Alignerr
Senior Machine Learning Expert
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Senior Machine Learning Expert
Senior Machine Learning Expert (AI Training)
About The Role
What if your deep expertise in machine learning could directly determine how the next generation of AI systems reason through complex problems? We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces—structured, step-by-step thought processes that teach large language models (LLMs) how to plan, use tools, and make reliable decisions in the real world.
This is a fully remote, flexible contract role built for senior-level ML professionals who thrive on intellectually demanding work and want their expertise to leave a lasting mark on frontier AI.
Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
What You’ll Do
- Author complex, high-fidelity reasoning traces that capture how an LLM should:
- Plan, reason, and take action step by step across sophisticated technical tasks
- Design and document decision-making workflows that reflect:
- Real-world problem-solving, including tool use, multi-step planning, and error recovery
- Review and mentor reasoning trace quality to ensure:
- Logical consistency, clarity, and optimal structure
- Develop data strategies that help LLMs navigate:
- Intricate, ambiguous, and high-stakes scenarios reliably
- Apply your architectural knowledge of ML systems to produce training data that:
- Meaningfully improves model performance
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Who You Are
- Deeply experienced:
- In machine learning, AI research, or related technical fields
- Skilled in decomposing complex, multi-step problems into:
- Clear, structured, and logical reasoning chains
- Familiar with:
- How large language models (LLMs) are trained, evaluated, and improved
- Strong precision and methodical thinking:
- You consider edge cases and failure modes
- Excellent technical writing skills:
- Can document reasoning in a clear, structured format
- Self-directed with comfort working independently
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Nice to Have
- Prior experience with:
- Data annotation, data quality assurance, or model evaluation pipelines
- Top-tier Kaggle competition results (Grandmaster or Master level), demonstrating:
- Advanced understanding of model performance and feature engineering
- Hands-on experience with:
- Designing/evaluating: LLM benchmarks, RLHF datasets, or reasoning datasets
- Background in:
- AI safety, interpretability, or alignment research
Why Join Us
- Work directly with leading AI research labs on frontier model development
- Fully remote with a flexible schedule—work anywhere in the world
- Freelance autonomy with access to consequential AI work
- Gain rare hands-on exposure to training and improving cutting-edge LLMs
- Potential for ongoing work and contract extensions 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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