Location: Warsaw, PL
We bring startups and disruptive tech companies to the local market, offering engineers the opportunity to work on innovative, high-impact products. Join us and become a member of their R&D team while we take care of employment, HR support, a benefits package, and an enjoyable work environment.
Cycode
is an Agentic Development Security Platform (ADSP) that secures AI-driven software development from prompt to runtime.
As AI agents write more of the world’s code, Cycode gives teams control over what those agents generate, full context on where real risk sits across code, dependencies, pipelines, and production, and AI teammates that find and fix exploitable issues automatically, with engineers staying in control.
📌️️️️️️
Check this blog post
to understand the product and get to know the team.
As a Backend Engineer, you will take part in all stages of development, from architecture and design to deployment and production ownership. You will work closely with developers, product managers, and designers to build scalable, high-quality systems and influence technological and architectural decisions along the way.
Our stack includes .NET Core / C#, MongoDB, Redis, Kafka, PostgreSQL, Kubernetes, ArangoDB, Python, Terraform, Docker, and fully CI/CD-driven environments.
We're open to strong backend engineers coming from Java, Go, Rust, Python, Ruby, or other languages. What matters most is solid engineering fundamentals and a genuine willingness to switch to .NET / C# as your primary stack.
End-to-end development
Contribute to technological and architectural decisions
Work collaboratively with professional developers, Designers, and Product Managers to deliver a high-quality product
5+ years of production backend experience in any modern language (e.g., Java, Go, Rust, Python, Ruby) and readiness to switch to .NET
2+ years of experience with microservices development
Deep understanding of microservices architecture and cloud-native development
Experience designing and building asynchronous systems and working with message queues/event-driven architectures
Experience with databases
Experience in developing a SAAS product
Experience in developing a security-related SAAS product.
Experience with continuous integration and deployment (CI/CD)
B.Sc in Computer Science/Software Engineering or related field
Familiarity with the GraphQL framework
Familiarity with the Graph Databases
We're open to strong backend engineers coming from Java, Go, Rust, Python, Ruby, or other languages.
What matters most is solid engineering fundamentals and a genuine willingness to switch to .NET / C# as your primary stack.
At On The Spot, we’re creating a workplace people would want to stay in:
supportive, well-organized, and fair in terms of conditions and benefits.
We’ll share more about our benefit package during the interviews. In the meantime, you can always check our
Glassdoor reviews
.
Location: San Francisco; New York City
Perplexity is looking for a Content Designer to shape the words across our products. You'll design the language people see and hear across our family of Perplexity apps, from the first screen of onboarding to the way an agent explains what it's doing. Fundamentally, we are all writers. Our product is primarily spoken language and written product; but as we scale, we want someone who will continue to work on clarity, usefulness, and keep it unmistakably Perplexity.
You're a designer first? You're an engineer first? You're a writer first? Your shape is not conventional, and you wear many hats. You are fluent in AI tooling. You have strong UX fundamentals and good product instincts. You use language to solve product problems: flows, naming, information architecture, error states, permissions, and moments where people need to trust what the product is telling them. You command words. You command agents, and make decisions about words. You can write one perfect line, and you can build the system that keeps thousands of lines consistent.
You'll sit on the Design Systems team and work closely with product designers, engineers, PMs, research, brand, and marketing. (Again) You're fluent in AI-powered tools and use it every day. You understand how models behave, how prompts and system instructions shape what people see, and how to define and judge quality when the output isn't fully deterministic.
WHAT YOU'LL DO
- Design and write in-product language across web, mobile, desktop, and voice, including UI copy, flows, onboarding, notifications, empty states, errors, and in-product education
- Partner with product designers from the start of a project, shaping flows, structure, and information architecture as well as the words in them
- Name features and products, and own terminology, navigation labels, and taxonomies so the product stays easy to understand as it grows
- Make complex AI and agent behavior understandable, including what the product is doing, why, what it can't do, and when it needs a person's input
- Shape how AI-generated content reads by writing and refining prompts and system instructions, and help define voice and response style for our models in product
- Define content quality standards and help build evaluation criteria, datasets, and reviewer guidance for AI-generated content
- Build and maintain voice and tone guidelines, content patterns, and content guidance in our design system so every team can write well
- Use research, data, and experiments to test language and improve comprehension, activation, and task completion
- Partner with brand and marketing so product language and our external voice feel like one company
- Work with internationalization partners so the product reads well in every language we support
- Review copy in code and ship small language changes directly when it's the fastest path
WHAT WE'RE LOOKING FOR
- 5+ years of experience in content design, UX writing, or product design, shipping software at scale
- An excellent portfolio that shows how your language shaped product decisions, with clear before and after examples and your role in each
- Strong UX fundamentals, including interaction design, information architecture, usability, and accessibility
- Good product sensibility and judgment about what to build, what to cut, and what matters most to people
- Exceptional writing and editing skills, with range from precise interface copy to clear explanations and confident naming
- Strong AI fluency, including hands-on experience writing prompts, working with LLMs, and judging the quality of AI-generated content
- Systems thinking, with experience building content frameworks, style guides, or terminology that scale across teams
- Clear communication, with the ability to explain content decisions and tradeoffs to designers, engineers, and leaders
- You care about shipping great software more than anything else
NICE TO HAVE
- Experience designing content for AI products, assistants, agents, or conversational interfaces
- Experience with prompt engineering, model evals, or working with research teams on model behavior
- Experience across consumer and enterprise products, including admin, permissions, privacy, and billing flows
- Comfort working in code, such as editing strings, reviewing PRs, or prototyping with AI tools
- Experience with localization and writing for global audiences
NOTES FOR CANDIDATES
We want to see portfolio work where your words changed the product. Show us the problem, the options you explored, the language you shipped, and what happened after. We value end-to-end ownership, range, and impact, and we'd love to see examples of AI-related work, such as prompts, evaluations, or content you designed for model output.
Location: San Francisco; New York City
Perplexity is looking for a Content Designer to shape the words across our products. You'll design the language people see and hear across our family of Perplexity apps, from the first screen of onboarding to the way an agent explains what it's doing. Fundamentally, we are all writers. Our product is primarily spoken language and written product; but as we scale, we want someone who will continue to work on clarity, usefulness, and keep it unmistakably Perplexity.
You're a designer first? You're an engineer first? You're a writer first? Your shape is not conventional, and you wear many hats. You are fluent in AI tooling. You have strong UX fundamentals and good product instincts. You use language to solve product problems: flows, naming, information architecture, error states, permissions, and moments where people need to trust what the product is telling them. You command words. You command agents, and make decisions about words. You can write one perfect line, and you can build the system that keeps thousands of lines consistent.
You'll sit on the Design Systems team and work closely with product designers, engineers, PMs, research, brand, and marketing. (Again) You're fluent in AI-powered tools and use it every day. You understand how models behave, how prompts and system instructions shape what people see, and how to define and judge quality when the output isn't fully deterministic.
WHAT YOU'LL DO
- Design and write in-product language across web, mobile, desktop, and voice, including UI copy, flows, onboarding, notifications, empty states, errors, and in-product education
- Partner with product designers from the start of a project, shaping flows, structure, and information architecture as well as the words in them
- Name features and products, and own terminology, navigation labels, and taxonomies so the product stays easy to understand as it grows
- Make complex AI and agent behavior understandable, including what the product is doing, why, what it can't do, and when it needs a person's input
- Shape how AI-generated content reads by writing and refining prompts and system instructions, and help define voice and response style for our models in product
- Define content quality standards and help build evaluation criteria, datasets, and reviewer guidance for AI-generated content
- Build and maintain voice and tone guidelines, content patterns, and content guidance in our design system so every team can write well
- Use research, data, and experiments to test language and improve comprehension, activation, and task completion
- Partner with brand and marketing so product language and our external voice feel like one company
- Work with internationalization partners so the product reads well in every language we support
- Review copy in code and ship small language changes directly when it's the fastest path
WHAT WE'RE LOOKING FOR
- 5+ years of experience in content design, UX writing, or product design, shipping software at scale
- An excellent portfolio that shows how your language shaped product decisions, with clear before and after examples and your role in each
- Strong UX fundamentals, including interaction design, information architecture, usability, and accessibility
- Good product sensibility and judgment about what to build, what to cut, and what matters most to people
- Exceptional writing and editing skills, with range from precise interface copy to clear explanations and confident naming
- Strong AI fluency, including hands-on experience writing prompts, working with LLMs, and judging the quality of AI-generated content
- Systems thinking, with experience building content frameworks, style guides, or terminology that scale across teams
- Clear communication, with the ability to explain content decisions and tradeoffs to designers, engineers, and leaders
- You care about shipping great software more than anything else
NICE TO HAVE
- Experience designing content for AI products, assistants, agents, or conversational interfaces
- Experience with prompt engineering, model evals, or working with research teams on model behavior
- Experience across consumer and enterprise products, including admin, permissions, privacy, and billing flows
- Comfort working in code, such as editing strings, reviewing PRs, or prototyping with AI tools
- Experience with localization and writing for global audiences
NOTES FOR CANDIDATES
We want to see portfolio work where your words changed the product. Show us the problem, the options you explored, the language you shipped, and what happened after. We value end-to-end ownership, range, and impact, and we'd love to see examples of AI-related work, such as prompts, evaluations, or content you designed for model output.
Location: US, Remote
Workplace: remote
15Five is the AI-powered performance management platform built for business impact. 15Five’s AI-powered all-in-one people management system is easy to use, delivers effortless insights, and enables managers to lead with impact so that companies and their people can thrive. Within the flow of work, HR leaders are empowered with data-driven insights and recommendations while managers are transformed into change-makers, accelerating engagement, performance, and retention. 15Five combines generative AI, custom analytics, and human-centered principles within a complete platform, including 360° performance reviews, engagement surveys, goal tracking, manager coaching and training, and ongoing feedback tools like guided 1-on-1s and check-ins.
A career at 15Five is the chance to have high impact in a fast paced, remote startup environment that operates with focus, urgency, and accountability. Every role and every hire meaningfully impacts our trajectory.
We’re a high-performance, high-purpose team that gives you the chance to Build the Future of Work. We run on High Standards and High Support — holding a high bar for results, ownership, clarity, and disciplined execution, while investing in manager enablement, skill development, and whole-person care. We are committed to a No B.S. environment, meaning we anchor ourselves in truth, course-correct in real time, and expect people to lean into direct conversations. We are focused on ensuring every 15Fiver can Work in the Future and that starts with proactively using AI across all aspects of your role to increase leverage, speed, and impact.
If you're energized by a fast pace, high standards, and high accountability for yourself and others, you'll thrive here and we encourage you to apply.
15Five's customer support runs on an AI-native operating model: our AI agent (Fin) resolves routine customer questions, AI assistance lives inside every support tier, and a closed-loop content system turns every wrong or missing AI answer into a published fix. The AI Support Manager role operates that system; the percentages under What You'll Own are approximate shares of time. You own the day-to-day performance of our customer-facing AI agent, the Help Center content it draws from, which you own end to end, and the feedback loop that makes both better every week.
This is an operator role with clear boundaries, real authority inside them, and a defined escalation path for everything outside them. You will be the expert on how our support AI behaves and why. You will not be a lone hero: the role is built around documented runbooks, a shared intake queue, and a named second for every critical system.
What You'll Own
Fin/AI agent operations (25%):
our customer-facing AI agent resolves routine questions correctly and the quality-adjusted automation rate holds or improves month over month. Owns resolution quality, deflection with quality gates, topic configuration, prompt and behavior tuning, and escalation-to-human design.
Help Center content ownership (40%):
accuracy and AI-readiness of the Help Center as the shared knowledge layer feeding customer self-service and every AI surface. This role is the owner of every published article, where ownership means accountability for every published word, not typing them: AI drafts, this role structures, verifies, and publishes. Owns the taxonomy, article templates, and AI-retrieval writing standards, the Guru collections, the drafting pipeline, and the verify-and-publish workflow with Tier 1. Nothing ships to the knowledge layer without passing this role’s quality bar.
The content flywheel (20%):
every detected wrong or missing AI answer becomes a published fix. Triage AI-failure reports from the shared intake queue, trace each to root cause (retrieval failure, content defect, or product-truth gap), route product-truth gaps to their owner, and report gap-closure velocity.
Launch readiness (10%):
no release ships without its support content ready. Hold the support seat in release planning and prepare Help Center articles, Fin topics, and frontline teams before go-live.
Operability (5%):
no single point of failure. Maintain the runbooks, configuration documentation, and measurement baselines, and keep a trained second for every critical system. Documentation is part of done.
Where This Role Sits
This role is the support side of a larger AI ecosystem. It works best when the seams are clean, so here is who owns what around it:
R&D owns the AI knowledge-base architecture and the in-product AI (Amaya) knowledge stores, with a separate role scoped to that work. This role is their closest consumer: it keeps the knowledge layer they read from accurate and feeds architecture gaps back to them.
Leadership owns org-wide AI-native strategy and internal AI consolidation. This role informs those calls with ground truth from the operation.
Support tier leads own ticketing platform administration and support workflows. This role designs the AI handoffs that land in them.
This role owns the Guru collections and keeps them accurate and AI-ready, since Guru's AI answers from them.
New cross-team AI initiatives start with your manager, so they get prioritized before work begins.
How Success Is Measured
Quality-adjusted automation rate:
AI resolutions with no human takeover, no negative feedback, no reopen.
Knowledge gap closure rate:
speed from detected wrong/missing answer to published fix, weighted by impact. Top articles are proactively owned and current, not just reactively fixed.
Escalation precision:
when the AI hands off to a human, it lands in the right place with full context.
Operability:
every critical system has current runbooks and a functioning second; no single point of failure.
Partner trust:
tier leads, content, and product partners would say this function makes their work easier.
What We're Looking For
3–5+ years in support operations, CX operations, knowledge management, or conversational AI operations, with hands-on ownership of a production AI agent (Intercom Fin strongly preferred; Ada, Forethought, Decagon, or similar also relevant).
A proven content engineer: customer-facing help content you owned end to end, plus taxonomy, content verification workflows, structured authoring, and writing for AI retrieval, not just human readers.
An experimenter's method: hypothesize, test small, measure, then scale. Comfortable with AI-assisted workflows as a daily practice.
Strong analytical habits: you can trace a wrong AI answer through retrieval, content, and product behavior to root cause, and you show your work.
Collaboration as a first-class skill: you raise concerns early, directly, and through agreed channels; you disagree openly, commit fully, and treat peers' domains with the respect you expect for yours.
You build systems, not dependencies: your instinct when you become the only person who can do something is to document it and train a second.
Working Style
This role touches systems that many teams depend on, which makes judgment about scope as important as technical skill. The people who thrive in it:
check in before investing significant time in adjacent work,
surface risks to their manager as crisp recommendations rather than broad escalations, and
measure their impact by outcomes the team ships together rather than by territory.
We are explicit about this because the role's leverage is real: operated with focus and trust to deliver meaningful impact.
We offer amazing benefits that align with our values and culture at 15Five.
Your Health & Wellbeing
Medical, dental, vision with 15Five cost subsidy
Employer paid Short-Term, Long-Term Disability, and Term LifeFamily planning support with enhanced medical plans and consultation programs
Inclusive Benefits Stipend
Access to mental health and wellness resources
Your Life
Flexible Time Off Program
Generous paid leave for new parents
Military leave
Paid Company Holidays
Sabbatical Program
Your Future
401K with 4% Matching after 6 months
Your Work Life
Remote work
Work with experts in leadership, culture, and personal development
For more information see:
Our Mission, Vision, & Values -https://www.15five.com/about
Our People and Culture -https://www.15five.com/about/careers
Our Personal & Professional Development Resources -https://www.15five.com/resources/content-library
Reading over the role description and feeling like you don’t check every box? That’s okay; if you think you have what it takes but don’t necessarily meet all the criteria, please apply—you could be exactly who we are looking for!
15Five follows equitable hiring practices. Our compensation programs are designed to attract, motivate, and retain talented employees who are highly engaged, high performing, and have an exceptional impact on the business and our customers.
The salary range displayed on each job posting reflects the target for new hire salaries for the role across all US locations. Within the range, individual pay is determined by budget allocated for the role and additional factors, including job-related competencies and skills, experience, and relevant education or training. Please note that the compensation details listed in US job postings do not reflect added total compensation including equity or benefits.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
AI Support Operations Manager- Annual Base Pay Range, US Full-Time
This role's Total Rewards package includes participation in an annual discretionary company bonus program, equity awards, and comprehensive benefit and wellbeing offerings.
Responsibilities Design, build, and optimize automated outbound sequences with agentic workflows that personalize at scale. Work alongside marketing and GTM teams to generate pipeline from agentic GTM motions end to end: prospecting logic, enrichment, sequencing, measurement, and continuous improvement.
-Проектирование и разработка LLM-сервисов и API (REST/gRPC) для интеграции с внешними системами. -Создание и оптимизация RAG-пайплайнов и систем гибридного поиска для повышения качества и точности ответов.
Задачи:
- Развитие архитектуры Cortex: LangGraph-агенты, маршрутизация запросов, мультиагентные сценарии
- Разработка и оптимизация RAG-пайплайна: индексация документов, работа с эмбеддингами и реранкерами, поиск по векторным представлениям
- Интеграция с LLM (Claude / OpenAI / GigaChat / open-source модели), контроль стоимости инференса, стриминг ответов (SSE)
- Разработка backend-сервисов на Python
- Работа с PostgreSQL, в т.ч. с хранением и поиском по векторам
- Интеграция с ядром платформы Visiology через REST API (дашборды, метрики, модели данных)
- Точечные задачи на Angular/TypeScript (UI Cortex) и C#/.NET при стыковке с сервисами платформы
- Написание unit- и интеграционных тестов, разработка технической документации
Требования:
- Опыт коммерческой разработки от 6 лет
- Уверенное знание Python, опыт построения backend-сервисов
- Опыт работы с PostgreSQL
- Понимание базовых принципов работы с LLM и RAG: эмбеддинги, векторный поиск, prompt engineering, ограничения контекста
- Практический опыт работы с AI-ассистентами разработки (Claude Code, Cursor, Copilot или аналогами)
- Понимание работы веб-приложений (HTTP, REST API)
- Знание структур данных и шаблонов проектирования
- Умение проводить качественное code review
- Опыт работы с системами контроля версий (Git)
- Знание английского языка на уровне чтения технической документации
Location: Chicago, IL or Remote
CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the
multi-trillion-dollar
insurance economy
,
creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and
seamlessly. We’re
pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair
journey. Through
purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at
www.cccis.com
.
The Role
As a Senior AI Engineer, you'll own agents end to end within a problem area, from the first prototype to measured performance in production. You'll join a new engineering group at CCC building AI-native products for our auto casualty business, the injury side of auto claims. The group is small and senior, and it's growing fast. Our teams work on:
Medical bills: AI products that help claims teams handle the medical bills on injury claims accurately and efficiently.
Claims decision support: products that help claims professionals make better, faster decisions on injury claims.
Agentic Rules Platform: the rules engine and agentic tooling behind decisions across our casualty products, plus the evaluation infrastructure every team relies on.
You'll build the AI agents behind our products. They work with complex documents and claim data, call tools, and support claims experts in their daily work. You'll own the orchestration, retrieval, evaluations, and guardrails that make them safe to rely on, and you'll write the production code to ship them.
Salary range is:
$180,000 - 225,000
This position is bonus eligible.
Key Responsibilities:
Design and build LLM-powered agents and workflows: orchestration, tool use, retrieval, structured extraction, and human-in-the-loop review
Build evaluations with data labelers and subject matter experts, and run them on every change
Make agents production-grade: guardrails, observability, cost and latency, and careful handling of sensitive health data
What success looks like:
In your first month, you've shipped a measured improvement to an existing agent.
By six months, an agent you built is in production with customers, backed by evaluation results.
Requirements:
Typically 5+ years of professional software or ML engineering experience, including meaningful recent work with LLMs
Strong production engineering skills in Python, including API services, and comfort working in TypeScript
At least a year of shipping LLM-powered products to real users, including retrieval (RAG, embeddings, vector search) and prompt engineering
Experience designing evaluations for non-deterministic systems, and the habit of measuring before and after every change
A quantitative mindset: you're comfortable with metrics, sampling, error analysis, and knowing when a result is real
Real experience shipping faster with AI-assisted or agentic engineering tools, with examples you can walk us through
Nice to have:
Document understanding, OCR, or extraction from complex documents
Experience fine-tuning LLMs or working with multimodal data
Interview Policy & Privacy Notice:
A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available
HERE
.
About CCC's Commitment to Employees:
CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.
At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success.
CCC offers competitive compensation and benefits to support you and your families, including:
401K Match
Paid time off
Annual Incentive Plan Performance Bonus
Comprehensive health insurance
Adoption Assistance
Tuition Reimbursement
Wellness Programs
Stock Purchase Plan options
Employee Resource Groups
For more information about our benefits, please check out our
careers site
.
Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture
here
Location: 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
We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function. As a senior member of the second line of defense (2LOD), this leader will provide independent oversight and effective challenge of fraud models used to detect, prevent, and manage fraud risk across OKX’s products and customer journeys.
The role will lead end-to-end validation of fraud models, from conceptual soundness, data and implementation review to outcomes analysis, performance monitoring, and remediation follow-up. The portfolio may include supervised machine learning models, anomaly detection, graph and network analytics, rules-based or hybrid systems, and AI-enabled fraud applications.
The ideal candidate brings deep hands-on experience in fraud model validation, strong quantitative judgment, and practical experience assessing AI/ML models. This person will partner closely with Fraud, Risk, Product, Data Science, Engineering, Compliance, and Audit teams while maintaining the independence of the MRM function.
This is a hands-on, builder role: the successful candidate will independently establish the fraud model validation capability from the ground up, personally execute validations, and play a leading role in assessing AI-enabled systems.
What You’ll Be Doing
Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation, and outcomes analysis, in line with SR 26-2 and equivalent model risk frameworks.
Assess model conceptual soundness, intended use, assumptions, and limitations.
Personally execute end-to-end model validations as the technical expert, including independently reproducing results through hands-on data analysis and code review.
Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability, and appropriate human oversight, applying strong applied AI evaluation expertise.
Perform ongoing monitoring review and periodic revalidation to ensure sustained model performance through changing fraud patterns and business conditions.
Provide effective challenge to model owners; communicate conclusions, limitations, and risk ratings clearly to senior management and governance forums, and track remediation through closure.
Build and continuously mature the fraud model validation capability, standards, and workflows within MRM.
What We Look For In You
Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience.
10+ years of quantitative, fraud risk, or model risk experience, with a recognized track record as a hands-on technical expert who personally delivers independent validations of models and decision systems.
Excellent communication and judgment, including the ability to explain quantitative findings to senior audiences and constructively challenge model owners.
Practical experience with statistical and machine learning methods; proficiency in Python and SQL; working knowledge of SR 11-7 or equivalent model risk and AI governance frameworks.
Experience with AI/ML governance and controls, including explainability, fairness, robustness, ongoing monitoring, or generative and agentic AI applications in fraud operations.
Nice to Haves
Experience establishing validation frameworks, methodologies, or capabilities in settings where they did not previously exist.
Strong applied AI capability: hands-on experience evaluating or building ML/LLM-based systems in production, including prompt engineering, evaluation harnesses, fine-tuning assessment, or agentic AI workflows; able to run red-team style testing on AI applications.
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: New York, 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
We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function. As a senior member of the second line of defense (2LOD), this leader will provide independent oversight and effective challenge of fraud models used to detect, prevent, and manage fraud risk across OKX’s products and customer journeys.
The role will lead end-to-end validation of fraud models, from conceptual soundness, data and implementation review to outcomes analysis, performance monitoring, and remediation follow-up. The portfolio may include supervised machine learning models, anomaly detection, graph and network analytics, rules-based or hybrid systems, and AI-enabled fraud applications.
The ideal candidate brings deep hands-on experience in fraud model validation, strong quantitative judgment, and practical experience assessing AI/ML models. This person will partner closely with Fraud, Risk, Product, Data Science, Engineering, Compliance, and Audit teams while maintaining the independence of the MRM function.
This is a hands-on, builder role: the successful candidate will independently establish the fraud model validation capability from the ground up, personally execute validations, and play a leading role in assessing AI-enabled systems.
What You’ll Be Doing
Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation, and outcomes analysis, in line with SR 26-2 and equivalent model risk frameworks.
Assess model conceptual soundness, intended use, assumptions, and limitations.
Personally execute end-to-end model validations as the technical expert, including independently reproducing results through hands-on data analysis and code review.
Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability, and appropriate human oversight, applying strong applied AI evaluation expertise.
Perform ongoing monitoring review and periodic revalidation to ensure sustained model performance through changing fraud patterns and business conditions.
Provide effective challenge to model owners; communicate conclusions, limitations, and risk ratings clearly to senior management and governance forums, and track remediation through closure.
Build and continuously mature the fraud model validation capability, standards, and workflows within MRM.
What We Look For In You
Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience.
10+ years of quantitative, fraud risk, or model risk experience, with a recognized track record as a hands-on technical expert who personally delivers independent validations of models and decision systems.
Excellent communication and judgment, including the ability to explain quantitative findings to senior audiences and constructively challenge model owners.
Practical experience with statistical and machine learning methods; proficiency in Python and SQL; working knowledge of SR 11-7 or equivalent model risk and AI governance frameworks.
Experience with AI/ML governance and controls, including explainability, fairness, robustness, ongoing monitoring, or generative and agentic AI applications in fraud operations.
Nice to Haves
Experience establishing validation frameworks, methodologies, or capabilities in settings where they did not previously exist.
Strong applied AI capability: hands-on experience evaluating or building ML/LLM-based systems in production, including prompt engineering, evaluation harnesses, fine-tuning assessment, or agentic AI workflows; able to run red-team style testing on AI applications.
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: 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 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 the founding leader of Applied AI Solutions Architecture in Singapore, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across ASEAN enterprises and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.
You'll be responsible for building and leading the ASEAN Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across ASEAN.
In collaboration with the Sales, Product, and Engineering teams globally and locally, you'll help enterprise partners across ASEAN incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.
Responsibilities
Build and manage the foundational team of Applied AI professionals in ASEAN regions (Solutions Architects and Product Engineers) providing both technical guidance and career development
Set goals and reviews for your team, promoting growth and output
Work with a handful of highest-value enterprise customers across ASEAN on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution
Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for ASEAN enterprise customers
Contribute to thought leadership through conference presentations, webinars, and technical content creation within the ASEAN market
Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
Travel regularly to customer sites across ASEAN for executive-level sessions, technical workshops, and building relationships
Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities
Stay current with emerging AI/ML trends and competitive landscape in the ASEAN enterprise tech sector, including the region's highly regulated industries (financial services, government, resources)
You may be a good fit if you have
15+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
5+ years of technical go-to-market management experience, specifically managing pre-sales teams
Experience working with ASEAN enterprise customers and understanding local business culture, procurement processes, and decision-making dynamics across ASEAN
Familiarity with the ASEAN regulatory landscape (e.g., Singapore Privacy Principles, APRA CPS 234, data sovereignty requirements) and how it impacts enterprise AI deployments
Experience with the unique technical requirements and technical procurement process of enterprise tech companies
Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment
Have excellent communication, collaboration, and coaching abilities
Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general
Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
Make ambiguous problems clear and identify core principles that can translate across scenarios
Have a passion for making powerful technology safe and societally beneficial
Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
Stay up-to-date and informed by taking an active interest in emerging research and industry trends
Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies
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: Dubai, United Arab Emirates
KAIZEN Asset Management Services is a Dubai-based property and asset management company. We are committed to placing the right people in the right roles and to continuous improvement in everything we do. Our Handover team forms the first substantive point of contact between a new owner and their residence, and the quality of its work shapes the customer’s experience of the entire journey.
Position Overview
KAIZEN is seeking a Senior Handover Engineer to lead the technical inspection, snagging and handover of residential units. The successful candidate will identify mechanical, electrical and plumbing (MEP), civil and finishing defects, drive rectification with developers and contractors, and manage technical complaints and Defect Liability Period (DLP) issues. The objective is to ensure that every unit is handed over to the required standard and transferred to the Facilities Management (FM) team with no outstanding items. The role requires a high degree of ownership, the ability to work independently across multiple projects, and sound technical judgement.
Key Responsibilities
Conduct technical inspections of residential units, ensuring complete coverage of each unit and adherence to the inspection schedule.
Identify MEP, civil and finishing defects, and record each with clear classification and supporting evidence.
Manage the snagging, de-snagging and rectification process, including re-inspection until works are accepted.
Coordinate with developers, contractors and FM teams, responding promptly to requests and ensuring units are handed over to FM with no open items.
Handle technical complaints and DLP issues, resolving them within agreed service levels and within the defect liability period.
Prepare inspection reports within the required timelines and follow up on pending defects through to closure.
Requirements
Bachelor’s degree in Mechanical or Electrical Engineering
Minimum of five (5) years of experience in engineering, facilities management or asset management
Minimum of two (2) years of experience in residential handover and in-unit snagging
Strong MEP knowledge and technical problem-solving skills
Excellent communication and customer service skills
Ability to manage multiple projects independently
Valid UAE driving licence and access to a personal vehicle (mandatory)
Location: New York, NY (HQ); San Francisco, CA; Remote (US)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Ramp believes that AI-powered CX organizations are the future and we are racing to build the best one in the world. Our goal is for our team to work hand in hand with AI agents to drive superlative customer outcomes and the highest-velocity AI improvement engine in the business.
This role will own the strategy and ops teams that are making that transition a reality while still delivering 24/7/365 support for our 85,000+ customers every day. You will work with the Head of CX to set the goals, measure what matters, and build the systems and programs that push the team forward. You’ll manage a small and mighty team across Business Operations, CX Analytics, Workforce Management, Learning & Development, and CX AI Operations to accomplish your goals.
We believe every CX frontline specialist has a role to play driving forward the performance of our AI agents - it is not work reserved for a dedicated AI team. Each specialist needs to be trained, coached, scheduled, and rewarded for continuous work of closing AI learning loops, ensuring AI escalations get resolved, and obsessing about how our customers are actually being served.
You'll do this while running a global support operation that has to be excellent today. Once we nail the model in CX, there will be momentum to help other operations teams adopt it.
WHAT YOU’LL DO
- Set the goals and measure what matters. Work with the Head of CX and senior CX managers to set org-wide goals, decide how we measure progress, and deliver the programs and projects that enable that strategy to flourish.
- Define how specialists and AI agents work together. Build the roles, workflows, and expectations that let specialists and AI agents serve customers as one team.
- Change what we reward. Rebuild goals, incentives, and performance management so specialists get credit for closing AI learning loops, getting AI escalations resolved, and improving how customers are actually served, alongside traditional frontline performance.
- Own global schedules, capacity, and quality. Plan coverage for 24/7/365, multi-tier, global support that holds a high bar for customers of all shapes and sizes.
- Build the training model for the new work. Both new and tenured specialists need to investigate hard issues, judge agent behavior, and contribute fixes, while still developing a deep understanding Ramp’s complex financial products. L&D should make them good at all of it.
- Turn AI progress into operating change. Know what our Investigative Copilot (specialist-facing) and AskRamp (fully agentic) can do and how well they do it. When that moves, change staffing, workflows, training, and expectations to match.
- Build and own the voice of the CX specialist to Product and Engineering. Use CX data to show technical teams where agents succeed and where they struggle, and work with them directly on tooling, prompts, and agent behavior. They own the roadmap; you make sure CX's evidence shapes it.
- Build a small, strong team. Develop and grow leaders across Business Operations, CX Analytics, Workforce Management, Learning & Development, and CX AI Operations, with clear ownership and shared goals.
WHAT WE’RE LOOKING FOR
We want an operator who has already changed how real work gets done with AI and can show the results.
- A record of strategic and operational execution inside an operating unit or fast growth business. That could be CX, Sales, supply chain, or another function where you owned the goals, the systems, and the outcomes.
- A genuine AI transformation you were on the front lines of in the last 18-24 months. You changed how a team’s work gets done and kept it running in production. You can explain what improved, what failed, and what you learned.
- Exceptional intellectual horsepower and natural curiosity, demonstrated through outstanding, standout performance across past roles in demanding environments.
- Experience leading teams and developing reports, with sound judgment about organizational design, incentives, and performance management.
- Analytical depth you use yourself: you can build or audit a capacity model, challenge a metric, diagnose an operating problem, or review an AI agent session to find the flaws.
- Credibility with Product, Engineering, and Data teams, and the ability to shape their priorities without a reporting line.
- High standards for customer quality and human accountability - you don’t compromise on the customer outcome.
HELPFUL EXPERIENCE
- Leadership spanning business operations, CX analytics, workforce management, learning and development, or AI operations or their equivalents in other operating teams.
- Experience with production AI agents, evaluations, escalation workflows, and continuous improvement.
- Taking an operating model that worked in one team and making it successful elsewhere.
HOW SUCCESS WILL BE MEASURED
- Specialists and AI agents work as one team, measured through both direct frontline performance as well as agentic velocity.
- Every specialist is trained, coached, scheduled, and rewarded for migrating successfully into an AI native version of the role.
- Learning loops close fast, AI escalations produce durable fixes, and new agent capabilities show up as operational gains.
- Customer quality goes up and 24/7/365 support stays excellent while the operating model changes.
- Other Ramp operations teams are adopting what worked in CX.
COMPENSATION
For candidates located in New York City or San Francisco, the base salary range for this role is $184,000–$250,000. For candidates located in all other locations, the base salary range will be between $175,000-$220,000.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Canada; Calgary; Vancouver; Toronto; Montreal
Workplace: Remote
Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role?
We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans: by way of feedback. By labeling, ranking, auditing, prompting, red teaming, and correcting output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech.
Cohere is looking for Data Annotation Specialists with backgrounds and skills in Trust & Safety, Content Moderation, AI model evaluation, or related fields. This role is best suited for candidates who bring strong contextual judgment, cultural and bias sensitivity, and experience applying nuanced guidelines to complex or ambiguous content. Successful candidates will be highly detail-oriented, comfortable evaluating safety risks across different user intents and scenarios, and able to make consistent, well-reasoned decisions with a high degree of independence after onboarding.
IMPORTANT CONTEXT ON THIS ROLE: In this position, you will be asked to engage with human-generated and model-generated tasks which will sometimes mean intentional exposure to explicit content. Your annotations on these explicit tasks will be used to prevent the Large Language Model from generating unintentional, adversarial, toxic, or unsafe outputs. The types of explicit content you may be exposed to may include but are not limited to those of a sexual, violent, or psychologically disturbing nature.
Please Note: This is a part-time, remote, independent contractor position available within Canada or the United States. We seek candidates who are able to commit to 16 hours per week minimum at a 45 CAD/hour or 40 USD/hour contract rate, depending on your location, consisting of 30/hour base pay plus 15 CAD or 10 USD/hour hazard pay. This role is BYOD 💻 - Bring Your Own Device (laptop). 12 months contract with potential for extension.
As a Data Annotation Specialist on safety task, you will:
- Evaluate and improve model safety: Label, rank, audit, and refine human- and model-generated text to improve safety, quality, and policy alignment, including content that may be sexual, violent, or psychologically disturbing.
- Apply nuanced safety judgment: Assess model outputs against detailed safety guidelines, rubrics, and style standards, making consistent decisions across ambiguous, sensitive, and context-dependent cases.
- Create prompts and safety test cases: Write realistic prompts, user scenarios, and adversarial examples that help evaluate model behavior across safety categories and uncover unsafe, evasive, over-refusing, or policy-inconsistent responses.
- Support quality and calibration: Identify annotation inconsistencies or unclear guidelines, and provide actionable feedback on recurring edge cases, model failures, and opportunities to improve data quality.
- Work with precision and independence: Complete annotation tasks with strong attention to detail, while being comfortable working independently in a globally distributed, asynchronous team environment.
You may be a good fit if you have:
- 1+ years of experience in Content Moderation,Trust and Safety, AI data annotation, LLM evaluation, or a related analytical role, with exposure to quality assurance, red teaming, and/or prompt engineering preferred.
- Experience applying detailed guidelines to complex and sensitive content, with strong contextual and sociocultural judgment and the ability to recognize and manage personal bias.
- Emotional resilience: Comfort working with content that contains unsafe, explicit, and/or toxic content, including content of a sexual, violent, or psychologically disturbing nature.
- Excellent command of written English and the ability to clearly justify content evaluations, including why an output is safe, unsafe, high-quality or low-quality. Bonus points if you are fluent in another language!
- Strong attention to detail and commitment to accuracy, with the ability to maintain consistency across high-volume and monotonous tasks.
- Strong execution in a remote environment, including good time management, comfort using new tools, and the ability to work independently in a global, asynchronous team.
The Candidate Journey:
Initial Screening - Once you have submitted your application our Talent Team will review your resume and writing samples.
Virtual Annotation Test - This assignment will test your written skill through various language-based tasks, such as a a writing sample, interacting with a chat bot, and more.
Video Screen - If selected to move forward, you will have a short video call with a member of our Operations Team!
Offer - Independent Contractor Agreement
As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by contractors invoicing for services provided pursuant to the terms of our agreement with the contractor.
It is important to understand that as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and therefore compensation for services when Cohere does not require as many hours of services in a week.
Prospective candidates, please be advised: this role involves working with human generated and model generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
Location: Montreal
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.
The Team:
As AI tools drive immense value across the firm, our organization faces a "Dual Mandate": providing low-friction access to the best frontier AI tools while strictly managing an exponentially growing cost curve. The newly formed AI Platform Team owns this unified mission. While the engineering side of our team builds the platform rails, the AI Platform Support & Enablement focus area acts as the crucial "human-in-the-loop." We are dedicated to ensuring high user velocity and frictionless adoption of AI tools while actively managing firm-wide cost efficiency and user education.
The Role:
We are seeking AI Enablement Engineers to own the data plane user experience. You will be the face of AI tooling for the firm, supporting developers and business users who use tools such as Cursor, Devin, ChatGPT, and LibreChat.
Key Responsibilities:
Own the support queue for enterprise generative AI tools. Troubleshoot IDE integrations (Cursor, Devin), chat interfaces, and access issues.
Actively consult with high-spending teams to safely "downshift" their workloads from expensive proprietary models (like Claude Opus) to cheaper mid-tier or internal open-weight models without degrading output quality.
Review manual quota-increase requests triggered by the Management Plane and guide users through spend visibility via internal dashboards.
Identify weaknesses in tooling, prompt engineering, or model routing, and feed user pain points directly to the AI Platform Engineering focus area to inform the technical roadmap.
Promote and evangelize effective, responsible use of enterprise AI tools, for example, by helping users understand and adopt AI 'golden paths', sharing success stories, and leading workshops.
Required Qualifications:
Strong customer-facing communication skills and a "white-glove" support mentality.
Technical fluency in prompt engineering and a deep, practical understanding of current LLM capabilities, behaviors, and limitations.
Familiarity with developer environments, IDEs (VS Code, Cursor) and CLI tools (such as Claude or Codex), is a major plus
Strong context of internal firm culture, user base, and existing support channels.
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-VD1
Location: San Francisco, CA | New York City, NY
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 Beneficial Deployments
Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most.
About the Role
We're looking for an Applied AI Architect to join Beneficial Deployments, focused on helping public health, global health and humanitarian organizations get real value from Claude. You'll be the technical lead for partners such as public health agencies and ministries of health, the institutes and NGOs that support them, and humanitarian organizations working in crisis settings. You'll help them find where Claude makes a real difference, from disease surveillance and outbreak response to health data, communications and program delivery, design solutions that fit their data, privacy and procurement rules, and turn early pilots into lasting deployments. What works for one partner becomes something the whole field can use.
Responsibilities
Serve as the primary technical advisor to a portfolio of health partners from discovery through deployment, turning their priorities into scoped use cases with clear measures of success.
Design and demo solutions with Claude, the API, Claude Science and Claude Code across surveillance, outbreak response, data analysis and public communications.
Guide partners through security review, data governance and procurement, from national agencies to field operations.
Run workshops, trainings and tabletop exercises that build AI fluency across partner teams.
Build reusable assets (reference designs, connectors, prompt and eval templates) so one partner's work helps the next.
Spot patterns across partners, bring field insight back to Product and Research, and help partners measure what changed.
Travel to partner sites for workshops, technical deep dives and relationship building.
You Might Be a Good Fit If You Have
3+ years in customer-facing technical roles such as solutions architecture, sales engineering, forward-deployed engineering or technical consulting.
Experience working with public health agencies, ministries of health, global health or humanitarian organizations, or similarly complex public institutions, including how they buy, adopt, and govern technology.
A track record of making technology stick inside slow-moving organizations with many stakeholders.
Hands-on experience building with LLM APIs: you can prototype a working demo. You don't need to write production code.
Clear written and spoken communication across a broad audience. The ability to explain technical tradeoffs to epidemiologists, program leads, field teams and executives.
Patience with long buying cycles, a knack for knowing how to make them go smoothly, and real care for public benefit.
Comfort operating in ambiguity: you bring clarity to fuzzy problems, wear multiple hats and do whatever it takes to further the mission.
Bonus if you've worked on disease surveillance, outbreak response, health information systems or emergency operations.
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:
$240,000
—
$315,000 USD
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.
San Francisco; New York City
San Francisco; New York City
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