Domain Contributor - Evaluation Specialist

About this role

Role Title: Domain Contributor - Evaluation Specialist Role Type: Contractor (~15 hrs/week) Location: Remote micro1 is engaging Domain Contributor - Evaluation Specialists to support an internal project evaluating and improving advanced AI models. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Flexible, pay-per-task work across history, law, finance, journalism, and tech, for experts with prior AI training experience. Scope of Work Design nuanced, domain-specific tasks that probe AI model limits and surface reasoning flaws. Author questions and scenarios demanding deep subject knowledge, beyond general understanding. Assess AI-generated outputs, validating accuracy against authoritative, primary sources in your area of expertise.

Document clear rationales for model shortcomings, specifying missed reasoning, source errors, or nuances. Apply detailed task guidelines and evaluation rubrics consistently to each submission. Submit completed deliverables independently on a rolling basis, meeting project requirements for written and verbal clarity. Preferred Qualifications Proven hands-on experience with AI model training, annotation, RLHF, or evaluation.

Deep expertise in a core domain: history, archival or library science, law (paralegal, legal academic, compliance), finance (equity research, PE/VC, forensic accounting), journalism, or technology/industry history. Advanced research skills with a track record of verifying complex claims against authoritative sources. Exceptional written and verbal communication skills to articulate findings and feedback. Demonstrated ability to precisely follow detailed instructions and evaluation frameworks.

Background in adversarial or “stomp the model” task design is advantageous. Graduate-level research, experience at a Fortune 100 company, or professional fluency in a non-English language a plus. Compensation Structure Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply.