Machine Learning Engineer

Machine Learning Engineer (AI Data Trainer)

About The Role

What if your technical expertise could directly shape how the world's most advanced AI systems reason, plan, and solve problems? We're looking for Machine Learning Engineers to help train cutting-edge AI models by doing something uniquely valuable: demonstrating how expert minds actually think.

This isn't a typical ML role. You won't be tuning hyperparameters or deploying pipelines. Instead, you'll be producing the high-quality reasoning traces and logical workflows that teach AI models how to approach complex technical challenges — step by step, decision by decision. Your work will directly influence how the next generation of LLMs behaves in the real world.

This is a fully remote, flexible contract role. Work on your own schedule, at your own pace.

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

What You'll Do

• Produce precise, structured logical workflows that demonstrate expert reasoning for sophisticated technical challenges
• Document step-by-step decision-making and problem-solving strategies in a clear, organized format
• Generate high-quality training data that illustrates how to effectively use tools, APIs, and reasoning frameworks
• Review and critically evaluate AI-generated reasoning steps — identifying gaps, errors, and areas for improvement
• Contribute to datasets that directly improve how LLMs handle real-world engineering and ML tasks
  
  

Who You Are

• Professionally experienced in Machine Learning, Software Engineering, or a closely related technical discipline
• Able to break down complex technical processes into clear, structured, step-by-step explanations
• A strong critical thinker who can audit and refine AI-generated reasoning with precision
• Comfortable working independently and delivering consistent, high-quality outputs
• Holds or is working toward a Master's Degree or PhD in a relevant field
  
  

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Familiarity with LLM behavior, prompt engineering, or RLHF workflows
• Background in technical writing, research documentation, or structured problem-solving methodologies
• Hands-on experience working with AI tools, agents, or automated reasoning systems
  
  

Why Join Us

• Work directly with teams building some of the most advanced AI models in the world
• Fully remote and flexible — structure your work around your life, not the other way around
• Freelance autonomy with the substance of genuinely meaningful, high-impact work
• Gain rare, inside exposure to how frontier LLMs are trained and evaluated
• Potential for ongoing work and contract extension as new AI training projects launch