Live opening · Posted 9 hours ago

Machine Learning Engineer

Alignerr · Canada (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 9 hours ago
CompanyAlignerr
LocationCanada (Remote)
Salary$50/hr - $70/hr
Work modeYes
SkillsMachine Learning
SourceLinkedin
ListedPosted 9 hours 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 Machine Learning Engineers to help build the training data that teaches AI to think like a seasoned expert. You'll document how intelligent systems should reason through complex technical challenges — capturing the logic, strategy, and decision-making that separates reliable AI from unreliable guesswork.
This is a fully remote, flexible contract role. If you have deep technical knowledge and a gift for breaking down complex thinking into clear, structured steps, this work was made for you.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Construct precise, well-organized reasoning logs for sophisticated technical and machine learning problems
Document step-by-step decision-making and problem-solving workflows that demonstrate expert-level thinking
Create high-quality training datasets that show AI models how to interact with tools and systems effectively
Audit and refine AI-generated reasoning chains for accuracy, logical coherence, and practical soundness
Translate complex technical methodologies into clear, structured formats that AI can learn from
Who You Are
Professional background in Machine Learning, Software Engineering, or a technical discipline
Exceptional ability to articulate intricate logical processes clearly and concisely
Strong critical thinking skills — you can spot flawed reasoning and know how to fix it
Comfortable working independently and managing your own workflow
Master's Degree or PhD in a relevant technical field
Nice to Have
Prior experience with data annotation, data labeling, or AI evaluation workflows
Familiarity with how large language models (LLMs) are trained or fine-tuned
Background in AI safety, RLHF, or model alignment research
Experience writing technical documentation or structured reasoning assessments
Why Join Us
Work directly with cutting-edge AI research teams and leading labs shaping the future of AI
Fully remote and async — work when and where it suits you
Freelance autonomy with access to meaningful, intellectually stimulating work
Get rare, behind-the-scenes exposure to how frontier LLMs are actually trained
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes

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