Location: Argentina; Brazil; Colombia
Workplace: Remote
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
Solvd is seeking a Senior AI Engineer to join our team. This role will be essential in the winning of opportunities for the company, primarily focusing on supporting presales process and opportunities discovery with existing clients.
ABOUT THE PROJECT
Our client, a global e-commerce leader with a large-scale, service-oriented technology estate and complex cloud infrastructure, is seeking to elevate their customer support technology stack by introducing Agentic AI to streamline case workflow resolutions and by implementing an integrated platform to replace the fragmented set of solutions currently used by support agents.
Ultimately, our client aims to deliver a more personalized and satisfying support experience to end users - improving CSAT, reducing resolution time, and enhancing service quality across all channels.
We are developing a customer support research and resolution platform. The platform will include:
- data layer, provide a federated GraphQL interface that unifies access to multiple backend services, enabling low-latency, real-time data retrieval and transactional operations to support AI-driven workflows.
- agentic layer, supporting AI-assisted support workflows with human in the loop for validation and confirmation purposes
- research capability, allowing end users to intervene when AI is stuck or gives suggestions with low confidence - this capability should enable users to perform additional research, data lookups and actions execution using natural language prompts leveraging LLM and tools (lookups and mutating operations exposed via MCP servers)
The role will focus on designing, building and optimizing this agentic research flows for research capability. This is a multi-team, collaborative initiative that requires close coordination with other delivery teams, adherence to high engineering standards and a strong focus on integration and architectural alignment.
WHAT YOU’LL DO
- Design and implement AI-powered features: integrate LLM and build AI agents.
- Design and implement ent-to-end (frontend and backend) non-AI features, services and business logic that make the solution complete.
- Build and maintain MCP servers to expose domain data and capabilities as tools for AI agents.
- Implement RAG workflows to ground LLM responses in factual data using embeddings, chunking and vector databases.
- Instrument and optimize OpenAI integrations for cost, latency, and accuracy in production environments.
- Collaborate with product, design and architecture teams to craft exceptional user experiences built on AI.
- Participate in technical design reviews, shaping architectural decisions and engineering standards.
WHO ARE YOU
- You see engineering as an art of solving problems, using languages and frameworks as tools - not boundaries or limiting factors.
- You stay ahead of the curve, continuously tracking the latest developments in Generative AI and excited to be part of how it transforms digital solutions are how they are built.
- You know best practices of building AI agents leveraging OpenAI ecosystem (OpenAI Agents SDK specifically).
- You have 6+ years of server-side engineering experience, designing and building enterprise-scale software systems.
- You have a strong understanding of distributed systems design patterns.
- You have strong knowledge of different types of data stores (relational, document, vector, key-value) and understand when to use each effectively.
- You are fluent in React, Node.js, TypeScript and confident integrating OpenAI models in real-world applications.
- You are fluent in at least one non-JS programming language (Java is a strong advantage).
- You are able to express your thoughts and ideas clearly to different audiences, including non-technical stakeholders, bridging business and technical perspectives.
- You thrive in environments where AI isn’t a side feature but a core building block.
- You can take ownership of and drive feature implementation end-to-end, coordinating the work of multiple team members when needed.
- You have a strong understanding of Agile delivery methodologies and understand the importance of expectations management, estimations and commitments.
WHAT YOU BRING
- 6+ years of professional backend engineering experience, 3+ years with TypeScript/Node.js.
- 9+ months of commercial experience building AI features using OpenAI ecosystem.
- Hands-on expertise with the OpenAI Agents SDK - building and orchestrating AI agents with capabilities such as tool/function calling, assistants, streaming interactions, and stateful workflows.
- Experience designing and implementing MCP servers to integrate external capabilities with LLMs.
- Proven ability to design structured prompt architectures with evals, guardrails and observability.
- Familiarity with RAG: embeddings, chunking, vector search, retrieval orchestration.
- Strong fundamentals in building secure, performant, production-grade APIs and backend systems.
- Experience with CI/CD, testing, monitoring, and cloud infrastructure.
ADDITIONAL SKILLS
- Understanding concepts of semantic search is a strong advantage.
- Experience playing a role of team leaders is a strong advantage.
- Exposure to other LLM providers (e.g., Anthropic, Mistral AI, Hugging Face) is a strong advantage.
- Experience with streaming UIs, conversational UX, and SSE/WebSockets.
- Knowledge of prompt injection defenses and responsible AI practices.
TECH STACK
This platform is a green-field development.
- Core: TypeScript, Node.js, React/Next.js, Java
- AI: OpenAI API, MCP servers, OpenAI Agents SDK
- APIs: GraphQL, REST APIs, SOAP (downstream services - you won’t have to deal with them much)
- Data storages: Postgres + pgvector, Pinecone (or other vector DBs), RAG pipelines
- Infra: proprietary managed cloud (you won’t have to deal with any infra-level aspects
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
Location: London, England, United Kingdom; New York, New York, United States; Norwalk, Connecticut, United States; West Palm Beach, Florida, United States
Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies.
The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them.
Description
Graham is seeking a Quantitative Research Manager to join our Quantitative Strategies team, and report directly into our Chief Investment Officer of Quantitative Strategies. The individual will research and develop ways to improve GCM’s current trading systems while creating new systematic trading signals to complement and diversify the firm’s main strategies. The individual will maximize performance and competitiveness by utilizing advanced methods in quantitative analysis, risk management and portfolio optimization. In addition to leading collaborative team research efforts, this individual will also have the opportunity to manage their own alpha generating portfolio.
Responsibilities
Research and develop methods to make existing trading signals more efficient, profitable and robust
Research and develop new signals that trade futures and FX markets that complement and diversify production strategies in terms of style, source of alpha and markets traded
Research and develop portfolio construction and optimization methods to maximize performance while controlling risk, drawdowns and trading cost
Enhance the scalability and flexibility of portfolios to accommodate bespoke investment needs of clients
Follow robust research and development procedures to reduce differences between simulated and actual performance
Work collaboratively in a research team environment, using common development tools to facilitate robust implementation of research as well as production versions of trading systems
Interact with other departments – technology, operations, trading, marketing, and accounting - to ensure current and proposed ideas are implemented, monitored and executed efficiently and accurately
Regularly present findings and ideas to management and investment committee
Complete other projects as requested by senior management
Requirements
PhD or MS in a quantitative field
7+ years related experience in systematic trading on the buy side, primarily targeting futures and FX, but also open to sovereign credit, options, and OTC markets. Knowledge in short-term/intraday systematic trading strategies is desired
Advanced programming experience in languages suited for quantitative research and strategy implementation
Ability to synthesize complex topics into easily digestible written commentary
Strong communication skills – both written and verbal
Experience managing a team of quantitative researchers is a plus
This role requires commuting into one of our offices Mondays through Fridays. We have offices in Rowayton, CT, New York, NY, West Palm Beach, FL, and London, UK. Please note that our central Quantitative Research team sits out of Rowayton, CT.
Base Salary Range
The anticipated base salary range for this position is $250,000 to $300,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications. This wage range may be modified in the future.
In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs.
Notes:
No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law.
Other
Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.
Graham offers health benefits to eligible full-time U.S. employees, including medical, dental, vision, life and disability insurance, as well as other voluntary benefits such as spending accounts (HSA and FSA), and a profit contribution retirement plan. All employees also receive paid vacation and sick leave. Benefits eligibility is dependent upon a variety of factors, including employee classification and applicable waiting periods. Benefits are subject to change and may differ for non-U.S. roles.
Location: Office Based - Taipei, Taiwan
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets.
Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives
such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 80+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring an
Engineer Director, Devices Software Engineering
to drive the strategy and implementation of our next-generation Ubuntu hardware enablement quality. This critical function is part of our mission to transform Linux certification, in partnership with the engineering directors of Ubuntu Enablement and Ubuntu Certification. Our goal is to deliver the world's best long term OS stability commitment on PC, server and IoT hardware.
We believe that Engineering Directors should be outstanding engineers themselves. They should be very comfortable reviewing a patch or a software design spec. They are trusted engineers who understand the importance of a whole-team effort in creating great products, and who enjoy seeing colleagues develop. They should contribute code themselves to set the standard for coding, but know that the code they write is far less significant than their ability to shape the whole team’s direction, focus and delivery. We grow management skills, and train engineers who are interested in soft skills to be managers. Even though this is a director level position, managing managers, we expect Engineering Directors to be outstanding system software engineers with the confidence to lead by example across the full range of activities in their teams. You’ll need to know how to drive testing and benchmarking to improve the clarity in your teams around quality and performance. You’ll also need to be confident to set and defend high expectations of work ethic, consistency, focus and learning.
In this Engineering Director role, you will lead the strategy and the team responsible for quality coordination and integration testing of our software stacks with hardware. We are looking for a quality expert with the ability to establish quality processes from the ground up. The candidate must understand today's PC and ARM IoT hardware, and be excited about the new generation of RISC-V hardware that is on the horizon. They should understand the board and device product lifecycle and know the tools and techniques used to introduce new products. They will work with teams across the company to drive quality improvements through the entire development cycle. This challenging role demands a high degree of technical skill combined with management experience.
Today, most Linux certification is poor quality. Vendors run one set of tests and then declare that 'the hardware is certified'. But Linux is not a static platform. We make many more security fixes in the Linux world than people traditionally made in the proprietary OS world - all of these need to be tested on hardware which has been certified, even if that certification is 'old'. Also, Linux and open source evolve significantly every six months, and even more between major enterprise releases like the Ubuntu LTS versions. During the lifespan of an LTS, new kernel improvements will be available to users, and they want to be sure that their hardware will work. Today's Linux certification programs do not meet the needs of its users, and we want to change that.
Our intention is to deliver
continuous quality and certification
across the entire portfolio of certified hardware. Once we have enabled and certified a device, we intend to keep testing it to ensure that every single change we deliver to Ubuntu users globally is verified on all the hardware we know about. We also intend to
measure energy consumption
on a continuous process, as part of our commitment to
measure, manage and drive down the carbon footprint of Ubuntu
usage around the planet. We are building the world's largest and best-equipped Linux device certification facility in Taipei, which will enable this continuous testing. We are also structuring our renewed partnership and customer agreements to facilitate this process going forward.
We believe that open source is just starting to transform the tech sector and enterprise compute. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of ‘most software to most companies’. To deliver on that ambition, our engineers are carefully selected from the applicants across the globe. We select for brilliance and motivation to take open source to the next level. Our engineering directors and managers help teams achieve more than they thought they could, and feel proud of the result.
As an Engineering Director at Canonical your primary responsibility is to the teams you lead, to ensure that they measure outcomes, make process improvements, do valuable work, and find career satisfaction at Canonical. Technical leadership is a requirement, so that you’re able to challenge and grow your teams. Strong aptitude for planning, management and operations are necessary too. You will have the opportunity to influence our culture, facilitate technical delivery, and work with your teams on strategy and execution. You’ll select, develop, retain and lead teams of excellent software developers to design and implement software that runs on various CPU architectures, such as ARM, RISC-V, and x86. You will meet with stakeholders, prioritize requests, plan your roadmap and ensure the team can deliver their goals.
Location:
As an Engineering Director position, this requires a candidate who is confident to run a project which spans several teams and time zones, hiring and managing both engineering managers and staff engineers. The role is part of our global Canonical and Ubuntu engineering organisation. We prefer to appoint a candidate who will base themselves in our Taipei Minsheng office, alongside other enablement engineering leaders, and close to the stream of new hardware that goes into the certification lab.
Key responsibilities
Manage, mentor and grow the software engineering teams addressing hardware enablement quality assurance and testing
Lead the OEM QA Engineering team activity, which covers
Planning, creation and management of the overall quality planning strategy and documents
Improving our automated test capability with design and code contributions
Execution of automated and manual testing of Ubuntu Desktop and Core
Test result triage and precise bug creation
Suggesting solutions to identified problems
Overseeing continuous improvement projects
Establishing proactive measures to improve the quality and reliability of Ubuntu
Preparing time estimates and schedule for testing activities
Work with development teams across multiple projects to build efficient, effective automated testing
Develop your engineering managers and maintain Canonical culture
Hire staff level engineers for specific roles like performance and quality
Identify and measure indicators of team health and productivity
Implement rigorous engineering processes and defend them
Set and measure progress against benchmark goals for speed and efficiency
Represent your product to stakeholders, partners, and customers
Be an active part of the leadership team, collaborating with other leaders
Las but not least, work in a partnership spirit with the World's leading PC and IoT OEMs!
What we’re looking for
Exceptional academic track record from both high school and university
Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
Outstanding Linux based software engineering track record, preferably with low-level embedded experience
Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
Track record of going above-and-beyond expectations to achieve outstanding results
Leadership and a track record of developing and growing people
Organised and able to ensure your team delivers timely, high quality results
Management experience and the confidence to set high expectations
Passion for technology evidenced by personal projects and initiatives
The work ethic and confidence to shine alongside motivated colleagues
Professional written and spoken English with excellent presentation skills
Experience with Linux (Debian or Ubuntu preferred)
Excellent interpersonal skills, curiosity, flexibility, and accountability
Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
Professional manner interacting with colleagues, partners, and community
Thoughtfulness and self-motivation
Result-oriented, with a personal drive to meet commitments
Ability to travel internationally twice a year, for company events up to two weeks long
Nice-to-have skills we value
Computer architecture knowledge of x86, ARM, and RISC-V
Desktop and IoT hardware peripherals knowledge (cameras, wireless connectivity, etc.)
Open source community engagement and leadership
Ops and system administration experience
Performance engineering and security experience
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
Location: North America
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
We’re looking for experienced engineers who have shipped applied AI systems to production and want to define what the agent-native future looks like. We are building intelligence into the core of Linear, enabling the product to orchestrate coding, proactively move work forward, and power-up every software team.
You’ll work closely with product and design to transform foundation models into structured, reliable workflows embedded deeply in the core of Linear. We care deeply about keeping Linear fast, intuitive, and opinionated—AI is no exception.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you'll do
- Build AI-powered product features that feel native, fast, and delightful to use
- Work with product and design to prototype and iterate on intelligent workflows and user interactions
- Design backend services to power natural language interfaces, smart suggestions, agentic workloads, and more
- Optimize prompts, fine-tune model behavior, and evaluate performance
- Help to guide our agent platform, allowing third parties to bring agents into the core Linear experience as teammates.
- Contribute to the architecture for AI-integration infrastructure that’s reliable and privacy-aware
What we're looking for
- 5+ years of experience building customer-facing products at a high-quality software company
- Strong React and TypeScript fundamentals, with experience across the full stack (Browser technologies, Node, GraphQL, PostgreSQL)
- Track record of driving complex, end-to-end features (not just incremental improvements and refactors) with visible impact on the product
- Product sensibility: you care about UX, speed, and polish, and you push back when something doesn't feel right
- Comfortable working without heavy PM overhead; you can help to shape the problem, not just implement a solution
- High ownership mentality: self-directed, full-lifecycle builder who takes a feature from idea to shipped
- Thrives in a remote, async-first environment with a lean, high-output team
- Experience at a startup or a company with a genuinely high engineering bar
Our tech
This stack reflects the systems we build and operate. You’re not expected to have experience with everything listed, but you should be excited to work close to product, performance, and real-world scale.
- Agentic workload system utilizing temporal, operating at production scale
- Proprietary websocket data sync framework built for speed and offline support
- React, MobX, styled-components on the frontend
- Extensive, widely used, GraphQL API and SDK
- Node, Postgres, Temporal, and Redis in the backend
- Hosted on Google Cloud with k8s
- GitHub, Slack, Notion
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Learn how we think and work
- Read Me https://linear.app/readme a story about our mission
- Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post
- Crafting quality that endures https://www.youtube.com/watch?v=pCil7YNhNCU Config keynote by our Co-founder & CEO, Karri Saarinen
- How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team
- Scaling our real-time sync engine https://linear.app/blog/scaling-the-linear-sync-engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite
- First Round Capital: The Unsung Ingredient: Taste https://review.firstround.com/stripe-square-linear-product-taste/
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Location: United Kingdom
Workplace: remote
About Welo Data
Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai
Are you detail-oriented and curious about tech?
Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.
By joining our talent community, you'll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.
Note: This is not an active job opening. By applying, you'll join our global contributor network. When a project aligns with your skills and availability, we'll reach out with all the details, including scope, timeline, and compensation.
What You'll Need
- Native or near-native fluency in English
- Based in: United Kingdom
- Comfortable with digital tools
- Detail-oriented and curious
Why Join Us?
🚀 Limitless You – Work when and where you want, with room to grow
🤖 Limitless AI – Contribute to smarter, more inclusive AI
🌎 Be Part of Us – Join a global, supportive community
About our projects:
Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.
Depending on your skills, you might:
📝 Annotate or label text, images, or audio to train AI systems
🔍 Evaluate search results, ads, or chatbot responses for quality and relevance
💬 Create and test prompts to improve large language models (LLMs)
🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy
Some projects last a few days; others may extend over several weeks. Before each one, you'll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.
How to Apply?
Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.
📬 Questions?
If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com .
