Machine Learning Engineer — AI Data Trainer About The Role What if your technical expertise could directly influence how the world's most advanced AI systems learn to reason, plan, and solve problems? We're looking for experienced Machine Learning Engineers to help train cutting-edge large language models — not by writing model code, but by doing something arguably more impactful: teaching AI how to think. This is a fully remote, flexible contract role built for senior technical minds who can articulate complex reasoning with precision.

You'll produce the high-quality training data that helps AI models move from generating plausible-sounding answers to executing genuinely reliable, step-by-step problem-solving in the real world.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week What You'll Do Design and document precise, structured reasoning logs that demonstrate how a skilled engineer approaches complex technical problems

Record sequential decision-making workflows — from problem framing through tool selection, execution, and verification

Generate high-quality training datasets that illustrate expert-level reasoning and tool use for AI models

Critically audit and refine AI-generated reasoning steps to ensure accuracy, logical consistency, and practical soundness

Work across a range of sophisticated ML and engineering challenges — independently,



on your own schedule Who You Are Skilled background in Machine Learning, Software Engineering, or a related technical discipline

Exceptional ability to articulate complex reasoning and multi-step problem-solving in clear, structured prose

Strong critical thinking skills — you can spot flawed logic, missing steps, or suboptimal approaches at a glance

Methodical and detail-oriented, with a high standard for technical accuracy

Master's Degree or PhD in a relevant field (or equivalent professional experience)

Self-motivated and comfortable working independently without close supervision Nice to Have Prior experience in data annotation, data quality assurance, or AI evaluation workflows

Familiarity with how large language models are trained, fine-tuned, or evaluated

Background in technical writing, documentation, or engineering education

Hands-on experience working with ML frameworks, APIs, or agentic AI systems Why Join Us Work on genuinely frontier AI projects alongside leading research labs and AI teams

Fully remote and asynchronous — work when and where you're most effective

Freelance autonomy with meaningful, intellectually engaging work

Get rare, behind-the-scenes exposure to how advanced LLMs are built and trained

Potential for ongoing work and contract extension as new projects launch

📌 Machine Learning Engineer (Delhi)
🏢 Alignerr
📍 Delhi