Machine Learning Engineer

Alignerr Corp.; City of Melbourne; Remote; AUD 83,000 - 165,000; Full time

Job summary

Alignerr is seeking a Machine Learning Engineer (AI Data Trainer) to help train advanced AI models. The role focuses on producing precise reasoning logs and structured workflows that reflect expert problem-solving approaches.

Remote hourly contract for experienced engineers who can articulate complex reasoning with precision, contributing to high-quality AI training datasets and evaluation processes.

Qualifications

• Professional background in Machine Learning, Software Engineering, or related technical discipline.
• Ability to explain complex technical reasoning in a clear, organized, reproducible way.
• Strong critical thinking and logical evaluation skills.

Responsibilities

• Produce precise, well-structured reasoning logs showing how experts approach problems.
• Document step-by-step decision-making workflows, including strategy, tool selection, and decomposition.
• Generate high-quality training datasets demonstrating proficient problem-solving for AI models.
• Audit and refine AI-generated reasoning chains, identifying gaps or errors.
• Work across complex ML scenarios, translating expert intuition into learnable examples.

Skills

ML/DS background

Explain complex reasoning

Critical thinking

Structured problem solving

Independent work

Education

Master's degree in ML/CS

PhD in ML/CS

Job description

Machine Learning Engineer (AI Data Trainer)

About the role: What if your technical expertise could directly influence how the world's most advanced AI systems learn to reason, plan, and solve problems? We're looking for Machine Learning Engineers to help train cutting‑edge large language models — not by writing model code, but by demonstrating how expert technical minds actually think.

This is a fully remote, flexible contract role built for experienced engineers and researchers who can articulate complex reasoning with precision. Your work will form the backbone of training data that teaches AI to think like a specialist.

Job Details

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

What You'll Do

• Produce precise, well‑structured reasoning logs that capture how expert engineers approach sophisticated technical problems
• Document step‑by‑step decision‑making workflows — covering strategy, tool selection, and problem decomposition
• Generate high‑quality training datasets that demonstrate proficient, reliable problem‑solving for AI models
• Audit and refine AI‑generated reasoning chains, identifying gaps, errors, or logical inconsistencies
• Work across a range of complex ML and engineering scenarios, translating expert intuition into structured, learnable examples

Who You Are

• Professional background in Machine Learning, Software Engineering, or a related technical discipline
• Exceptional ability to explain complex technical reasoning in a clear, organized, and reproducible way
• Strong critical thinking skills — you can evaluate the quality of a logical argument and know when something doesn't hold up
• Methodical and detail‑oriented, with a consistent approach to structured problem‑solving
• Comfortable working independently and managing your own time across flexible hours

Nice to Have

• Master's Degree or PhD in Machine Learning, Computer Science, or a related field
• Prior experience with data annotation, evaluation systems, or AI quality assurance
• Familiarity with LLM behavior, prompt engineering, or AI reasoning frameworks
• Background in technical writing, research documentation, or instructional design

Why Join Us

• Work directly with teams building some of the most advanced AI models in the world
• Fully remote and asynchronous — work on your own schedule, from anywhere
• Freelance autonomy with the structure of meaningful, high‑impact technical work
• Gain rare, hands‑on exposure to how frontier LLMs are trained and evaluated
• Potential for ongoing work and contract extension as new projects launch