UI/UX Designer

Job Summary

The UI/UX Designer reviews, critiques, and optimizes digital user experiences and interface wireframes to train and evaluate AI design systems. Core daily duties include auditing AI-generated interface layouts and component structures, running comprehensive usability heuristic reviews, identifying subtle accessibility gaps or broken responsive layout reflows, and writing structured, institutional-grade technical breakdowns to train frontier LLMs in industry-standard product design practices.

Foundational Product Design & Interface Prerequisites

• Creative Portfolio Track Record: A strong professional portfolio demonstrating a solid background in user-centric web and mobile application design, complete with clear case studies showing problem-to-solution trajectories.
• Design Ecosystem Tooling: Expert, hands-on proficiency with modern visual design and prototyping tools, specifically Figma, Sketch, or Adobe XD.
• Methodological Design Literacy: Deep operational understanding of user experience (UX) research strategies, usability testing frameworks, user persona mapping, and iterative design loops.
• Communication Articulation: Exceptional written and verbal English communication skills, with a critical emphasis on breaking down abstract design decisions, visual hierarchies, and usability flaws clearly to technical and non-technical teams.
• Inclusive Layout Execution: Solid grasp of accessible, inclusive, and responsive design systems, ensuring alignment with global digital product layouts.
• Distributed Execution Mechanics: Organized, self-motivated, and proactive in solving design challenges independently within a remote-first workspace environment.

Preferred Technical Multipliers

• Data-Driven & AI Framework Exposure: Prior professional experience designing, evaluating, or contributing to artificial intelligence systems, machine learning applications, or data-heavy dashboard platforms.
• Specialized Interface Background: Familiarity with constructing training sandboxes or complex testing interfaces tailored specifically for machine learning model interaction loops.
• Fast-Paced Remote Adaptability: High comfort level collaborating across asynchronous channels with multi-disciplinary global software product teams.

Key Responsibilities

1. High-Fidelity Interface Evaluation & LLM Alignment

• Critically review, grade, and optimize digital user interfaces, app prototypes, and component design patterns generated by frontier AI models.
• Evaluate AI-generated design assets for layout consistency, hierarchy correctness, typography rhythm, state indicators (hover, active, disabled), and compliance with usability engineering principles.
• Construct clear, step-by-step logic breakdowns and structural layout refactorings to show AI models how to eliminate user friction, resolve layout clutter, or fix responsive grid breakage.
• Build advanced, multi-tiered wireframing and flow challenges containing deliberately injected design flaws or accessibility violations to stress-test the model’s automated self-healing and critique logic.

2. Experience Scaffolding & Usability Analysis

• Design, review, and critique intuitive user experiences and user flows across multiple simulated digital viewports to establish pristine baseline training assets.
• Create wireframes, low-to-high fidelity prototypes, and interaction architecture models to illustrate, evaluate, and test design concepts for AI training systems.
• Synthesize user feedback and performance metrics into concrete design iterations, adapting layout parameters rapidly to meet changing platform training rules.

3. Documentation & Accessibility Governance

• Document and communicate complex design system decisions, usability justifications, and interaction constraints clearly and concisely.
• Uphold strict compliance with industry design standards, responsive design frameworks, and universal accessibility benchmarks (such as WCAG guidelines).
• Actively participate in peer design reviews, contributing precise heuristic critiques to maintain high performance across the micro1 expert designer network.

Core Competencies & Design Knowledge Areas

• Usability Heuristic Diagnostics: Deep operational mastery of Jakob Nielsen's usability heuristics and human mental models applied directly to software interfaces.
• Design System Architecture: Total fluency in token management, component atomization, auto-layout parameters, and atomic design frameworks within Figma environments.
• Information Topology & Hierarchy: Advanced understanding of spatial distribution, visual weight alignment, scanning patterns (F & Z patterns), and cognitive chunking of data.
• Inclusive & Accessible Patterns: Practical capacity to analyze screen-reader compatibility, contrast validation metrics, hit-target optimization, and focus-state visibility.
• Articulating Design Intent: Strong technical writing habits, with the unique ability to convert abstract visual choices and spatial spacing systems into text-based logic that an AI can process.

Skills Required:

• Design / Art / Fashion / Media