Machine Learning Engineer

Alignerr Corp.; Auckland; Remote; NZD 123,000 - 172,000; Part time

Benefits offered by this job

Flexible remote work

Global collaboration

Job summary

Alignerr is hiring a Machine Learning Engineer - AI Data Trainer for a remote hourly contract. You will write and document clear reasoning traces that show planning, tool use, and decision-making to train models to reason more reliably.

Responsibilities include authoring traces, documenting steps, and creating high-quality training data. This contract offers flexible hours (10–40 hours/week) and competitive hourly pay, with an emphasis on rigorous written communication and analytical thinking.

Qualifications

• Background in Machine Learning, Computer Science, or related field.
• Ability to articulate complex logical steps and technical reasoning in writing.
• Strong analytical skills to evaluate 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 showcasing effective tool use in real-world logic.

Skills

Machine learning knowledge

Technical writing

Analytical skills

Education

Background in Machine Learning or CS

Job description

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: 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.

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.