Remote ML Data Trainer for LLM Reasoning

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

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.