Machine Learning Engineer

Alignerr Corp.; Sydney; Remote; AUD 14,000 - 55,000; Part time

Job summary

Alignerr is seeking a Machine Learning Data Trainer to develop structured reasoning traces and high-quality training data for advanced AI systems. This fully remote, hourly contract role offers flexible scheduling and 10–40 hours per week, with autonomy to work asynchronously.

You will document step-by-step decision-making processes and tool usage, translating complex problems into well-defined actionable steps for AI training. Join a team shaping how modern AI reasoning is taught and evaluated.

Qualifications

• Background in machine learning, computer science, or a closely related technical field.
• Ability to break down complex problems into clear, structured steps.
• Strong analytical thinking and attention to detail.
• Clear written communication of technical reasoning.

Responsibilities

• Author clear, structured reasoning traces for complex technical tasks — showing how an expert would plan, reason, and act.
• Document step-by-step decision-making processes that capture real-world logic and tool use.
• Create high-quality training data that demonstrates reliable, grounded AI reasoning.
• Evaluate and iterate on your outputs to meet rigorous quality standards.
• Work independently and asynchronously — fully on your own schedule.

Skills

Machine Learning

Computer Science

Analytical thinking

Written communication

Independent work

Education

Related technical field

Tools

APIs

Coding assistants

AI tools

Job description

Machine Learning Engineer (AI Data Trainer)

What if your technical expertise could directly shape how the world's most advanced AI systems reason through complex problems? We're looking for Machine Learning Engineers to help train cutting-edge large language models — not by writing model code, but by doing something equally powerful: teaching AI how to think.

This is a fully remote, flexible contract role. You'll create structured reasoning traces that capture step-by-step planning, tool use, and decision-making — the kind of high-quality training data that makes the difference between an AI that guesses and one that genuinely reasons.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Author clear, structured reasoning traces for complex technical tasks — showing how an expert would plan, reason, and act
• Document step-by-step decision-making processes that capture real-world logic and tool use
• Create high-quality training data that demonstrates reliable, grounded AI reasoning
• Evaluate and iterate on your outputs to meet rigorous quality standards
• Work independently and asynchronously — fully on your own schedule

Who You Are

• Background in Machine Learning, Computer Science, or a closely related technical field
• Able to break down complex logical and technical problems into clear, structured steps
• Strong analytical thinker with a methodical, detail-oriented approach
• Confident written communicator — you can explain technical reasoning clearly and precisely
• Self-motivated and reliable when working independently without supervision

Nice to Have

• Prior experience with data annotation, data quality, or AI evaluation workflows
• Familiarity with how LLMs are trained or fine-tuned
• Experience working with APIs, coding assistants, or AI-powered tools
• Background in software engineering, data science, or applied research

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based work
• Get direct, hands-on exposure to how advanced LLMs are built and trained
• Make a tangible impact on AI systems used by millions of people worldwide
• Potential for ongoing work and contract extension as new projects launch