Machine Learning Engineer

Alignerr Corp.; New Zealand; Remote; NZD 83,000 - 165,000; Full time

Job summary

Alignerr is seeking a Machine Learning Engineer (AI Data Trainer) to help train large language models by teaching them how to reason, plan, and solve real-world problems. This remote, hourly contract offers flexible hours and meaningful, high-impact technical work.

You will author detailed reasoning traces, capture step-by-step planning and tool use, produce high-quality training data, and evaluate AI decision-making workflows for logical consistency and accuracy.

Responsibilities

• Author detailed, structured reasoning traces that document how an expert would approach and solve complex technical tasks
• Capture step-by-step planning, tool use, and decision-making in a clear, reproducible format
• Produce high-quality training data that teaches LLMs to reason reliably in real-world scenarios
• Evaluate and refine AI decision-making workflows for logical consistency and accuracy
• Work independently and asynchronously — fully on your own schedule
• Background in Machine Learning, Computer Science, or a closely related technical field
• Able to articulate complex logical and technical reasoning clearly in writing
• Analytically sharp — you can evaluate a multi-step problem and identify where reasoning breaks down
• Detail-oriented and methodical in how you approach structured tasks
• Self-motivated and reliable when working independently without supervision
• Prior experience with data annotation, data labeling, or AI evaluation systems
• Familiarity with LLMs, prompt engineering, or AI training workflows
• Background in software engineering, ML research, or technical writing
• Experience designing or evaluating AI reasoning pipelines

Job description

Machine Learning Engineer (AI Data Trainer)

About The Role

What if your technical expertise could directly shape how the next generation of AI systems reason, plan, and solve real-world problems? We're looking for Machine Learning Engineers to help train advanced large language models — not by writing model code, but by doing something arguably more impactful: showing AI how to think.

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

What You'll Do

• Author detailed, structured reasoning traces that document how an expert would approach and solve complex technical tasks
• Capture step-by-step planning, tool use, and decision-making in a clear, reproducible format
• Produce high-quality training data that teaches LLMs to reason reliably in real-world scenarios
• Evaluate and refine AI decision-making workflows for logical consistency and accuracy
• 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 and technical reasoning clearly in writing
• Analytically sharp — you can evaluate a multi-step problem and identify where reasoning breaks down
• Detail-oriented and methodical in how you approach structured tasks
• Self-motivated and reliable when working independently without supervision

Nice to Have

• Prior experience with data annotation, data labeling, or AI evaluation systems
• Familiarity with LLMs, prompt engineering, or AI training workflows
• Background in software engineering, ML research, or technical writing
• Experience designing or evaluating AI reasoning pipelines

Why Join Us

• Work directly with teams building some of the world's most advanced AI models
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact technical work
• Gain rare, hands-on insight into how frontier LLMs are trained and evaluated
• Potential for ongoing work and contract extension as new projects launch