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 — structured, step-by-step records of how an AI should think through complex tasks — that train large language models to reason more reliably and effectively.
This is a fully remote, flexible contract role built for senior ML professionals who want meaningful, intellectually stimulating work on the cutting edge of AI development. No office. No fixed hours. Just high-impact work at the frontier of 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, use tools, and make decisions across sophisticated technical tasks
Break down intricate real-world problems into clear, logical, well-documented steps that serve as training data for frontier AI models
Review and provide expert-level feedback on reasoning traces produced by other contributors to ensure quality and consistency
Design data strategies that help LLMs navigate multi-step decision-making scenarios more reliably
Apply your knowledge of advanced ML architectures and model behavior to produce traces that reflect genuine expert reasoning
Work independently and asynchronously — fully on your own schedule
Who You Are
Experienced machine learning practitioner with deep expertise in model reasoning, architecture, and evaluation
Able to decompose complex, ambiguous problems into clear, logical, and well-documented workflows
Comfortable working with advanced LLM evaluation and training methodologies
Naturally rigorous and detail-oriented — you care about getting the reasoning right, not just the answer
Strong written communicator who can articulate technical thinking in a clear, structured way
Self-directed and reliable when working independently without supervision
Nice to Have
Prior experience with data annotation, data quality assurance, or model evaluation systems
Top-tier Kaggle competition results (Grandmaster or Master level) demonstrating elite-level understanding of model performance and feature engineering
Background in AI safety, alignment research, or RLHF-adjacent workflows
Experience writing technical documentation, research notes, or structured decision logs
Why Join Us
Work directly with leading AI research labs and teams building frontier models
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, high-impact technical work
Contribute to AI development that shapes how the world's most advanced models reason and act
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes