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Machine Learning Engineer - AI Data Trainer

Alignerr
Department:Data Analysis
Type:REMOTE
Region:Australia
Location:Melbourne, Victoria, Australia
Experience:Entry level
Estimated Salary:A$104,000 - A$145,600
Skills:
MACHINE LEARNINGDATA ANNOTATIONDATA QUALITYEVALUATION SYSTEMSANALYTICALTECHNICAL WRITINGCOMPUTER SCIENCELLMAI MODELS
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Job Description

Posted on: January 26, 2026

  • Location: Remote

About The Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. This project is about 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, creating data that trains models to reason more reliably in real world scenarios. 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 (Takes 15-20 min)

  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on LinkedIn

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