Machine Learning Engineer

Alignerr Corp.; Auckland; Remote; NZD 122,000 - 171,000; Part time

Benefits offered by this job

Autonomy

Flexibility

Global collaboration

Job summary

Alignerr is seeking a Machine Learning Engineer - AI Data Trainer for remote, hourly work. You will write clear, structured traces showing planning, tool use, and decision making to help train models to reason more reliably.

You’ll document step-by-step reasoning and create training data that demonstrates effective tool use in real-world tasks. Flexible hours: 10–40 hours per week, with freelance perks and global collaboration.

Qualifications

• Degree in machine learning, CS, or related field.
• Ability to articulate complex logical steps in writing.
• Strong analytical skills for AI decision-making workflows.

Responsibilities

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

Skills

ML/CS background

Write clear reasoning

Analytical thinking

Job description

• Location: Remote

Machine Learning Engineer - AI Data Trainer

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.