Senior Machine Learning Engineer (AI Training) About The Role What if your deep expertise in machine learning could directly influence how the next generation of AI systems reason, plan, and solve problems? We're looking for Senior Machine Learning Engineers to author high-fidelity reasoning traces — the structured, step-by-step thought processes that teach large language models how to think. This is a fully remote, flexible contract role built for senior-level ML professionals who understand model behavior from the inside out.

Your work won't just describe what AI does — it will shape how AI reasons.

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 multi-step decision-making for sophisticated technical tasks

Design and document structured traces that demonstrate how a model should reason through real-world scenarios — not just what the answer is, but how to get there

Review and quality-check traces produced by other contributors, ensuring clarity, logical soundness, and technical accuracy

Develop data strategies that help LLMs navigate ambiguous, multi-layered problems with reliable, consistent reasoning

Apply senior-level architectural insight to ensure traces reflect best practices in model decision-making and problem decomposition Who You Are Experienced in machine learning, AI research,



or a closely related technical field — you understand how models learn and where they fail

Skilled at decomposing complex problems into clear, documented, logical steps that others can follow and evaluate

Familiar with LLM training pipelines, evaluation methodologies, and the mechanics of how models develop reasoning capabilities A accurate, structured thinker who can translate expertise into high-quality written documentation

Self-directed and reliable — you produce consistent, high-quality work without hand-holding Nice to Have Prior experience with data annotation, data quality assurance, or AI evaluation systems

Top-tier Kaggle competition results (Grandmaster or Master level) demonstrating elite-level model understanding and performance optimization

Background in reinforcement learning, chain-of-thought prompting, or agentic AI systems

Experience working with or evaluating frontier LLMs Why Join Us Work directly with some of the world's leading AI research teams and labs on cutting-edge model development

Fully remote and flexible — structure your work around your life, not the other way around

Freelance autonomy with meaningful, intellectually stimulating work on problems that actually matter

Gain deep, hands-on exposure to how frontier LLMs are trained and evaluated

Potential for ongoing work and contract extension as new projects launch

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