AI Evaluation Specialist

About this role

Job Summary: 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.

Skills

Key responsibilities

• Design and implement self-contained evaluation tasks, including prompts, supporting files, and detailed grading rubrics to assess AI performance on practical computer-based workflows.
• Define clear, unambiguous written criteria for what constitutes successful and unsuccessful task completion across diverse administrative and workflow scenarios.
• Meticulously observe and document AI agent behaviors, producing crisp, precise summaries and reports in high-quality English.
• Iterate and refine evaluation tasks and rubrics based on feedback and team collaboration to ensure robust benchmarking methodologies.
• Work cross-functionally across a wide range of domains, adapting evaluation frameworks as project requirements evolve.
• Collaborate with the customer's team to share insights and help drive continuous improvement in AI evaluation techniques.
• Champion meticulousness, structured observation, and clear written communication throughout all project deliverables.

Required skills & qualifications

• Minimum 3 years of experience in roles emphasizing written precision and structured thinking—such as paralegal, executive assistant, junior analyst, librarian, document archival specialist, research assistant, technical writer, QA analyst, etc.
• Native or fluent in English writing, with a demonstrated ability to produce observations that are succinct, specific, and unambiguous.
• Proven skill in designing or applying rubric-based evaluation, grading against set criteria, or building structured scoring frameworks.
• High attention to detail and ability to notice subtle patterns or inconsistencies others might miss.
• Exceptional written and verbal communication skills, especially for documenting nuanced observations and feedback.
• Fluency in navigating computers, common SaaS tools, web browsers, file management, and document editing platforms.
• Strong self-direction, with the ability to independently take ownership of ambiguous or loosely defined projects.

Preferred qualifications

• Prior experience evaluating AI outputs or participating in technology-driven process improvement projects.
• Background in developing or refining evaluation rubrics or scoring methodologies.
• Comfort working across multiple domains and adapting quickly to new types of workflow challenges.