PhD - AI trainer

Required Skills

Research design
Data analysis
Ethical reasoning

Job Description

Job Title: PhD - AI Trainer


Job Type: Full-time


Location: Remote


Job Summary:

Join our customer's team as a PhD - AI Trainer, leveraging your advanced expertise to shape the next generation of AI. In this impactful role, you will provide highly specialized, domain-level feedback to improve AI model performance using Reinforcement Learning from Human Feedback (RLHF). Your insights will enhance the accuracy, fairness, and usefulness of AI systems, creating a bridge between academic rigor and AI innovation.


Key Responsibilities:

  • Deliver expert, domain-specific evaluations on AI-generated outputs, ensuring accuracy and relevance across specialized fields.
  • Critically assess AI responses for clarity, ethical considerations, and contextual appropriateness.
  • Collaborate closely with researchers and engineers to refine AI models based on your feedback and findings.
  • Design and apply robust research methodologies to structure model training and evaluation.
  • Champion multidisciplinary input to foster stronger, more equitable, and capable AI systems.
  • Contribute to creating a knowledge hub that integrates wide-ranging academic insights into AI development.
  • Participate in flexible interview and selection processes tailored to your field of expertise.


Required Skills and Qualifications:

  • PhD in a relevant discipline: STEM (physics, biology, chemistry, engineering, computer science, mathematics); Social Sciences (psychology, sociology, economics, political science, anthropology); Humanities; Law & Policy; Medicine & Life Sciences; Business & Education; or Arts & Design.
  • Demonstrated excellence in research design, data analysis, and ethical reasoning within your domain.
  • Outstanding written and verbal communication skills, with the ability to convey complex concepts clearly.
  • Proven experience providing critical, constructive feedback in academic or technical contexts.
  • Ability to evaluate AI outputs with a high level of precision and cross-disciplinary awareness.
  • Comfort working independently and collaborating with interdisciplinary teams in a remote environment.


Preferred Qualifications:

  • Previous experience in AI model training or evaluation, especially RLHF.
  • Cross-domain research experience or demonstrated interest in interdisciplinary collaboration.
  • Passion for democratizing AI development by infusing diverse scholarly perspectives.
About micro1
micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.
Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI.

This job is currently closed and not accepting applications. Thank you for your interest!

Refer and Earn