AI Quality & Evaluation Lead

Role overview Lead the design of evaluation methods that show how well AI systems perform across accuracy, safety, consistency, and practical use. The role combines hands-on evaluation work with analytical leadership and communication with clients.

Responsibilities - Build evaluation frameworks for assessing model quality and behavior. - Turn stakeholder requirements into clear, measurable scoring rubrics. - Assess model accuracy, safety, consistency, and real-world performance. - Communicate findings and evaluation approaches to clients.

Requirements - Experience in AI evaluation, quality assurance, or applied research. - Ability to translate requirements into measurable criteria. - Strong analytical judgment and leadership. - Clear client-facing communication.

Benefits and work setup - Full-time role with a remote, global work setup.