Remote ML Engineer — AI Reasoning Data Trainer

Alignerr Corp.

Sydney

Remote

AUD 14,000 - 55,000

Part time

15 hours ago
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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

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.

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