Senior Machine Learning Expert

About the Role

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, flexible 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.

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

What You'll Do

• 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 strong focus on model reasoning, evaluation, or training
• Skilled at decomposing complex technical problems into clear, 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
• Background in AI research, MLOps, or applied ML in production environments
• Experience designing or auditing training datasets for large-scale models

Why Join Us

• Work at the frontier of AI — your contributions directly shape how the world's most capable models reason and act
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact technical work
• Collaborate with a global team working alongside leading AI research labs
• Potential for ongoing work and contract extension as new projects launch