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 demonstrating how expert minds think through complex technical challenges — step by step.

This isn't prompt engineering or basic annotation. You'll be creating the gold-standard reasoning traces that teach AI models how to strategize, use tools effectively, and reach reliable conclusions in real-world environments. Your work will have a direct, measurable impact on the next generation of AI.

This is a fully remote, flexible contract role designed for senior technical professionals who can commit anywhere from 10 to 40 hours per week.

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

• Construct precise, structured reasoning logs that walk through sophisticated technical problems from start to finish
• Document sequential decision-making and strategic planning workflows that reflect genuine expert thinking
• Demonstrate proficient tool selection and use across complex, multi-step technical scenarios
• Generate high-quality training datasets that show AI models what reliable, rigorous problem-solving looks like
• Review and critically evaluate AI-generated reasoning steps — identifying gaps, errors, and opportunities for improvement
• Work independently and asynchronously on task-based assignments at your own pace
  
  

• Experienced professional with a strong background in Machine Learning, Software Engineering, or a related technical discipline
• Exceptional at breaking down complex logical processes and articulating them clearly in writing
• A structured, methodical thinker who naturally documents their reasoning — not just their conclusions
• Sharp critical eye — you can audit AI-generated reasoning and spot where it goes wrong
• Self-directed and reliable when working independently without close supervision
• Holds a Master's Degree or PhD in a relevant technical field
  
  

• Prior experience with data annotation, data quality evaluation, or AI/ML evaluation pipelines
• Familiarity with LLM behavior, RLHF, or AI alignment concepts
• Background in technical writing, research documentation, or systems design
• Experience working with AI tools, APIs, or coding assistants in a professional context
  
  

• Work directly alongside leading AI research labs on projects shaping the frontier of AI
• Fully remote and flexible — structure your work around your life, not the other way around
• Freelance autonomy with the depth and substance of high-impact technical work
• Gain rare, behind-the-scenes exposure to how state-of-the-art LLMs are trained and evaluated
• Contribute to AI systems that will influence how technology reasons and solves problems at scale
• Potential for ongoing work and contract extension as new projects launch