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описание
Synthires provides evaluation opportunities focused on comparing AI-generated web interfaces and code with real-world reference websites.
задачи
Render a reference webpage and two AI-generated implementations at a 1920×1080 viewport and evaluate which version most accurately reproduces the reference;
Compare visual fidelity across layout, spacing, typography, colors, borders, images, layering, and overflow behavior;
Review source code and assess HTML structure, CSS architecture, responsiveness, maintainability, and implementation quality;
Identify technical shortcuts such as excessive hardcoded positioning, unnecessary absolute positioning, poorly structured markup, or image-based recreations;
Test responsive behavior across different viewport sizes and identify layout or usability defects;
Use browser Developer Tools to inspect elements, computed styles, DOM structure, and interactive states;
Provide specific, evidence-based written justifications explaining why one implementation is stronger than another;
Identify genuinely broken evaluation tasks while distinguishing them from tasks that are simply challenging.
требования
3–8 Years of professional web development experience, primarily in frontend or full-stack engineering;
Strong hands-on experience with HTML, CSS, JavaScript, responsive web development, and modern frontend engineering practices;
Deep understanding of semantic HTML, Flexbox, CSS Grid, media queries, and responsive layouts;
Ability to read and understand both modern and legacy web layouts, including float-based and table-based designs;
Strong proficiency with browser Developer Tools, including DOM inspection, computed styles, viewport testing, and interactive state debugging;
Comfortable working from the command line, including extracting archives, running local development servers, and troubleshooting asset paths;
Sufficient JavaScript knowledge to understand how scripts interact with the DOM and user interactions;
Strong professional written English and the ability to provide clear, detailed technical justifications;
Strong attention to detail and the ability to identify subtle visual and structural differences;
Desktop or laptop capable of displaying a 1920×1080 viewport;
Ability to run a local development environment and static web server;
Administrator access to your own computer for installing required development tools;
The role is intended for practicing web developers with strong frontend and UI implementation expertise;
Backend-only, ML/data-science-only, mobile-native-only, and DevOps-only backgrounds are generally not suitable for this evaluation work;
Nice to have: Prior experience with RLHF, preference labeling, AI model evaluation, structured code review, or human-feedback projects, pixel-perfect design-to-code experience including design systems, templates, or production web interfaces, knowledge of web accessibility including ARIA, semantic landmarks, and heading hierarchy, familiarity with common failure patterns in AI-generated frontend code, experience with web scraping, website archiving, DOM parsing, or complex crawled website structures, previous experience completing AI evaluation projects and working in multi-hour evaluation sessions.
условия
Freelance hourly contract;
Part-time employment;
Each evaluation unit typically takes 2–3 hours and is completed within a defined time window;
This is not microtask work and requires the ability to dedicate uninterrupted blocks of time to individual evaluations;
Independent contractor engagement;
Compensation is based on completed evaluation work in accordance with project requirements.