Machine Learning Engineer - AI Data Trainer

Overview

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. This project focuses on capturing how an LLM reasons and takes actions step by step to solve real tasks. Annotators write clear, structured traces that show planning, tool use, and decision making to create data that trains models to reason more reliably in real-world scenarios. Location: Remote Organization: Alignerr Position: Machine Learning Engineer - AI Data Trainer Type: Hourly Contract Compensation: $50–$70 /hour Location: Remote Commitment: 10–40 hours/week What You’ll Do

Author clear, structured reasoning traces for complex technical tasks. Document step-by-step planning and decision-making processes. Create training data that demonstrates effective tool use in real-world logic. Requirements

Background in Machine Learning, Computer Science, or a related technical field. Ability to articulate complex logical steps and technical reasoning in writing. Strong analytical skills to evaluate and improve AI decision-making workflows. Preferred

Prior experience with data annotation, data quality, or evaluation systems. Why Join Us

Competitive pay and flexible remote work. Collaborate with a team working on cutting-edge AI projects. Exposure to advanced LLMs and how they’re trained. Freelance perks: autonomy, flexibility, and global collaboration. Potential for contract extension. Application Process

Submit your resume Complete a short screening Project matching and onboarding

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