Machine Learning Engineer

Alignerr; Sydney; Remote; AUD 96,000 - 165,000; Full time

Job summary

Alignerr is seeking a Machine Learning Engineer to help train cutting-edge large language models by teaching AI how to reason. This remote, hourly contract centers on creating structured reasoning traces that capture planning, tool use, and decision-making to generate high-quality training data.

You will document decision paths, evaluate outputs against quality standards, and work independently on your own schedule.

Qualifications

• Background in ML/CS or related field.
• Ability to break down complex problems into clear steps.
• Strong analytical and written communication.

Responsibilities

• Author clear, structured reasoning traces showing planning, reasoning, and action.
• Document step-by-step decision-making processes capturing real-world logic and tool use.
• Create high-quality training data demonstrating grounded AI reasoning.
• Evaluate outputs against rigorous quality standards.
• Work independently and asynchronously on your own schedule.

Skills

Background in ML

Structured reasoning

Analytical thinking

Clear written communication

Independent and reliable

Tools

APIs

Coding assistants

AI-powered tools

Job description

Machine Learning Engineer (AI Data Trainer)

About The Role

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