: Remote
Job Type: Full-Time
OVERVIEW:
We are building an AI-driven video production system designed as an intelligent multi-agent orchestration layer capable of transforming raw ideas and references into fully structured video content.
The system operates as a black-box creative engine for different types of users:
- professional video creators
- casual users
- creators of short narrative concepts
Users provide an idea, references, or media fragments, and the system automatically orchestrates multiple AI agents responsible for analysis, scripting, editing, and production of video content.
We are looking for an engineer who can design and implement multi-agent pipelines, orchestrate AI tools, and build intelligent workflows that combine video analysis, storytelling logic, and automated editing.
This role sits at the intersection of AI systems architecture, creative tooling, and multimodal content generation.
RESPONSIBILITIES:
AI Agent Architecture
Design and implement the architecture of a multi-agent video editing system including agents responsible for:
- video analysis
- narrative generation
- editing orchestration
- production and output synthesis
Define system prompts, behavioral rules, and structured instructions for agents interacting within the pipeline.
Pipeline Orchestration (n8n)
Develop and maintain complex orchestration pipelines in n8n, including:
- multi-agent workflows
- tool-calling logic
- dynamic routing between tools and models
- context passing between agents
Pipelines must be capable of selecting the most appropriate models, tools, and strategies depending on the task.
Multimodal Data Processing
Design robust pipelines for handling:
- video materials
- image assets
- user text prompts
- structured metadata
Ensure proper data transformation and context transfer across the pipeline stages.
Tool & API Integration
Integrate both external and internal APIs for multimodal generation and processing, including:
- image generation
- video generation
- speech synthesis
- audio generation
- video processing services
Rapidly evaluate available APIs and select the best quality tools and models for each task.
Model Orchestration & Optimization
Tune and optimize model interactions, primarily based on Gemini models, including:
- prompt engineering
- structured outputs
- tool-calling workflows
- agent collaboration logic
Optimize pipelines for quality, reliability, and execution efficiency.
Future Architecture (RAG & Knowledge Systems)
Design systems that support:
- vector databases
- retrieval-augmented generation (RAG)
- memory and contextual reasoning between agents
EXPECTED OUTCOMES:
The pipeline system should be capable of:
1. Taking an idea + references as input
2. Analyzing the content
3. Generating a coherent narrative structure
4. Selecting appropriate visual and audio elements
5. Producing a high-quality, structured video output
REQUIREMENTS:
AI Systems & Agent Architecture
Strong experience building multi-agent systems, including:
- intent and sub-intent modeling
- agent orchestration
- agent communication and transport layers
- summarization pipelines
- context passing between agents
Workflow Orchestration
Hands-on experience with:
- n8n
- Agent tool-calling
- n8n MCP
Experience designing complex automation pipelines is essential.
Programming
Strong practical coding skills with vibe coding mindset:
Primary languages:
- Python
- JavaScript
Bonus experience:
- ComfyUI custom nodes
- lightweight APIs (e.g., HuggingFace Spaces or inference endpoints)
Multimodal Tooling Knowledge
Ability to quickly navigate API documentation and integrate tools for:
- image generation
- video generation
- speech synthesis
- audio generation
- multimodal analysis
You should know where and how to obtain the best generation quality for each modality.
Creative Thinking
- Strong sense of visual rhythm and composition
- Creative intuition and storytelling awareness
- Good taste in video structure and montage
- Ability to evaluate AI-generated output not only by metrics, but also by creative quality and narrative coherence
Video & Media Processing
Preferred experience with:
- FFmpeg
- video processing pipelines
- image processing workflows
NICE TO HAVE:
The following qualifications are not mandatory, but will significantly strengthen a candidate’s profile during the evaluation process:
Agentic Frameworks
Deep understanding of frameworks such as LangGraph and LangChain for building complex cyclic state graphs and stateful agent systems.
Advanced RAG & Memory Management
Experience designing long-term memory systems for agents, including mechanisms for storing and retrieving successful execution patterns or scenarios to improve future performance through experience-based retrieval.
Self-Correction & Reflection
Experience building agents with feedback loops such as self-reflection, self-critique, or strategy correction, enabling them to verify their own actions and adapt execution logic dynamically.
Evaluation & Observability
Experience with tools for monitoring, debugging, and evaluating agent chains and prompt behavior, such as LangSmith, Arize Phoenix, or Promptfoo, with the ability to identify logical failures, quality regressions, and orchestration bottlenecks.
IDEAL CANDIDATE:
The ideal candidate is someone who naturally operates between engineering and creative production, capable of building systems that automate complex media workflows while preserving narrative coherence and aesthetic quality.
You enjoy designing systems where AI agents collaborate to produce meaningful creative outputs.
What’s next?
If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider.
We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.
Location: London
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
DRW
is looking for an outstanding Senior Software Engineer with an expertise in C++ and previous management experience to work in our London office. In this role, you will be a part of our Core Infrastructure team which is responsible for designing, developing and maintaining DRW's low latency trading platform which is deployed global. You will be tasked with working on various areas of the technical stack including order routing, market data, and risk systems.
To qualify for this role, you:
Minimum of 5 years of experience working developing high-availability systems in C++ with very tight resource/latency constraints
Have a background in multi-threaded programming and a strong understanding of hardware/software interaction
Are comfortable working “under the hood” and you are quite skilled in performance tuning (applications, Linux, socket I/O, etc.) and troubleshooting
Have experience working with C++ libraries like STL and Boost
Are up to date on the C++23 standards and have opinions about them
Have worked on challenging projects that involved things like building a custom compiler, writing a matching engine, or working with large amounts of data in real time
Have had previous managerial responsibility
Have strong English verbal and written communication skills
Bonus points if you have:
Experience working in the trading industry or another ultra-low latency sensitive business that involves solving remarkably complex problems
Experience working with Research teams and Quants
Experience working within gaming or streaming
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-MM1
Location: Pakistan (remote)
ABOUT THE OPPORTUNITY
We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects.
In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others.
You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations.
WHAT YOU’LL DELIVER
- Depending on the task, you may be asked to generate original content or assess AI-generated outputs.
- Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit.
- Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches.
- Provide concise, structured annotations that can be used directly for model improvement.
- Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards
QUALIFICATIONS
- Native fluency in the target language
- Strong command of English
- Experience as AI reviewer, annotator, or evaluator preferred
- Comfortable working with both textual and audio/video materials
- Ability to follow detailed guidelines consistently and provide clear feedback
- High attention to detail and ability to thoroughly and accurately categorize content
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Office Based - Taipei, Taiwan
Canonical is a growing international software company that works with the open-source community to deliver Ubuntu, “the world’s best free software platform”. The Commercial Engineering Quality Assurance (QA) team works with all the engineering teams in Canonical, OEM and ODM customers, to bring Ubuntu directly to millions of users by delivering certified Ubuntu laptop, desktop, IoT and other computing devices.
As a Software QA engineer, you will join the team responsible for our strategy for quality coordination and testing. You will be a quality expert with extensive experience establishing quality processes from the ground up. You will understand the tools and techniques used to introduce new products, and will work with teams across the company to drive quality improvements through the entire development cycle.
As a Software Quality Assurance Engineer you will:
Plan, create and manage the overall Quality Planning strategy and document
Improve our automated test capability with design and code contributions
Perform automated and manual testing of Ubuntu Desktop, Server and Core on varies latest hardware.
Suggest solutions to identified product problems
Collaborate with the Project team to ensure consistent project execution
Identify quality assurance process bottleneck and suggest improvements
Oversee continuous improvement projects
Collect quality data
Establish proactive measures to improve the quality and reliability of the Ubuntu platform
Prepare time estimates and schedule for testing activities
Identify, isolate, and document bugs clearly and concisely in the bugs database
Work with development teams across multiple projects to build efficient, effective automated testing
Communicate effectively with colleagues in a variety of time zones around the world
Triage test reports and customer bugs
The successful Software Quality Assurance Engineer will have :
Experience with the Linux desktop, and related technologies. Ubuntu experience would be a plus
Solid grasp of commercial Software QA practices and ideas on how to integrate them into Linux Community standards
Experience with common scripting languages, including Shell script, Python or JavaScript
Comfortable with online communication and collaboration such as mailing lists, Mattermost, wiki
Excellent logic, problem solving, and troubleshooting skills
Strong written and spoken communication skills in English
Ability to be productive in a globally distributed team
Ability to pick up new technologies and achieve high effectiveness quickly
What Canonical Offers:
Learning and development
Annual compensation review
Recognition rewards
Annual leave
Priority Pass for travel
Annual health check
Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world’s computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Location: Remote
We are looking for an experienced and proactive
Infrastructure Support Engineer
to provide technical support and administration across our cloud and on-prem IT environments. This role combines infrastructure operations, technical support, and platform administration, delivering specialised technical assistance to our company employees, including quantitative researchers, developers, and business teams across the Americas (GMT-3 to GMT-6) or Asia-Pacific (GMT+7 to GMT+9) time zones.
The ideal candidate will have hands-on experience with AWS infrastructure, enterprise platforms, and strong analytical and troubleshooting skills.
The role requires excellent communication skills and the ability to support both technical and non-technical users in an international environment.
WHAT YOU'LL BE DOING:
Handle and respond to employee support requests through corporate communication and ticketing platforms
Support, maintain, and troubleshoot cloud and on-premises infrastructure services, applications, and enterprise platforms
Manage user accounts, access permissions, system configurations, and related administrative tasks
Troubleshoot hardware, software, access, and basic connectivity issues including VPN, Wi-Fi, DNS, and related networking components
Monitor infrastructure health, performance, and availability
Conduct root cause analysis for recurring technical and infrastructure-related issues, and recommend improvements
Contribute to automation, integration, and process improvement initiatives
Maintain clear and accurate technical documentation, operational procedures, and user guides
Work closely with cross-functional teams to design solutions and implement system improvements and upgrades
Provide remote support for office and on-premises IT infrastructure, where applicable
WHAT WE LOOK FOR IN YOU:
Bachelor's degree in Computer Science, Information Technology, or related field
At least 5 years of experience in IT Support and Engineering roles, handling critical systems
Ability to collaborate across the Americas (GMT-3 to GMT-6) or Asia-Pacific (GMT+7 to GMT+9) time zones
Hands-on experience with Amazon Web Services (AWS)
Knowledge of Kubernetes and AWS EKS
Experience with ticketing systems such as Jira Service Management or ServiceNow
Scripting or automation experience using Bash or Python
Basic understanding of networking concepts and protocols, including DNS, VPN, TCP/IP, and Wi-Fi
Strong troubleshooting and analytical problem-solving skills with attention to detail
Experience with monitoring tools and troubleshooting methodologies
Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical audiences
Professional proficiency in English
Ability to work independently and collaboratively in a fast-paced environment, managing diverse priorities
A strong desire for continuous learning and professional growth
NICE-TO-HAVE
ITIL v3 or ITIL v4 certification or practical knowledge
Experience with workflow automation and integrations using REST APIs and platforms such as Make.com, Zapier, n8n, or similar
Experience administering or supporting Oracle NetSuite
Experience administering or supporting Cisco Catalyst / Meraki wireless environments, including controllers, switches, and access points
WHY SHOULD YOU JOIN OUR TEAM?
Work on impactful challenges in a fast-paced environment with quick feedback loops
Collaborate with a highly skilled international team
Use modern technologies and cutting-edge hardware
Enjoy the flexibility of working remotely
Take advantage of 40 paid days off
Competitive compensation package
Location: European Union
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
About the role
As a Product Manager at Cast AI, you’ll drive our cloud-native platform forward by gathering user insights, shaping roadmaps, and leading cross-functional teams to deliver impactful, Kubernetes-powered products.
We are currently looking for Product Managers in the following product areas:
Storage Optimization
Reporting
OMNI
Workload Autoscaler
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries:
Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine
.
Requirements:
Proven experience owning B2B software products in a cloud-native environment with strong Kubernetes domain knowledge - you understand node lifecycle, autoscaling, and cloud infrastructure economics, not just the PM layer on top of them.
Kubernetes certification (
CKA
preferred) - you either already hold it or will complete it within your first 6 months.
Demonstrated use of AI tools - LLMs, coding assistants, or agentic workflows - to accelerate product work. You don't need to ship code, but you should already be using AI to reduce cycle time on research, documentation, and decision-making.
Hands-on experience defining and tracking product metrics in B2B SaaS contexts, with the ability to move from raw data to actionable insight.
Excellent writing skills - you can communicate complex technical capabilities through formats like
PR
/FAQ that make the value clear to both technical and business audiences.
Direct enterprise customer experience - comfortable running discovery interviews and translating ambiguous customer feedback into crisp product requirements.
Familiarity with modern product management practices and a bias toward outcome-driven, evidence-based decision making.
Education: Computer Science, Information Technology, or equivalent practical experience in a technical domain.
Responsibilities:
Own a product area end-to-end - from discovery through delivery and adoption - working directly with enterprise customers, SEs, TAMs, and engineering to identify problems worth solving and ship solutions that matter.
Drive customer and market discovery through direct user engagement, Proof of Value cycles, competitive analysis, and close collaboration with the
GTM
team.
Use AI tools and LLMs actively in your daily workflow - for discovery synthesis, spec drafting, competitive research, customer interview summarization, and pattern recognition across data.
Define and track product metrics that reflect real customer outcomes, using tools like PostHog and control-plane usage data to inform prioritization and validate decisions.
Write clear, structured product narratives -
PR
/FAQs, one-pagers, feature briefs - that align engineering, design, and stakeholders around a shared understanding of what we're building and why.
Work across organizational boundaries - with product, engineering, design, sales, and support - to drive prioritization decisions and unblock execution.
Identify and lead process improvements in the Product Management team and contribute to raising the bar across the wider organization.
What’s in it for you?
Competitive salary (€5000 - €8000 gross, depending on the level of experience)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: San Francisco
Workplace: remote
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Role Summary:
This role owns quality for LOIS for Word, Filevine's AI-powered legal drafting product. You'll help build and own the QA function: the test strategy, the process, and the automation. You'll work at the intersection of legal AI and product quality, evaluating everything from AI output accuracy to UI behavior across the product. A big part of this role is moving quality upstream, so it's built into how features are planned and shipped from the start.
The ideal candidate has 2+ years of QA experience, brings a sharp eye for both functional bugs and AI quality issues, is comfortable building from scratch in ambiguity, and gets genuinely uncomfortable shipping something they haven't tried to break.
What You'll Do:
Define and own the test strategy, process, and QA playbook for the product
Move QA upstream by partnering with product and engineering early, so test plans are ready before features ship
Evaluate AI output quality across dimensions like accuracy, citation reliability, and appropriately scoped reasoning
Design and maintain evaluation sets that account for non-deterministic output and catch regressions over time
Test how AI-generated edits apply to documents, including accuracy and formatting fidelity across document structures
Build automated guardrails integrated into CI/CD that cover critical flows
Write structured, reproducible bug reports
Partner with legal domain experts to understand how different customer types use the product, and translate that into test coverage
Approach QA with a product and design mindset. If something works but could be better, we want to hear it
Compare behavior across product surfaces and document discrepancies
What You'll Need:
2+ years of QA experience, including ownership of test strategy for a product or major feature area
Track record of building QA process and automation from scratch in a fast-moving environment
Comfort operating in high ambiguity, where features ship quickly and you figure out how to test them fast
Strong analytical and problem-solving skills, with attention to both functional correctness and AI output quality
Ability to reason about non-deterministic systems and define what "correct" means when there's no single right answer
Excellent written communication, with the ability to write clear, concise, actionable bug reports backed by evidence
Experience with bug tracking tools and test management workflows
Nice To Have:
Experience testing AI or LLM-based products, especially for output accuracy and eval design
CI/CD experience setting up pipelines and release gates for automated tests
A design or UX sensibility, with an eye for where product workflows could be smoother
Prior experience in legal technology or comfort reading legal contracts
Programming experience beyond test automation
Compensation Information: $105,000 - $150,000
The salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance.
An individual’s final offer will be weighted by their primary work location and expertise.
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
Location: Washington DC
Workplace: Remote
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE ROLE
As our first Federal Partner Alliances Lead for the US, you will own the systems integrator and consulting partner ecosystem across the US Federal market. This is a high-leverage, senior individual contributor role where you will build and drive our federal partner strategy from the ground up — focused primarily on establishing deep, revenue-generating relationships with the major Federal Systems Integrators (FSIs) and a curated set of specialized boutique partners.
You are an operator at heart who loves the ambiguity of a fast-growing startup. You understand how developer tools and enterprise AI stacks fit together within the unique compliance and regulatory requirements of the federal space, and you have a track record of driving sourced and influenced revenue through partner channels without needing a heavy management playbook to guide you. This role sits within our GTM organization and will work closely with our field sellers, customer engineering teams, and product leaders to embed LangChain into the delivery practices and solution portfolios of the partners who win and execute the biggest federal AI programs.
WHAT YOU'LL DO
- Own FSI Relationships: Build and lead LangChain's strategic partnerships with the major federal primes — including Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, Accenture Federal, and similar large-scale integrators. Drive structured engagement across their AI/ML practices, solution architects, and business development teams to embed LangChain into active and upcoming program pursuits.
- Develop Boutique and Specialized Partners: Identify and activate a curated set of smaller, mission-focused federal consultancies and AI-native partners that are embedded in specific agency relationships or cleared environments where the primes don't reach.
- Build Joint Go-to-Market Motions: Work with FSI partners to co-develop solution offerings, reference architectures, and proposal language that positions LangChain as the preferred agentic AI framework for federal program delivery.
- Drive Pipeline Through Partners: Own the partner-sourced and partner-influenced pipeline, working hand-in-hand with LangChain's field sales team to ensure FSI relationships translate into real opportunities and closed revenue.
- Support Hyperscaler Relationships Selectively: Maintain a lightweight working relationship with AWS GovCloud, Azure Government, and GCP Public Sector teams, primarily to support event sponsorships, joint visibility opportunities, and marketplace presence — without making this a primary focus of the role.
- Execute Co-Marketing Motions: Partner with marketing to show up effectively at key federal industry events (AFCEA, AWS Summit DC, industry days) and develop technical content and co-branded materials that reinforce LangChain's credibility with FSI and agency audiences.
- Build the Playbook: Create the operational blueprint for how LangChain scales federal partnerships — from initial relationship mapping and partner tiering to joint pipeline tracking and executive engagement cadences.
WHAT YOU'LL BRING
- Experience: 6+ years of experience in federal partner management, business development, or alliance roles, with a strong track record of building and monetizing relationships with major FSIs and federal primes. Direct experience working within or alongside Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, or similar organizations is a significant plus.
- FSI Network: A genuine, pre-existing network within the business development, AI/ML practice, and solutions architecture communities at the major federal primes. You should be able to get meetings quickly and have credibility with the people who shape program pursuit decisions.
- Technical Foundation: Enough technical fluency to speak credibly with enterprise architects and engineering leads in federal environments. You don't need to write code, but you must understand how LLMs, agentic frameworks, and developer tooling operate within federal infrastructure, including FedRAMP, IL4/IL5, and zero-trust requirements.
- Startup Agility: Proven ability to navigate a high-growth environment with limited structure. You are comfortable building the playbook as you run it, executing independently with minimal supervision in the often long-cycle federal sales environment.
- Operational Rigor: Strong pipeline management skills. You track partner activity with clean CRM hygiene, maintain accurate opportunity attribution, and communicate clearly and consistently to internal stakeholders.
- Strong Communication & Influence: Equally comfortable writing sharp internal strategy docs as you are presenting to senior BD and practice leaders at major federal integrators.
NICE TO HAVE'S
- Active security clearance (Secret or higher) or existing clearance eligibility.
- Prior experience at an open-source, developer tools, or infrastructure software company bringing a new technology into the federal FSI ecosystem.
- Familiarity with federal procurement vehicles (GSA Schedule, OTAs, BPAs) and how primes use them to structure program delivery.
- Familiarity with the modern LLM orchestration stack, federal data environments, and compliance frameworks (FedRAMP, NIST, CMMC).
Annual Salary Range: $190,000 to 270,000 + Equity
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: New York, United States; San Jose, California, United States
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
Lifecycle marketing at OKX is evolving. We're not looking for someone to run campaigns — we're looking for someone to fundamentally rethink how we engage traders across the US market on one of the world's leading crypto platforms.
This is a leadership role for a marketer who thinks in systems, not sends. Someone who is comfortable defining a US-market engagement strategy as well as getting into the work to make it happen. Reporting to the Global Head of Lifecycle Marketing, you'll help define the vision, strategy, and output of lifecycle marketing for the US. Your execution layer is AI agents, cross-functional partners, and co-operating with the broader Lifecycle marketing team. That means your ability to train, direct, brief and critique is as important as your ability to set direction.
If your default mode is execution and program management or pure strategy and handoff, this isn't the role for you. If your default mode is leading from the front, and you have the craft and judgment to shape the work through strategic problem-solving, AI-native thinking, and a relentless focus on what quality looks like to actually move users — read on.
What You’ll Be Doing
Lifecycle Strategy & Vision
Define how OKX engages US users from acquisition through activation, retention, and reactivation — across segments and products. You'll set the strategic framework for the US market, working in close alignment with the Global Head of Lifecycle to ensure regional strategy ladders into global priorities. This means deeply understanding US crypto user behavior, identifying the highest-leverage moments in the lifecycle, and building programs that compound over time.
AI-Native Ways of Working
You will lead by example in embedding AI into every layer of lifecycle marketing — from ideation and content development to segmentation, testing, and analysis. Critically, this includes building and training agentic AI workflows: multi-step, autonomous systems that execute lifecycle programs at scale. You'll know the outcomes of poorly trained agents. You won't just adopt AI tools; you'll help determine which ones we build, which we leverage for each task, and how we use them to raise the ceiling on what a lean, high-performing team can deliver.
Insight-Led Decision Making
You'll be the person in the room who can translate user behavior data into a point of view — and then into a program. You'll develop a deep understanding of our user segments, their motivations, and the signals that predict engagement, conversion, and churn. Reporting and dashboards are a starting point, not the destination.
Cross-Functional Leadership
Lifecycle doesn't work in isolation. You'll build genuine partnerships with Product, PMM, Data, BI, Design, Legal, and regional teams — not just as a stakeholder manager, but as a strategic voice in how OKX grows. You'll influence roadmaps, shape go-to-market planning, and ensure lifecycle has a seat at the table early.
What We Look For In You
Strategic instinct.
You've led lifecycle programs that were defined by a clear strategic thesis. You can articulate why a program is designed the way it is, what user problem it solves, and how it ladders to business outcomes.
Demonstrated AI fluency.
You actively use AI in your day-to-day work, including agentic tools and autonomous workflows. You've built or directed the development of AI-powered systems/processes and can speak specifically to how you've trained agents, trained co-workers to use them, where you've course-corrected poor outputs, and where AI genuinely creates leverage versus where it doesn't. Using AI chat tools is a baseline, not a differentiator.
A user behavior obsession.
You think about users before you think about channels. You can read engagement data and form a hypothesis. You know the difference between a segment and a persona, and you know how to use both.
Ability to execute with speed and excellence:
You can look at a lifecycle program, a campaign brief, a piece of copy, or a targeting strategy and know immediately what's working and what isn't — and articulate why. You can develop these yourself when needed. This isn't primarily an executional role, but you bring enough craft and hands-on judgment to direct AI agents and cross-functional partners with precision, and to close the gap between strategy and output without losing quality.
Comfort with ambiguity and a bias toward action.
OKX moves fast. The crypto landscape moves faster. You'll be expected to make smart decisions with incomplete information, move quickly, and refine as you go — not wait for perfect conditions.
Demonstrated leadership through strategic change.
You've been in situations where direction shifted — market conditions, business priorities, platform constraints — and you didn't just adapt, you led. You can point to specific moments where you reoriented a team or program mid-flight, held quality standards under pressure, and came out with momentum intact.
Global perspective, local instinct.
You've worked across multiple markets and understand that a single lifecycle strategy rarely fits all. You know how to build frameworks that scale globally while giving regional teams the flexibility to be relevant locally.
Nice to Haves
15+ years in lifecycle, CRM, or growth marketing in a high-growth, fast-paced environment
Demonstrated track record of building lifecycle strategies that drove measurable impact on activation, retention, or LTV — not just engagement metrics
Meaningful AI adoption in your own workflows — you should be able to speak specifically to how you use it and what it's changed
Experience with Marketing Automation tool roll outs is an advantage
Experience in crypto, fintech, or financial services strongly preferred
Familiarity with CeFi/DeFi and genuine curiosity about the crypto space
Strong communication skills — you can present a strategy to a CMO and a campaign brief to a designer with equal clarity
Perks &
Benefits
Competitive total compensation package
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The salary range for this position is $200,000 - $300,000
The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: South Africa (remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects.
In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others.
You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations.
WHAT YOU’LL DELIVER
- Depending on the task, you may be asked to generate original content or assess AI-generated outputs.
- Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit.
- Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches.
- Provide concise, structured annotations that can be used directly for model improvement.
- Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards
QUALIFICATIONS
- Native fluency in the target language
- Strong command of English
- Experience as AI reviewer, annotator, or evaluator preferred
- Comfortable working with both textual and audio/video materials
- Ability to follow detailed guidelines consistently and provide clear feedback
- High attention to detail and ability to thoroughly and accurately categorize content
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Philippines (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects.
In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others.
You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations.
WHAT YOU’LL DELIVER
- Depending on the task, you may be asked to generate original content or assess AI-generated outputs.
- Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit.
- Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches.
- Provide concise, structured annotations that can be used directly for model improvement.
- Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards
QUALIFICATIONS
- Native fluency in the target language
- Strong command of English
- Experience as AI reviewer, annotator, or evaluator preferred
- Comfortable working with both textual and audio/video materials
- Ability to follow detailed guidelines consistently and provide clear feedback
- High attention to detail and ability to thoroughly and accurately categorize content
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: India (Remote); Nepal (Remote); China (Remote); Bhutan (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects.
In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others.
You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations.
WHAT YOU’LL DELIVER
- Depending on the task, you may be asked to generate original content or assess AI-generated outputs.
- Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit.
- Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches.
- Provide concise, structured annotations that can be used directly for model improvement.
- Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards
QUALIFICATIONS
- Native fluency in the target language
- Strong command of English
- Experience as AI reviewer, annotator, or evaluator preferred
- Comfortable working with both textual and audio/video materials
- Ability to follow detailed guidelines consistently and provide clear feedback
- High attention to detail and ability to thoroughly and accurately categorize content
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Singapore
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (
Clio
), we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country/regional-specific analysis
Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on:
Labor markets and the future of work
Productivity and task transformation
Economic inequality and displacement
Industry-specific disruption and adaptation
Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning
Demonstrated experience working in and relevant relationships across the region
Experience relevant to the study of AI’s impact on the economy, including:
Labor market analysis and occupational change
Task-based approaches to technological transformation
Large-scale data analysis and econometric methods
Large language models for social science research
Policy-relevant economic research
Experimental and quasi-experimental methods for causal inference
Macroeconomic modeling and time series forecasting
Agent-based modeling or large-scale simulation
Technical skills including:
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Demonstrated ability to:
Lead complex research projects from conception to publication
Communicate technical findings to diverse audiences
Build relationships across academic, policy, and industry communities
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Additional information
For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As a Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (
Clio
), we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country/regional-specific analysis
Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on:
Labor markets and the future of work
Productivity and task transformation
Economic inequality and displacement
Industry-specific disruption and adaptation
Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning
Demonstrated experience working in and relevant relationships across the region
Experience relevant to the study of AI’s impact on the economy, including:
Labor market analysis and occupational change
Task-based approaches to technological transformation
Large-scale data analysis and econometric methods
Large language models for social science research
Policy-relevant economic research
Experimental and quasi-experimental methods for causal inference
Macroeconomic modeling and time series forecasting
Agent-based modeling or large-scale simulation
Technical skills including:
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Demonstrated ability to:
Lead complex research projects from conception to publication
Communicate technical findings to diverse audiences
Build relationships across academic, policy, and industry communities
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Additional Information
For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£195,000
—
£245,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
УдалённоГеография найма не уточнена
United Kingdom
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ОфисOffice Based - Taipei, Taiwan; Communicate effectively with colleagues in a variety of time zones around the world
УдалённоThis role combines infrastructure operations, technical support, and platform administration, delivering specialised technical assistance to our company employees, including quantitative researchers, developers, and business teams across the Americas (GMT-3 to GMT-6) or Asia-Pacific (GMT+7 to GMT+9) time zones; Ability to collaborate across the Americas (GMT-3 to GMT-6) or Asia-Pacific (GMT+7 to GMT+9) time zones
География найма не уточнена
УдалённоSan Francisco
УдалённоleadWashington DC
New York, United States; San Jose, California, United States
УдалённоSouth Africa (remote)
УдалённоPhilippines (Remote)
УдалённоIndia (Remote); Nepal (Remote); China (Remote); Bhutan (Remote)