Senior Machine Learning Expert
Posted 1 week ago by Alignerr
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The Senior Machine Learning Engineer - AI Data Trainer at Alignerr is responsible for leading the creation of high-fidelity reasoning traces for AI models, focusing on enhancing their decision-making capabilities. This remote position involves mentoring others in documentation practices and designing data strategies for complex real-world scenarios. The role requires significant experience in machine learning and advanced methodologies for evaluating and training large language models (LLMs). Candidates will benefit from competitive pay and the flexibility of remote work while collaborating on cutting-edge AI projects.
Key Responsibilities:
- 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.
Key Skills:
- 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.
- 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.
Salary (Rate): £60.00/hour
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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.