Domain Contributor - Evaluation Specialist

Confidential; United States; Remote; USD 34,000 - 96,000; Part time

Job summary

Zekai is seeking a Domain Contributor - Evaluation Specialist to support an internal project evaluating and improving advanced AI models. This remote contractor role focuses on designing domain-specific tasks, assessing outputs against primary sources, and documenting clear rationales.

You will work across history, law, finance, journalism, and tech, with flexible, pay-per-task compensation and expectations to submit tasks weekly. Start immediately for rapid onboarding.

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.

Responsibilities

• 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 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.

Skills

AI model training

Annotation

RLHF

Evaluation

Job description

Role Title: Domain Contributor - Evaluation Specialist

Role Type: Contractor (~15 hrs/week)

Location: Remote

our partner 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. Experts must submit a minimum of tasks per week.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24-48 hours of completing onboarding.

This is a 100% remote contract role, open to applicants worldwide in the countries the employer accepts.