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 world's most advanced AI systems think, plan, and solve problems? We're looking for Senior Machine Learning Experts to author the reasoning traces that teach LLMs how to reason step by step — turning your technical intuition into the training data that powers next-generation AI.
This is a fully remote, flexible contract role designed for experienced ML practitioners who understand how models make decisions and want to influence that process from the inside.
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 technical tasks
Break down intricate real-world problems into clear, structured, logical steps that models can learn from
Design and contribute to data strategies that help LLMs navigate multi-step decision-making scenarios reliably
Review and refine reasoning traces for quality, completeness, and alignment with best practices in model training
Apply your architectural and systems-level ML knowledge to ensure traces reflect how expert practitioners actually think
Who You Are
Experienced in machine learning, AI research, or a closely related technical field — you understand how models reason and where they fail
Skilled at decomposing hard problems into clear, documented, logical steps
Familiar with LLM evaluation methodologies, training pipelines, or RLHF-style workflows
Detail-oriented and rigorous — you care about getting things exactly right
Comfortable working independently and asynchronously in a remote environment
Nice to Have
Prior experience in data annotation, data quality, or AI evaluation systems
Top-tier Kaggle competition results (Grandmaster or Master level), demonstrating elite-level understanding of model performance and feature engineering
Background in NLP, reasoning systems, or agent-based model development
Experience writing technical documentation or structured problem-solving guides
Why Join Us
Work on some of the most technically challenging AI problems in the industry alongside leading research labs
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure and purpose of meaningful, high-impact work
Gain deep, hands-on exposure to how frontier LLMs are trained and evaluated
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes