Project Overview We are sourcing independent Search Engine Evaluation Specialists to provide their expertise for an AI benchmark evaluation project.
Senior Machine Learning Expert
Remote (Global)
$60 – $80/hr
May 25, 2026
Job description
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 — the structured, step-by-step thought processes that teach large language models 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
Who You Are
- Deeply experienced in machine learning, AI research, or a closely related technical field
- Able to decompose complex, multi-step problems into clear, structured, and logical reasoning chains
- Familiar with how large language models are trained, evaluated, and improved
- Sharp, methodical, and precise — you think carefully about edge cases and failure modes
- A strong written communicator who can document technical reasoning in a clear, structured format
- Self-directed and comfortable working independently without close supervision
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 designing or 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 and flexible — work on your own schedule, from anywhere in the world
- Freelance autonomy with access to some of the most consequential AI work happening today
- Gain rare, hands-on exposure to how cutting-edge LLMs are trained and improved at the reasoning level
- Potential for ongoing work and contract extension as new projects launch
Apply now
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