Senior Machine Learning Expert

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 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