Product/UX Professionals - AI Training - Colorado Springs, US

Prolific is building a global platform for collecting high-quality human data to support AI development. The company is seeking Product Designers and UX Specialists to evaluate and improve AI-generated designs, user experiences, accessibility, and product requirements as part of its Expert Network.

Responsibilities:

• Evaluate LLM-Generated Designs: assess AI-generated wireframes, user flows, and product requirements for usability and logical consistency
• Audit Accessibility & Inclusion: review model outputs to ensure they adhere to modern accessibility standards and inclusive design practices
• Fact-Check UX Principles: validate that model suggestions align with established design patterns and psychological principles (e.g., Fitts's Law, Gestalt principles)
• Annotate Design Logic: identify gaps in user journeys, redundant steps in a flow, or poor visual hierarchy in AI-proposed interfaces
• Refine Product Requirements: evaluate AI-generated PRDs (Product Requirement Documents) for clarity, feasibility, and user value

Requirements:

• A BS, MS, or PhD in Human-Computer Interaction (HCI), UX Design, Product Design, or a related field
• at least one year of experience designing digital products, conducting user research, or building design systems in a professional environment
• a deep understanding of usability heuristics, accessibility standards (WCAG), and user-centered design principles
• the ability to provide high-quality feedback on UI layouts, user flows, and information architecture
• experience balancing user needs with business goals and technical constraints
• proficiency in explaining the "why" behind design decisions and critiquing AI-generated designs for functional and aesthetic quality
• advanced knowledge of Figma, Adobe Creative Suite, or Sketch
• experience with high-fidelity prototyping tools (Protopie, Framer) and handoff processes
• familiarity with tools like Maze, UserTesting, or Hotjar to validate design hypotheses
• proficiency with Jira, Linear, or Notion for documenting product lifecycles and specs