Machine Learning Engineer
Posted Today by Alignerr
Negotiable
Undetermined
Remote
United Kingdom
Summary: The Machine Learning Engineer (AI Data Trainer) role involves collaborating with AI research teams to create structured reasoning traces that enhance the learning capabilities of large language models. This fully remote position requires a strong background in machine learning or computer science, with a focus on articulating complex technical logic clearly. The role offers flexible hours and the opportunity to make a significant impact on AI development. Candidates will work independently on task-based assignments, contributing to the evaluation and improvement of AI decision-making workflows.
Key Responsibilities:
- Author clear, structured reasoning traces that capture how an AI should plan, decide, and act across complex technical tasks
- Document step-by-step decision-making processes — including tool use, logical branching, and error recovery
- Create high-quality training data that demonstrates effective, reliable problem-solving in real-world scenarios
- Evaluate and improve AI decision-making workflows for accuracy, coherence, and completeness
- Work independently and asynchronously on task-based assignments — fully on your own schedule
Key Skills:
- Strong background in Machine Learning, Computer Science, or a related technical field
- Able to break down complex reasoning into clear, structured, written steps
- Sharp analytical thinker who can evaluate and improve the logic behind AI outputs
- Detail-oriented and consistent — you care about getting the reasoning right
- Comfortable working independently without close supervision
- Prior experience with data annotation, data labeling, or AI evaluation systems (nice to have)
- Familiarity with LLM prompting, chain-of-thought reasoning, or agent frameworks (nice to have)
- Background in software engineering, applied ML, or AI research (nice to have)
- Experience with tool-augmented or agentic AI workflows (nice to have)
Salary (Rate): £50.00/hr
City: undetermined
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 technical expertise could directly shape how the world's most advanced AI systems learn to reason, plan, and solve real problems? We're looking for Machine Learning Engineers to work alongside leading AI research teams — creating the structured reasoning traces that teach large language models how to think step by step. This is a fully remote, flexible contract role. If you have a strong background in machine learning or computer science and can articulate complex technical logic with clarity, this is your opportunity to make a lasting impact on the future of AI.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Author clear, structured reasoning traces that capture how an AI should plan, decide, and act across complex technical tasks
- Document step-by-step decision-making processes — including tool use, logical branching, and error recovery
- Create high-quality training data that demonstrates effective, reliable problem-solving in real-world scenarios
- Evaluate and improve AI decision-making workflows for accuracy, coherence, and completeness
- Work independently and asynchronously on task-based assignments — fully on your own schedule
Who You Are
- Strong background in Machine Learning, Computer Science, or a related technical field
- Able to break down complex reasoning into clear, structured, written steps
- Sharp analytical thinker who can evaluate and improve the logic behind AI outputs
- Detail-oriented and consistent — you care about getting the reasoning right
- Comfortable working independently without close supervision
Nice to Have
- Prior experience with data annotation, data labeling, or AI evaluation systems
- Familiarity with LLM prompting, chain-of-thought reasoning, or agent frameworks
- Background in software engineering, applied ML, or AI research
- Experience with tool-augmented or agentic AI workflows
Why Join Us
- Work directly with cutting-edge LLMs and the research teams building them
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact technical work
- Build rare, hands-on experience in one of the most in-demand areas of AI development
- Potential for ongoing work and contract extension as new projects launch