Machine Learning Engineer (AI Data Trainer)
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.
About The Role
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.
Position Details
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
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