Live opening · Posted 1 day ago

Senior Machine Learning Expert

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

The key details from the original listing.

Posted 1 day ago
CompanyAlignerr
LocationCambridge, England, United Kingdom (Remote)
Salary$60/hr - $80/hr
Work modeYes
SourceLinkedin
Listed1 day 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 influence how the next generation of AI systems reason, plan, and make decisions? We're looking for Senior Machine Learning Experts to help build the foundational training data that teaches large language models how to think — step by step, in real-world scenarios.
This is a fully remote, flexible contract role designed for experienced ML professionals who understand model architecture, reasoning pipelines, and what separates good AI outputs from great ones.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Author complex, high-fidelity reasoning traces that capture how an LLM should plan, use tools, and make decisions to solve real technical tasks
Design structured, step-by-step decision-making data that trains AI models to reason more reliably in production environments
Review and refine reasoning traces contributed by others, ensuring logical coherence, planning quality, and tool-use accuracy
Develop data strategies for navigating intricate, multi-step problem scenarios that push model capabilities forward
Apply senior-level architectural insight to validate that traces reflect sound, expert-level machine learning thinking
Who You Are
Experienced machine learning professional with a strong foundation in model reasoning, training pipelines, or AI systems design
Skilled at decomposing complex technical problems into clear, logical, well-documented steps
Familiar with how large language models are trained, evaluated, and improved
Detail-oriented — you notice when a reasoning chain breaks down or when a decision step is unclear or missing
Comfortable working independently and asynchronously, producing high-quality work without hand-holding
Nice to Have
Prior experience with data annotation, data quality assurance, or AI evaluation systems
Top-tier Kaggle competition results (Grandmaster or Master level), demonstrating elite model performance and feature engineering skills
Hands-on experience designing or auditing LLM evaluation frameworks
Background in AI safety, alignment research, or model interpretability
Why Join Us
Work on some of the most technically challenging AI training projects in the field, alongside leading research labs
Fully remote and asynchronous — work when and where it suits you, on your own schedule
Freelance autonomy with access to meaningful, senior-level technical work
Make a direct, lasting impact on how the world's most advanced AI models reason and act
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes

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