Senior Machine Learning Engineer

Senior Machine Learning Engineer (AI Data Trainer)
About The Role
What if your deep knowledge of machine learning could directly shape how the next generation of AI models reason, plan, and solve complex problems? We're looking for Senior Machine Learning Engineers to author high-fidelity reasoning traces that teach LLMs how to think — step by step, decision by decision.
This isn't prompt engineering or basic annotation. This is senior-level technical work that sits at the frontier of AI development. You'll be working directly with the kind of data that makes the difference between an AI that guesses and one that genuinely reasons.
This is a fully remote, flexible contract role — bring your expertise and work on your own terms.
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 LLMs should plan, use tools, and make decisions across sophisticated technical tasks
Break down intricate real-world problems into clear, logical, well-structured decision-making steps
Review and refine traces produced by other contributors, ensuring quality, consistency, and depth of reasoning
Design data strategies that help AI models navigate multi-step, ambiguous, and technically demanding scenarios
Contribute architectural-level insights to improve how models handle edge cases and failure modes
Work independently and asynchronously — on your own schedule
Who You Are
Experienced in machine learning, AI research, or a closely related technical field — you understand how models reason and where they go wrong
Skilled at decomposing hard problems into explicit, logical, and well-documented steps
Familiar with LLM evaluation methodologies, training pipelines, or RLHF-style feedback systems
A clear, precise technical writer who can make complex reasoning legible and structured
Detail-oriented and rigorous — you hold your own work to a high standard
Self-directed and dependable when working independently
Nice to Have
Prior experience with data annotation, data quality assurance, or evaluation system design
Top-tier Kaggle competition results (Grandmaster or Master level) — demonstrating deep expertise in model performance and feature engineering
Hands-on experience with agentic AI systems, tool-use frameworks, or chain-of-thought prompting
Background in AI safety, interpretability, or model alignment
Why Join Us
Work at the frontier of AI — your contributions directly shape how advanced language models reason and behave
Fully remote and flexible — work when and where it suits you, with no fixed hours
Freelance autonomy with access to meaningful, intellectually stimulating work
Collaborate with a global team contributing to some of the most consequential AI research happening today
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes