Alignerr
Machine Learning Engineer
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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
- Problem-solving strategies
- Create high-quality training data that demonstrates reliable, grounded reasoning in real-world scenarios
- Evaluate and refine AI outputs to improve quality and consistency of model decision-making
- Work independently and asynchronously—fully on your own schedule
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Who You Are
- A background in Machine Learning, Computer Science, or a closely related technical field
- Ability 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; 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
- AI evaluation systems
- Familiarity with:
- LLM architectures
- Prompt engineering
- RLHF workflows
- Background in:
- Software engineering
- Applied research
- Technical writing
- Experience working with:
- Structured reasoning frameworks
- Chain-of-thought methodologies
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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
- Gain 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
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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