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

Work arrangement
No