Machine Learning Engineer

Machine Learning Engineer (AI Training)
About The Role
What if your deep technical expertise could directly shape how the world's most advanced AI systems reason through complex problems? We're looking for Machine Learning Engineers to help train cutting-edge AI models — not by writing model code, but by demonstrating the kind of expert, structured thinking that makes AI genuinely reliable in the real world.
This is a fully remote, flexible contract role. You'll work with Alignerr, a team partnered with leading AI research labs, to produce high-quality reasoning traces and decision-making workflows that teach AI how to solve sophisticated technical challenges — step by step, tool by tool.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Construct precise, well-structured logical workflows that demonstrate expert reasoning for complex ML and engineering problems
Document sequential decision-making processes — how a skilled engineer strategizes, selects tools, and adapts when things go wrong
Generate rich training datasets that show AI models what proficient, real-world problem-solving actually looks like
Review and critically evaluate AI-generated reasoning steps, identifying gaps, errors, and areas for improvement
Work independently and asynchronously — on your own schedule, at your own pace
Who You Are
Professional background in Machine Learning, Software Engineering, or a related technical discipline
Exceptional ability to articulate complex reasoning processes in a clear, structured, and reproducible way
Strong critical thinking skills — you can spot flawed logic and know how to correct it
Comfortable working with technical tools and documenting their use systematically
Advanced degree (Master's or PhD) in a relevant field
Nice to Have
Prior experience with data annotation, data labeling, or AI evaluation pipelines
Familiarity with LLM capabilities, limitations, and training methodologies
Background in technical writing, research documentation, or knowledge engineering
Experience working across multiple ML domains — NLP, computer vision, reinforcement learning, etc.
Why Join Us
Work directly on projects with leading AI research labs pushing the frontier of what LLMs can do
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, intellectually stimulating work
Gain rare behind-the-scenes insight into how frontier AI models are trained and improved
Contribute to work that makes AI more reliable, capable, and trustworthy at scale
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes