Senior Machine Learning Engineer (AI Training) About The Role What if your deep knowledge of 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 Engineers to help train cutting-edge large language models — not by writing traditional code, but by crafting the structured reasoning traces that teach AI how to think step by step. Your architectural intuition and understanding of model behaviour will have a direct, lasting impact on how next-generation AI approaches real-world challenges.

This is a fully remote, adaptable contract role built for experienced ML professionals who want to work at the frontier of AI development — 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, use tools, and make decisions across sophisticated technical tasks

Design structured traces that capture multi-step problem decomposition, logical inference, and real-world decision-making strategies

Review and refine reasoning traces to ensure they reflect sound ML thinking and produce reliable, generalizable model behaviour

Develop data strategies that help LLMs navigate intricate, open-ended scenarios with greater consistency and accuracy





Contribute senior-level insights that elevate the overall quality and depth of training data Who You Are Experienced in machine learning, AI research, or a closely related technical field — you understand how models learn and where they go wrong

Skilled at breaking down complex problems into clear, logical, documented steps — the kind of thinking that makes great training data

Familiar with LLM evaluation, fine-tuning, or training methodologies A precise, structured communicator who can make sophisticated reasoning legible and reproducible

Self-directed and comfortable producing high-quality work independently Nice to Have Prior experience with data annotation, evaluation systems, or AI quality assurance

Top-tier Kaggle competition results (Grandmaster or Master level) — a strong signal of your model intuition and problem-solving depth

Hands-on experience working with or evaluating large language models directly

Background in AI safety, interpretability, or model alignment research Why Join Us Work at the frontier — collaborate with world-leading AI research labs on projects that are shaping the future of machine intelligence

Fully remote and flexible — work when and where you do your best thinking

Freelance autonomy with the substance of genuinely meaningful, high-impact work

Go beyond typical ML contracting — your expertise directly influences how frontier models reason and behave

Potential for ongoing work and contract extension as new projects launch

📌 Senior Machine Learning Engineer (Mumbai)
🏢 Alignerr
📍 Mumbai