Senior Machine Learning Expert

Alignerr Corp.; Remote; GBP 80,000 - 100,000; Part time

Job summary

A cutting-edge AI company is seeking a Senior Machine Learning Engineer - AI Data Trainer to work on advanced AI projects remotely. This role involves leading the creation of reasoning traces for AI models, mentoring team members, and designing strategies to enhance decision-making in complex scenarios. The ideal candidate has significant Machine Learning experience, strong problem-solving skills, and familiarity with LLM evaluation methodologies. This position offers competitive pay and flexible working hours.

Benefits

Competitive pay

Flexible remote work

Autonomy and global collaboration

Exposure to cutting-edge AI projects

Potential for contract extension

Qualifications

• Significant experience in Machine Learning or related technical fields.
• Proven ability to decompose complex problems into clear steps.
• Experience with advanced LLM evaluation methodologies.

Responsibilities

• Lead the authorship of high-fidelity reasoning traces.
• Mentor and review structured traces for documentation.
• Design data strategies for decision-making scenarios.

Skills

Machine Learning

Model reasoning

Problem decomposition

Advanced LLM methodologies

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.