Machine Learning Engineer

Machine Learning Engineer (AI Data Trainer) About The Role What if your expertise in machine learning could directly shape how the next generation of AI models reason, plan, and solve real-world problems? We're looking for Machine Learning Engineers to help train cutting-edge AI by demonstrating how expert technical minds actually think — step by step, tool by tool, decision by decision.

This is a fully remote, flexible contract role built for experienced ML and engineering professionals who want to put their deep technical knowledge to work at the frontier of AI development.

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

What You'll Do

• Construct precise, well-structured reasoning logs that walk through sophisticated technical problems from start to finish
• Document sequential decision-making workflows — how you strategize, select tools, and adapt your approach
• Generate high-quality training data that shows AI models what expert-level problem-solving actually looks like
• Audit and refine AI-generated reasoning chains to identify gaps, errors, or logical inconsistencies
• Demonstrate proficient tool use across complex ML and engineering scenarios
• Work independently and asynchronously — fully on your own schedule

Who You Are

• Professional background in Machine Learning, Software Engineering, or a closely related technical discipline
• Exceptional ability to articulate complex reasoning and methodologies in a clear, structured way
• Strong critical thinking skills — you can evaluate a line of logic and spot exactly where it goes wrong
• Comfortable working independently on intellectually demanding, task-based assignments
• Master's Degree or PhD in a relevant technical field

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation workflows
• Familiarity with large language models (LLMs) and how they're trained or fine-tuned
• Background in technical writing, documentation, or instructional design
• Experience working across multiple ML frameworks or toolchains

Why Join Us

• Work directly with leading AI research labs on genuinely cutting-edge projects
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact technical work
• Rare inside access to how frontier LLMs are built and trained
• Potential for ongoing work and contract extension as new projects launch