Machine Learning Engineer

Alignerr; Melbourne; A distancia; AUD 83.000 - 124.000; Jornada completa

Descripción de la vacante

Alignerr is seeking a Machine Learning Engineer (AI Data Trainer) for a remote, hourly contract role. You will help train advanced AI models by demonstrating how expert engineers think, and by producing clear, reproducible reasoning and datasets.

The role emphasizes rigorous documentation of decision processes, tool choices, and problem decomposition, with flexible hours and independence. Prior ML or software engineering experience is essential.

Formación

• Professional background in ML, SWE, or related technical discipline.
• Exceptional ability to explain complex technical reasoning in a clear and reproducible way.
• Strong critical thinking and structured problem-solving approach.

Responsabilidades

• Produce precise, well-structured reasoning logs showing how expert engineers approach problems.
• Document step-by-step decision-making workflows, including strategy, tool selection, and problem decomposition.
• Generate high-quality training datasets that demonstrate proficient problem-solving for AI models.
• Audit and refine AI-generated reasoning chains to identify gaps or inconsistencies.
• Collaborate across ML and engineering scenarios, translating expert intuition into structured examples.

Conocimientos

Machine Learning

Software Engineering

Technical writing

Problem solving

Educación

Master's degree or PhD in ML/CS

Descripción del empleo

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.

• 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