Live opening · Posted 1 day ago

Machine Learning Engineer

Alignerr · Seattle, WA (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyAlignerr
LocationSeattle, WA (Remote)
Salary$50/hr - $70/hr
Work modeYes
SourceLinkedin
Listed1 day 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 machine learning expertise could directly shape how the world's most advanced AI systems reason, plan, and solve problems? We're looking for experienced ML Engineers to help train cutting-edge AI models by demonstrating how expert technical thinking actually works — step by step, tool by tool, decision by decision.
This is a fully remote, flexible contract role built for technical professionals who can think deeply, communicate clearly, and translate complex problem-solving into structured, high-quality training data.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Produce precise, well-structured reasoning logs that walk through sophisticated technical challenges from start to finish
Document sequential decision-making workflows — capturing how an expert strategizes, selects tools, and adapts to new information
Generate high-quality training datasets that demonstrate proficient tool use, logical planning, and sound technical judgment
Review and refine AI-generated reasoning steps, identifying gaps, errors, or weak logic
Work independently and asynchronously — fully on your own schedule
Who You Are
Professionally experienced in machine learning, software engineering, or a related technical discipline
Exceptionally clear at explaining complex reasoning — you can turn intricate logic into structured, readable workflows
A rigorous critical thinker who can audit AI reasoning and spot where it falls short
Detail-oriented and consistent, with the discipline to document your thinking methodically
Comfortable working independently without hand-holding
Nice to Have
Master's Degree or PhD in a technical field
Prior experience with data annotation, data quality assurance, or AI evaluation systems
Familiarity with LLM behavior, prompt engineering, or model training pipelines
Background in technical writing, documentation, or research
Why Join Us
Work on genuinely frontier AI projects alongside world-leading research labs
Fully remote and flexible — structure your work around your life, not the other way around
Freelance autonomy with the substance of high-impact, technically meaningful work
Get rare, inside exposure to how advanced LLMs are built and trained
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes

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