Live opening · Posted 7 days ago

Machine Learning Engineer

Alignerr · Sydney, New South Wales, Australia (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyAlignerr
LocationSydney, New South Wales, Australia (Remote)
Salary$50/hr - $70/hr
Work modeNo
SourceLinkedin
Listed7 days ago

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About the role

Description supplied by the original job listing.

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 through complex problems? We're looking for Machine Learning Engineers to help train cutting-edge large language models — not by writing model code, but by doing something equally powerful: teaching AI how to think.
This is a fully remote, flexible contract role. You'll create structured reasoning traces that capture step-by-step planning, tool use, and decision-making — the kind of high-quality training data that makes the difference between an AI that guesses and one that genuinely reasons.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Author clear, structured reasoning traces for complex technical tasks — showing how an expert would plan, reason, and act
Document step-by-step decision-making processes that capture real-world logic and tool use
Create high-quality training data that demonstrates reliable, grounded AI reasoning
Evaluate and iterate on your outputs to meet rigorous quality standards
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 break down complex logical and technical problems into clear, structured steps
Strong analytical thinker with a methodical, detail-oriented approach
Confident written communicator — you can explain technical reasoning clearly and precisely
Self-motivated and reliable when working independently without supervision
Nice to Have
Prior experience with data annotation, data quality, or AI evaluation workflows
Familiarity with how LLMs are trained or fine-tuned
Experience working with APIs, coding assistants, or AI-powered tools
Background in software engineering, data science, or applied research
Why Join Us
Work on cutting-edge AI projects alongside leading research labs
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, task-based work
Get direct, hands-on exposure to how advanced LLMs are built and trained
Make a tangible impact on AI systems used by millions of people worldwide
Potential for ongoing work and contract extension as new projects launch

Work arrangement
No

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