Senior Machine Learning Expert - Cambridge

Only for registered members Cambridge, United Kingdom

13 hours ago

Default job background
$60 - $80 (USD)
Senior Machine Learning Engineer - AI Data Trainer · Location: · Remote · About The Job · At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. · This project is about capturing how an LLM reasons and takes actions ...
Job description
Senior Machine Learning Engineer - AI Data Trainer



Location:

Remote

About The Job


At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.

This project is about capturing how an LLM reasons and takes actions step by step to solve real tasks.

Annotators write clear, structured traces that show planning, tool use, and decision making, creating data that trains models to reason more reliably in real world scenarios.


Organization:

Alignerr Position:
Senior Machine Learning Engineer - AI

Data Trainer Type:

Hourly Contract Compensation:
$60–$80 /hour

Location:

Remote
Commitment: 10–40 hours/week

What You'll Do

Lead the authorship of complex, high-fidelity reasoning traces for sophisticated technical tasks.
Mentor and review structured traces to ensure optimal planning and tool-use documentation.
Design data strategies that help LLMs navigate intricate real-world decision-making scenarios.

Requirements

Significant experience in Machine Learning or related technical fields, with a focus on model reasoning.
Proven ability to decompose complex problems into clear, logical, and documented steps.
Experience with advanced LLM evaluation and training methodologies.

Preferred

Prior experience with data annotation, data quality, or evaluation systems.
Top-tier Kaggle competition results (e.g., Grandmaster/Master level), demonstrating a deep understanding of model performance and feature engineering.

Why Join Us

Competitive pay and flexible remote work.
Collaborate with a team working on cutting-edge AI projects.
Exposure to advanced LLMs and how they're trained.

Freelance perks:
autonomy, flexibility, and global collaboration.
Potential for contract extension.

Application Process (Takes 15-20 min)

Submit your resume
Complete a short screening
Project matching and onboarding

PS:
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


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