Machine Learning Engineer - AI Data Trainer

Alignerr Corp.; Remote; GBP 125,000 - 150,000; Part time

Job summary

A leading AI research firm seeks a Machine Learning Engineer (AI Data Trainer) to create clear, structured reasoning traces for AI models. This role involves documenting logic and decision-making processes to enhance model training. Ideal candidates have a background in Machine Learning or Computer Science, strong analytical skills, and experience with data annotation. This position comes with competitive pay, flexible remote work, and the possibility of contract extension.

Benefits

Competitive pay

Flexible remote work

Freelance autonomy and flexibility

Collaboration on cutting-edge AI projects

Potential for contract extension

Qualifications

• Background in Machine Learning, Computer Science, or a related technical field.
• Ability to articulate complex logical steps and technical reasoning in writing.
• Strong analytical skills to evaluate and improve AI decision-making workflows.

Responsibilities

• Author clear, structured reasoning traces for complex technical tasks.
• Document step-by-step planning and decision-making processes.
• Create training data that demonstrates effective tool use in real-world logic.

Skills

Machine Learning

Analytical Skills

Education

Degree in Machine Learning, Computer Science or related field

Job description

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.

Project Overview

This project captures 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

• Company: Alignerr
• Position: Machine Learning Engineer – AI Data Trainer
• Type: Hourly Contract
• Compensation: $50–$70 /hour
• Location: Remote
• Commitment: 10–40 hours/week

What You’ll Do

• Author clear, structured reasoning traces for complex technical tasks.
• Document step‑by‑step planning and decision‑making processes.
• Create training data that demonstrates effective tool use in real‑world logic.

Requirements

• Background in Machine Learning, Computer Science, or a related technical field.
• Ability to articulate complex logical steps and technical reasoning in writing.
• Strong analytical skills to evaluate and improve AI decision‑making workflows.

Preferred

• Prior experience with data annotation, data quality, or evaluation systems.

Benefits

• 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.