Machine Learning Engineer

Machine Learning Engineer (AI Data Trainer)

What if your deep technical expertise could directly shape how the world's most advanced AI models reason, plan, and solve problems? We're looking for Machine Learning Engineers to help train cutting-edge AI by producing high-quality reasoning data — the kind that teaches models to think like true experts.

This is a fully remote, flexible contract role built for experienced ML and engineering professionals who want to work on something that genuinely matters. You won't just be using AI — you'll be shaping how it thinks.

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

• Produce precise, well-structured reasoning logs that walk through complex technical problems step by step
• Document sequential decision-making and strategic tool use in ways that AI models can learn from
• Generate high-quality training datasets that demonstrate expert-level problem-solving in real environments
• Review and refine AI-generated reasoning chains, catching gaps, errors, and logical inconsistencies
• Translate sophisticated ML concepts and workflows into clear, structured, reproducible documentation
• Work independently and asynchronously — fully on your own schedule

• Professional background in Machine Learning, Software Engineering, or a related technical discipline
• Able to explain complex reasoning processes with precision and clarity — not just what you did, but why
• Strong critical thinker who can audit multi-step reasoning and identify where logic breaks down
• Detail-oriented and methodical — you take quality seriously and it shows in your work
• Comfortable working independently on technically demanding tasks without hand-holding
• Master's Degree or PhD in a relevant technical field

• 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 AI safety, alignment research, or model evaluation
• Experience writing technical documentation, research notes, or structured problem-solving guides

• Work alongside world-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
• Gain rare, first‑hand exposure to how frontier LLMs are built and trained
• Contribute directly to AI systems that will influence how technology reasons for years to come
• Potential for ongoing work and contract extension as new projects launch