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 make decisions? We're looking for Senior Machine Learning Experts to do something that matters: write the step-by-step reasoning traces that teach LLMs how to think through complex, real-world problems.
This isn't prompt engineering or data entry. This is high-level intellectual work — you'll be capturing the decision-making process of an expert mind and translating it into structured training data that makes AI smarter, more reliable, and more trustworthy at scale.
Fully remote, flexible hours, and meaningful work at the frontier of AI development.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Author complex, high-fidelity reasoning traces that document step-by-step planning, tool use, and decision-making for sophisticated technical tasks
Apply senior-level architectural insights to ensure traces reflect how an expert actually thinks — not just what the answer is
Design and implement data strategies that help LLMs navigate nuanced, real-world scenarios with greater reliability
Review and refine existing traces to ensure optimal structure, clarity, and logical coherence
Contribute to the development of training data that shapes how next-generation AI models reason under uncertainty
Who You Are
Deeply experienced in machine learning, AI systems, or a closely related technical field
Skilled at decomposing complex problems into clear, logical, well-documented steps — you think in structured processes
Familiar with LLM evaluation, fine-tuning, or training methodologies
A precise and articulate written communicator — you can explain your reasoning clearly and completely
Self-directed and reliable when working independently on challenging, open-ended tasks
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 reinforcement learning, chain-of-thought prompting, or agent-based systems
Experience reviewing or auditing ML pipelines for correctness and robustness
Why Join Us
Work at the absolute frontier of AI — your contributions directly influence how leading LLMs are trained
Collaborate with researchers and engineers working on some of the most advanced AI projects in the world
Fully remote and async — work on your own schedule, from anywhere
Freelance autonomy with consistent, intellectually stimulating work
Exposure to advanced LLM architectures and training methodologies you won't find anywhere else
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes