Alignerr
Machine Learning Engineer
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Machine Learning Engineer
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
Responsibilities
- Author clear, structured reasoning traces to 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
- Error recovery
- Create high-quality training data demonstrating effective, reliable problem-solving in real-world scenarios
- Evaluate and improve AI decision-making workflows for:
- Accuracy
- Coherence
- Completeness
- Work independently and asynchronously on task-based assignments, fully aligned to your schedule
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Requirements
- Strong background in Machine Learning, Computer Science, or a related technical field
- Ability to break down complex reasoning into clear, structured written steps
- Sharp analytical mind to evaluate and improve the logic behind AI outputs
- Detail-oriented with a commitment to consistency and accuracy
- Experience working independently without close supervision preferred
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Nice to Have:
- Prior experience with data annotation, data labeling, or AI evaluation systems
- Familiarity with:
- LLM prompting
- Chain-of-thought reasoning
- Agent frameworks
- Background in:
- Software engineering
- Applied ML
- AI research
- Experience with tool-augmented or agentic AI workflows
Benefits
- Work directly with cutting-edge LLMs and the research teams shaping their future
- Fully remote and flexible — set your own hours and location
- Freelance autonomy combined with meaningful, high-impact technical work
- Build rare, hands-on experience in one of the most in-demand AI fields
- Potential for ongoing contracts as new projects launch
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Jessica, London
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