Live opening · Posted 9 hours ago

Senior Machine Learning Expert

Alignerr · London, England, United Kingdom (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 9 hours ago
CompanyAlignerr
LocationLondon, England, United Kingdom (Remote)
Salary$60/hr - $80/hr
Work modeYes
SkillsMachine Learning
SourceLinkedin
ListedPosted 9 hours 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 knowledge of machine learning could directly shape how the world's most advanced AI systems reason, plan, and make decisions? We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces — step-by-step documentation of how an AI should think through complex, real-world problems.
This is a fully remote, flexible contract role built for senior ML practitioners who want to work at the frontier of AI development. Your expertise won't just inform a model — it will become part of how it thinks.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Author complex, high-fidelity reasoning traces that capture step-by-step planning, tool use, and decision-making for sophisticated technical tasks
Design structured traces that demonstrate how an LLM should navigate intricate, real-world scenarios
Review and mentor trace quality to ensure optimal clarity, logical flow, and documentation of reasoning
Develop data strategies that expose LLMs to diverse and challenging decision-making contexts
Contribute directly to training pipelines that make AI models more reliable, capable, and trustworthy
Who You Are
Experienced in machine learning, AI research, or a closely related technical field — with a strong focus on model reasoning and evaluation
Skilled at decomposing complex problems into clear, logical, well-documented steps
Familiar with advanced LLM evaluation and training methodologies
Able to think both architecturally and granularly — seeing the big picture while sweating the details
Self-directed and comfortable producing high-quality work independently
Nice to Have
Prior experience with data annotation, data quality assurance, or evaluation systems
Top-tier Kaggle competition results (Grandmaster or Master level), demonstrating deep understanding of model performance and feature engineering
Hands-on experience with RLHF, chain-of-thought prompting, or similar training techniques
Background in AI safety, interpretability, or alignment research
Why Join Us
Work directly with teams building the most advanced AI models in the world
Fully remote and async — work when and where it suits you
Freelance autonomy with genuinely meaningful, high-impact work
Get rare, hands-on exposure to how frontier LLMs are trained and improved
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes

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