Machine Learning Engineer
Posted Today by Alignerr
Negotiable
Undetermined
Remote
Oxford, England, United Kingdom
Summary: The Machine Learning Engineer (AI Data Trainer) role involves shaping AI systems by documenting reasoning and decision-making processes for large language models. This fully remote contract position requires technical expertise to create training data and evaluate AI outputs. Candidates will work independently, contributing to the development of reliable AI solutions. The role offers flexibility and the opportunity to engage in cutting-edge AI projects.
Key Responsibilities:
- Author clear, structured reasoning traces that document how an AI should plan and execute complex technical tasks
- Map out step-by-step decision-making processes — including tool use, logic branching, and problem-solving strategies
- Create high-quality training data that demonstrates reliable, grounded reasoning in real-world scenarios
- Evaluate and refine AI outputs to improve the quality and consistency of model decision-making
- Work independently and asynchronously — fully on your own schedule
Key Skills:
- Background in Machine Learning, Computer Science, or a closely related technical field
- Able to articulate complex logical and technical reasoning in clear, structured writing
- Strong analytical thinker who can identify gaps or errors in AI decision-making workflows
- Detail-oriented and consistent — you take pride in producing high-quality, precise work
- Self-motivated and comfortable working independently without close supervision
- Prior experience with data annotation, data quality assurance, or AI evaluation systems (nice to have)
- Familiarity with LLM architectures, prompt engineering, or RLHF workflows (nice to have)
- Background in software engineering, applied research, or technical writing (nice to have)
- Experience working with structured reasoning frameworks or chain-of-thought methodologies (nice to have)
Salary (Rate): £50.00/hr
City: Oxford
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Machine Learning Engineer (AI Data Trainer)
About The Role
What if your expertise in machine learning could directly shape how the next generation of AI systems reason, plan, and solve real-world problems? We're looking for Machine Learning Engineers to work at the frontier of AI development — capturing the step-by-step reasoning and decision-making processes that teach large language models to think more reliably. This is a fully remote, flexible contract role built for technical minds who can break down complex logic and communicate it with precision. You won't just observe how AI is trained — you'll be a core part of making it smarter.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Author clear, structured reasoning traces that document how an AI should plan and execute complex technical tasks
- Map out step-by-step decision-making processes — including tool use, logic branching, and problem-solving strategies
- Create high-quality training data that demonstrates reliable, grounded reasoning in real-world scenarios
- Evaluate and refine AI outputs to improve the quality and consistency of model decision-making
- Work independently and asynchronously — fully on your own schedule
Who You Are
- Background in Machine Learning, Computer Science, or a closely related technical field
- Able to articulate complex logical and technical reasoning in clear, structured writing
- Strong analytical thinker who can identify gaps or errors in AI decision-making workflows
- Detail-oriented and consistent — you take pride in producing high-quality, precise work
- Self-motivated and comfortable working independently without close supervision
Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation systems
- Familiarity with LLM architectures, prompt engineering, or RLHF workflows
- Background in software engineering, applied research, or technical writing
- Experience working with structured reasoning frameworks or chain-of-thought methodologies
Why Join Us
- Work directly on cutting-edge AI projects alongside leading research labs and AI teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, impactful technical work
- Get rare, hands-on exposure to how advanced LLMs are actually trained and improved
- Contribute to AI development that shapes how models reason across millions of real-world use cases
- Potential for ongoing work and contract extension as new projects launch