Senior Machine Learning Expert

Senior Machine Learning Expert (AI Training)
About The Role
What if your deep expertise in machine learning could directly determine how the next generation of AI systems reason, plan, and make decisions? We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces — the structured, step-by-step thinking records that teach large language models how to tackle complex, real-world problems with precision and reliability.
This is a fully remote, flexible contract role built for senior-level ML professionals who understand not just how models work, but how they should think.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Author complex, high-fidelity reasoning traces that capture planning, tool use, and step-by-step decision-making for sophisticated technical tasks
Design and document structured traces that demonstrate how an LLM should navigate intricate, multi-step real-world scenarios
Review and mentor reasoning trace quality — ensuring logical clarity, architectural soundness, and reliable model decision pathways
Develop data strategies that expose LLMs to nuanced edge cases and advanced problem-solving patterns
Apply your senior-level ML intuition to push the boundaries of how AI models reason and act
Who You Are
Experienced machine learning practitioner with deep knowledge of model reasoning, training methodologies, and LLM behavior
Skilled at decomposing complex, ambiguous problems into clear, logical, and well-documented steps
Familiar with advanced LLM evaluation techniques and what separates reliable model outputs from unreliable ones
A precise, structured thinker who can translate expert-level intuition into training-ready documentation
Self-motivated and comfortable working autonomously in a remote, async environment
Nice to Have
Prior experience with data annotation, data quality systems, or AI evaluation pipelines
Top-tier Kaggle competition results (Grandmaster or Master level) — demonstrating elite-level understanding of model performance and feature engineering
Background in AI research, NLP, or reinforcement learning from human feedback (RLHF)
Experience building or evaluating agentic AI systems
Why Join Us
Work directly with world-leading AI research labs on frontier model development
Fully remote and flexible — structure your hours around your life, not the other way around
Freelance autonomy with the depth and meaning of genuinely impactful work
Get rare, ground-level exposure to how cutting-edge LLMs are trained and evaluated
Collaborate with a global network of elite ML practitioners
Potential for ongoing work and contract extension as projects evolve

Work arrangement
Yes