Senior Machine Learning Engineer

Alignerr; Oxford; Remote; GBP 62,000 - 82,000; Full time

Benefits offered by this job

autonomy

flexibility

global collaboration

Job summary

Alignerr is seeking a Senior Machine Learning Engineer - AI Data Trainer to lead the authorship of complex, high-fidelity reasoning traces for sophisticated technical tasks. You will mentor and review structured traces to ensure optimal planning and tool-use documentation.

Join a remote freelance team working on cutting-edge AI projects, with exposure to advanced LLMs and evaluation methodologies, and the potential for contract extension.

Qualifications

• 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.

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.

Skills

Complex problem decomposition

LLM evaluation

Model reasoning

Job description

Senior Machine Learning Engineer - AI Data Trainer

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.