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Alignerr

Seattle / Global

Machine Learning Engineer

Job Description

Machine Learning Engineer (AI Data Trainer)

About the Role

What if your expertise in machine learning could directly influence how the next generation of AI models reason, plan, and solve complex problems? We're looking for Machine Learning Engineers to help train cutting-edge AI by demonstrating exactly how a skilled technical mind approaches and executes sophisticated challenges - step by step.

This is a fully remote, flexible contract role built for experienced ML and engineering professionals. You won't be building models from scratch - you'll be teaching them how to think by producing the high-quality reasoning data they learn from.

Organization

: Alignerr

Type

: Hourly Contract

Location

: Remote

Commitment

: 10-40 hours/week

What You'll Do Construct precise, well-structured logical workflows that demonstrate expert-level problem-solving for complex technical challenges

Document sequential reasoning processes - how a problem is broken down, what tools are selected, and why decisions are made at each step

Generate high-quality training datasets that model proficient tool use, strategic thinking, and sound technical judgment

Audit and refine AI-generated reasoning traces, identifying gaps, errors, or flawed logic

Translate intricate technical processes into clear, structured formats that AI systems can learn from effectively

Who You Are Experienced in machine learning, software engineering, or a closely related technical discipline

Able to articulate complex reasoning and multi-step problem-solving processes clearly and precisely

A sharp critical thinker who can evaluate whether a chain of logic is sound - and improve it when it isn't

Detail-oriented and consistent, with a methodical approach to structured work

Comfortable working independently and asynchronously in a remote environment

Nice to Have Master's degree or PhD in Machine Learning, Computer Science, Engineering, or a related field

Prior experience with data annotation, data quality assurance, or AI evaluation workflows

Familiarity with large language models (LLMs) and how they are trained or fine-tuned

Background in technical writing, documentation, or instructional design

Why Join Us Work alongside leading AI research labs on genuinely frontier AI projects

Fully remote and flexible - structure your hours around your life, not the other way around

Freelance autonomy with access to meaningful, intellectually stimulating work

Build deep, practical insight into how the world's most advanced AI models are trained

Potential for ongoing work and contract extension as new projects launch

Apply Now

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