Senior Machine Learning Expert

Job Description

Senior Machine Learning Expert (AI Training)

About The Role

What if your deep expertise in machine learning could directly shape how the next generation of AI systems reasons, plans, and makes decisions We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces — the structured, step-by-step records of how an AI should think through complex technical problems.

This is frontier work. The data you create trains LLMs to reason more reliably in real-world scenarios, influencing how millions of people interact with AI. If you're a senior-level ML practitioner who loves breaking down hard problems and documenting rigorous thought processes, this role was built for you.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

• Author complex, high-fidelity reasoning traces that capture planning, tool use, and step-by-step decision-making for sophisticated ML tasks
• Design and document data strategies that help LLMs navigate intricate, real-world problem-solving scenarios
• Review and mentor structured traces to ensure optimal logical flow, clarity, and technical accuracy
• Apply senior-level architectural insights to validate and improve how AI models reason through multi-step challenges
• Work independently and asynchronously — entirely on your own schedule

• Experienced machine learning practitioner with significant hands-on expertise in ML, deep learning, or related technical fields
• Skilled at decomposing complex, ambiguous problems into clear, logical, and well-documented steps
• Familiar with LLM evaluation, training methodologies, and how large models reason and fail
• Detail-oriented with strong written communication — you can explain sophisticated concepts precisely and clearly
• Self-directed and comfortable producing high-quality work independently

• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Top-tier Kaggle competition results (Grandmaster or Master level) — demonstrating deep command of model performance and feature engineering
• Background in AI safety, RLHF, or reasoning-focused ML research
• Experience reviewing or producing technical documentation at a senior level

• Work on cutting-edge AI projects alongside world-leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure and purpose of meaningful, high-impact work
• Gain direct exposure to how frontier LLMs are trained and evaluated
• Potential for ongoing work and contract extension as new projects launch