Machine Learning Engineer

Machine Learning Engineer (AI Data Trainer)
About The Role
What if your technical expertise could directly shape how the next generation of AI systems reason, plan, and solve real-world problems? We're looking for Machine Learning Engineers to help train cutting-edge large language models — not by writing model code, but by doing something arguably more impactful: showing AI how to think.
This is a fully remote, flexible contract role. You'll work with one of the leading AI research organizations to create structured reasoning traces that teach LLMs to plan, use tools, and make decisions the way a skilled engineer would.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Author clear, structured reasoning traces that document step-by-step planning and decision-making for complex technical tasks
Demonstrate effective tool use, problem decomposition, and logical reasoning in written form
Create high-quality training data that helps LLMs reason more reliably in real-world scenarios
Evaluate and improve AI decision-making workflows to ensure outputs are accurate and well-reasoned
Work independently and asynchronously — fully on your own schedule
Who You Are
Background in Machine Learning, Computer Science, or a related technical field
Able to articulate complex logical steps and technical reasoning clearly in writing
Strong analytical thinker who naturally breaks problems down into structured, traceable steps
Detail-oriented and consistent — you care about quality and precision
Comfortable working independently without close supervision
Nice to Have
Prior experience with data annotation, data labeling, or AI evaluation systems
Familiarity with LLMs, prompt engineering, or AI training workflows
Background in software engineering, research, or applied ML
Experience documenting technical processes or writing technical specifications
Why Join Us
Work on genuinely cutting-edge AI projects alongside world-leading research labs
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, task-based work
Make a direct, tangible impact on how advanced AI systems reason and behave
Potential for ongoing work and contract extension as new projects launch
Gain rare, hands-on exposure to how frontier LLMs are built and trained

Work arrangement
Yes