Machine Learning Engineer

Alignerr Corp.; India; Remote; INR 1,240,000 - 2,755,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Contract-based freelance work

Job summary

Alignerr is seeking a Machine Learning Engineer (AI Data Trainer) for a fully remote hourly contract. You will create structured reasoning data that teaches AI models to think more reliably and methodically, documenting planning, decision-making, and tool use for training purposes.

The role emphasizes independent work, flexibility, and high attention to detail while contributing to frontline AI research efforts and data-quality assurance.

Qualifications

• Background in Machine Learning, Computer Science, or a closely related technical field.
• Ability to articulate complex logical steps and technical reasoning in writing.
• Strong analytical thinker with a systematic, methodical approach to problem solving.
• Detail-oriented and consistent; you take pride in precision of your work.
• Self-motivated and reliable when working independently.

Responsibilities

• Author clear, structured reasoning traces showing how an expert approaches tasks.
• Document step-by-step planning, decision-making, and tool use for AI learning.
• Create high-quality training data demonstrating sound logic and real-world reasoning.
• Evaluate and refine AI decision-making workflows to improve model behavior.
• Work independently and asynchronously on your own schedule.

Skills

Machine Learning

Clear technical writing

Analytical thinking

Detail-oriented

Self-motivated

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