What if your deep 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 Senior Machine Learning Experts to author high-fidelity reasoning traces that teach large language models how to think — step by step, decision by decision.
This is a fully remote, versatile contract role built for senior-level ML practitioners who understand model behavior at an architectural level and can translate that knowledge into structured, training-ready data.
• Author complex, high-fidelity reasoning traces that document how an LLM should plan, use tools, and make decisions across sophisticated real-world tasks
• Design and implement data strategies that help AI models navigate intricate, multi-step decision-making scenarios
• Review and mentor structured traces produced by other contributors, ensuring quality, clarity,
and logical rigor
• Apply senior-level architectural insights to ensure reasoning outputs reflect reliable, generalizable model behavior
• Work independently and asynchronously — fully on your own schedule
Who You Are
• Deeply experienced in machine learning, with a robust focus on model reasoning, evaluation, or training
• Skilled at decomposing complex technical problems into transparent, logical, well-documented steps
• Familiar with advanced LLM evaluation and training methodologies
• Comfortable producing structured written outputs that meet rigorous quality standards
• Self-directed and consistent when working independently without close supervision
Nice to Have
• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Top-tier Kaggle competition results (Grandmaster or Master level), demonstrating advanced model performance and feature engineering expertise
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