Location: Northern America and Europe.
Key Responsibilities:
- Evaluate the performance of AI chat and search tools under standardized, repeatable conditions.
- Apply detailed grading guidelines to accurately evaluate, rank, and annotate model responses, providing structured feedback that improves model performance.
- Write, refine, and stress-test prompts that probe model capabilities, ensuring coverage of diverse scenarios, edge cases, and user intents.
- Verify consistency and accuracy across evaluations, correcting discrepancies between ratings and the underlying rubric or guidelines.
- Utilize AI training tools and platforms to record findings and submit evaluation datasets in alignment with project standards and milestones.
- Collaborate with project trainers and contributors to resolve ambiguities, refine guidelines, and ensure evaluation consistency across the team.
- Participate in ongoing quality reviews, incorporating feedback to maintain rigorous training and annotation standards.
Required Skills and Qualifications:
- Exceptional attention to detail and accuracy in reviewing and evaluating AI-generated content.
- Strong written and verbal communication skills for effective collaboration, reporting, and timely updates on progress and challenges.
- Demonstrated time management and self-organization abilities for independent, remote project participation.
- Analytical and problem-solving mindset, with a proactive approach to resolving evaluation challenges.
Preferred Qualifications:
- Proven experience with AI model training, RLHF, data labeling, or similar data-centric evaluation projects.
- Familiarity with AI products and tools, including prompt engineering and understanding of model behaviors and limitations.
- Experience writing evaluation rubrics, grading model outputs, or reviewing AI responses for accuracy, helpfulness, and safety.
- Background in AI training, machine learning data preparation, or LLM-focused projects (strongly preferred).
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.
