Machine Learning Engineer - AI Data Trainer
Posted Today by Alignerr
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The Machine Learning Engineer - AI Data Trainer role at Alignerr involves creating structured reasoning traces to enhance AI model training. The position requires documenting complex decision-making processes and tool usage in real-world scenarios. This remote contract role offers flexible hours and competitive pay, focusing on collaboration with leading AI research teams. Candidates should have a background in machine learning or a related field, with strong analytical and writing skills.
Key Responsibilities:
- Author clear, structured reasoning traces for complex technical tasks.
- Document step-by-step planning and decision-making processes.
- Create training data that demonstrates effective tool use in real-world logic.
Key Skills:
- Background in Machine Learning, Computer Science, or a related technical field.
- Ability to articulate complex logical steps and technical reasoning in writing.
- Strong analytical skills to evaluate and improve AI decision-making workflows.
- Prior experience with data annotation, data quality, or evaluation systems (preferred).
Salary (Rate): £70.00/hour
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Location: Remote
About The Job
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. This project is about capturing how an LLM reasons and takes actions step by step to solve real tasks. Annotators write clear, structured traces that show planning, tool use, and decision making, creating data that trains models to reason more reliably in real world scenarios.
Organization : Alignerr
Position : Machine Learning Engineer - AI Data Trainer
Type : Hourly Contract
Compensation : $50–$70 /hour
Location : Remote
Commitment : 10–40 hours/week
What You’ll Do
- Author clear, structured reasoning traces for complex technical tasks.
- Document step-by-step planning and decision-making processes.
- Create training data that demonstrates effective tool use in real-world logic.
Requirements
- Background in Machine Learning, Computer Science, or a related technical field.
- Ability to articulate complex logical steps and technical reasoning in writing.
- Strong analytical skills to evaluate and improve AI decision-making workflows.
Preferred
- Prior experience with data annotation, data quality, or evaluation systems.
Why Join Us
- Competitive pay and flexible remote work.
- Collaborate with a team working on cutting-edge AI projects.
- Exposure to advanced LLMs and how they’re trained.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process (Takes 15-20 min)
- Submit your resume
- Complete a short screening
- Project matching and onboarding
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.