Responsibilities
• Develop complex, adversarial multi-turn conversations and task-based scenarios aligned with project specifications
• Author clear, precise evaluation rubrics to assess model responses
• Iteratively test conversations and tasks against frontier LLMs, escalating difficulty until quality threshold is achieved
• Deliver comprehensive task packages including transcripts, target behaviors, binary rubrics, and supporting rationale
• Validate LLM outputs and document model strengths and failure modes
• Maintain calibration with team leads and quality control contacts
• Contribute independently at a steady and consistent pace

Requirements
• Exceptional written English skills with clarity, precision, and strong structural organization
• Prior experience in AI human data environments (RLHF, SFT, evaluations, annotation, or prompt engineering)
• Deep familiarity with large language models and ability to identify common failure patterns
• Ability to work autonomously and execute complex specifications with minimal oversight
• Proven critical thinking and meticulous attention to detail
• Experience designing evaluation items or rubrics is advantageous
• Background in writing-intensive or analysis-centric fields (research, editorial, technical writing, or quality assurance) is a plus

How to Apply
Click "Apply" to be taken to the micro1 application. Compensation is output-based with minimum weekly submission requirements. No prior AI experience is required.