Machine Learning Engineer

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

Benefits offered by this job

Competitive pay

Flexible remote work

Global collaboration

Autonomy

Job summary

Alignerr Corp. is seeking a Machine Learning Engineer - AI Data Trainer to capture how an LLM reasons and acts step-by-step, producing structured traces for model training.

You will author clear reasoning traces, document planning and decision-making processes, and create training data demonstrating effective tool use in real-world logic. This remote hourly contract offers 10–40 hours per week and flexible collaboration with a global team.

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

Technical writing

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.