Machine Learning Engineer
Indexed description
This is a fully remote, flexible contract role built for experienced ML and engineering professionals. You won't be building models from scratch — you'll be teaching them how to think by producing the high-quality reasoning data they learn from.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Construct precise, well-structured logical workflows that demonstrate expert-level problem-solving for complex technical challenges
- Document sequential reasoning processes — how a problem is broken down, what tools are selected, and why decisions are made at each step
- Generate high-quality training datasets that model proficient tool use, strategic thinking, and sound technical judgment
- Audit and refine AI-generated reasoning traces, identifying gaps, errors, or flawed logic
- Translate intricate technical processes into clear, structured formats that AI systems can learn from effectively
- Experienced in machine learning, software engineering, or a closely related technical discipline
- Able to articulate complex reasoning and multi-step problem-solving processes clearly and precisely
- A sharp critical thinker who can evaluate whether a chain of logic is sound — and improve it when it isn't
- Detail-oriented and consistent, with a methodical approach to structured work
- Comfortable working independently and asynchronously in a remote environment
- Master's degree or PhD in Machine Learning, Computer Science, Engineering, or a related field
- Prior experience with data annotation, data quality assurance, or AI evaluation workflows
- Familiarity with large language models (LLMs) and how they are trained or fine-tuned
- Background in technical writing, documentation, or instructional design
- Work alongside leading AI research labs on genuinely frontier AI projects
- Fully remote and flexible — structure your hours around your life, not the other way around
- Freelance autonomy with access to meaningful, intellectually stimulating work
- Build deep, practical insight into how the world's most advanced AI models are trained
- Potential for ongoing work and contract extension as new projects launch
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