Alignerr
Seattle / Global
You have blocked notifications
Oops! You have blocked notifications. Click here for more info
You have blocked notifications, please check your browser settings.
You're currently subscribed to job notifications
Subscribe to notifications
You will no longer receive notifications
Seattle / Global
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
Seattle / Global
Bellevue / Global
Seattle / Global
Redmond / Global