Machine Learning Engineer

Alignerr Corp.; India; Remote; INR 827,000 - 1,929,000; Full time

Job summary

Alignerr is seeking a Machine Learning Engineer (AI Data Trainer) for a fully remote, hourly contract. You will craft structured reasoning data to help train large language models to think more reliably and document step-by-step planning, decision-making, and tool use for AI learning.

This role is remote with flexible hours (10–40 hours/week) and requires clear written communication, strong analytical thinking, and the ability to work independently on high-impact tasks.

Qualifications

• Background in Machine Learning, Computer Science, or a closely related technical field.
• Able to articulate complex logical steps and technical reasoning in writing.
• Strong analytical thinker with a systematic, methodical approach to problem-solving.

Responsibilities

• Author clear, structured reasoning traces that capture how an expert approaches and solves complex technical tasks.
• Document step-by-step planning, decision-making, and tool use in a way that AI models can learn from.
• Create high-quality training data that demonstrates sound logic, effective problem decomposition, and reliable real-world reasoning.
• Evaluate and refine AI decision-making workflows to improve model behavior.
• Work independently and asynchronously — fully on your own schedule.

Skills

Machine Learning

Technical writing

Analytical thinking

Independent work

Job description

Machine Learning Engineer (AI Data Trainer)

About The Role

What if your technical expertise could directly shape how the world's most advanced AI systems reason, plan, and solve problems? We're looking for Machine Learning Engineers to work on a high-impact project at the frontier of AI development — creating the structured reasoning data that teaches large language models to think more reliably in the real world.

Machine Learning Engineer (AI Data Trainer)

About The Role

What if your technical expertise could directly shape how the world's most advanced AI systems reason, plan, and solve problems? We're looking for Machine Learning Engineers to work on a high-impact project at the frontier of AI development — creating the structured reasoning data that teaches large language models to think more reliably in the real world.

This is a fully remote, flexible contract role built for technical minds who can think clearly, write precisely, and break complex problems into logical, explainable steps.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Author clear, structured reasoning traces that capture how an expert approaches and solves complex technical tasks
• Document step-by-step planning, decision-making, and tool use in a way that AI models can learn from
• Create high-quality training data that demonstrates sound logic, effective problem decomposition, and reliable real-world reasoning
• Evaluate and refine AI decision-making workflows to improve model behavior
• Work independently and asynchronously — fully on your own schedule

Who You Are

• Background in Machine Learning, Computer Science, or a closely related technical field
• Able to articulate complex logical steps and technical reasoning clearly in writing
• Strong analytical thinker with a systematic, methodical approach to problem-solving
• Detail-oriented and consistent — you take pride in the quality and precision of your work
• Self-motivated and reliable when working independently without supervision

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Familiarity with LLM behavior, prompt engineering, or AI training workflows
• Background in software engineering, applied ML, or research
• Experience documenting technical processes or writing structured technical content

Why Join Us

• Work directly with leading AI research labs on genuinely cutting-edge projects
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based work
• Gain rare, hands-on insight into how advanced LLMs are trained and improved
• Contribute to AI development that shapes how models reason across the real world
• Potential for ongoing work and contract extension as new projects launch