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 reason, plan, and solve problems? We're looking for Senior Machine Learning Experts to do something uniquely impactful: teach AI how to think.
This project is about capturing the step-by-step reasoning of large language models — how they plan, use tools, and make decisions when tackling real, complex tasks. The data you create directly trains next-generation AI to reason more reliably and intelligently in the real world.
This is a fully remote, flexible contract role built for senior-level ML professionals who want to contribute to cutting-edge AI research on their own schedule.
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 and execute sophisticated technical tasks
Design and structure traces that clearly capture tool use, decision-making logic, and multi-step problem solving
Review and mentor reasoning trace quality — ensuring clarity, logical rigor, and alignment with model training goals
Develop data strategies that help LLMs navigate intricate, real-world scenarios with greater reliability
Apply your architectural knowledge of ML systems to produce training data that meaningfully improves model performance
Work independently and asynchronously — fully on your own schedule
Who You Are
Experienced ML professional with a strong background in model reasoning, training methodologies, or related technical fields
Skilled at decomposing complex, multi-step problems into clear, logical, and well-documented sequences
Deep familiarity with how large language models work — including evaluation, fine-tuning, and training pipelines
Naturally rigorous and detail-oriented — you hold your work to a high standard
Comfortable working independently on structured, task-based assignments
Strong written communicator who can explain technical reasoning clearly
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 model understanding and feature engineering
Experience contributing to LLM pre-training, RLHF, or instruction-tuning workflows
Background in AI safety, alignment research, or model interpretability
Why Join Us
Work on some of the most consequential AI research happening right now — alongside leading labs and research teams
Fully remote and flexible — work when and where you do your best thinking
Freelance autonomy: set your own hours, choose your workload, and collaborate globally
Rare opportunity to directly influence how advanced AI systems reason and make decisions
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes