Live opening · Posted 7 days ago

Senior Machine Learning Expert

Alignerr · Toronto, ON (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyAlignerr
LocationToronto, ON (Remote)
Salary$60/hr - $80/hr
Work modeYes
SourceLinkedin
Listed7 days ago

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About the role

Description supplied by the original job listing.

Senior Machine Learning Expert (AI Training)
About The Role
What if your deep expertise in machine learning could directly shape how the world's most advanced AI systems learn to reason, plan, and make decisions? We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces — the structured, step-by-step thinking patterns that teach large language models how to tackle complex, real-world problems reliably.
This isn't annotation work. This is senior-level intellectual contribution to the frontier of AI development. You'll be working alongside world-class AI research teams, bringing your architectural instincts and problem-solving depth to some of the most impactful training data being produced today.
Fully remote. Flexible hours. Contract-based with room to grow.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Author complex, high-fidelity reasoning traces that document how an LLM should plan, use tools, and make decisions step by step
Decompose sophisticated technical tasks into clear, logical, well-structured decision paths
Design data strategies that reflect real-world problem-solving across advanced ML scenarios
Review and mentor the quality of structured traces to ensure rigorous planning and tool-use documentation
Contribute directly to training pipelines for frontier AI models used by leading research labs
Who You Are
Deeply experienced in machine learning, AI research, or a closely related technical field
A natural systems thinker — you can break down complex problems into clean, logical, documented steps
Familiar with LLM architectures, evaluation methodologies, and training pipelines
Precise and structured in your written communication — you explain your reasoning, not just your conclusions
Comfortable working independently and asynchronously in a remote environment
Nice to Have
Prior experience with data annotation, quality evaluation, or AI training data workflows
Top-tier Kaggle competition results (Grandmaster or Master level) — a strong signal of model performance intuition and feature engineering depth
Hands-on experience with RLHF, chain-of-thought prompting, or tool-augmented LLM evaluation
Background in AI safety, alignment research, or reasoning benchmarks
Why Join Us
Work directly on frontier AI projects alongside world-leading research labs
Fully remote and flexible — structure your hours around your life, not the other way around
Freelance autonomy with the intellectual depth of genuinely meaningful, senior-level work
Rare opportunity to influence how the next generation of AI systems actually think and reason
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes

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