FRONTEND CODE EVALUATION SPECIALIST - AI TRAINER

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Frontend Engineer Type: Contract Compensation: $90/hour Location: Remote Role Responsibilities • Render a reference page and two candidate replications at 1920×1080. Judge which is the closer reproduction, state by state. • Diff visual fidelity in detail: box model and spacing, typography (family, size, weight, line-height, letter-spacing), color and border treatment, image and asset handling, z-order, and overflow. • Read the source of both attempts and grade construction quality. Distinguish a replication that is genuinely correct from one that merely looks correct at one viewport. • Test responsiveness. Identify defects such as a nav bar that looks right at 1920px but collapses at 1400px. • Write specific, evidence-cited justifications for every preference. Provide detailed explanations like "B nests the article body in a single absolutely-positioned div, so the text overlaps the footer below 1600px, while A uses normal document flow." • Use the "this task is broken" escape hatch with judgment. Distinguish a task that genuinely cannot be completed from one that is merely hard. Qualifications Must-Have • 3–8 years of professional web development experience in frontend or full-stack work. • Fluency across web eras, including legacy layouts like <table> used for layout. • Command of hand-written HTML and CSS : semantic markup, flexbox, grid, media queries, and legacy float- and table-based layouts. • Browser DevTools as muscle memory. • Command-line comfort: unzipping an archive, standing up a static local server, and untangling a broken image reference. • Enough JavaScript to read a page's scripts and understand their DOM impact. • Professional written English for task justification. Preferred • Prior RLHF , preference-labeling, model-evaluation, or structured code-review work. • Pixel-perfect design-to-code experience. • Accessibility expertise ( ARIA , semantic landmarks, heading hierarchy). • Familiarity with how LLMs fail at code generation. • Web scraping, archiving, or DOM-parsing background. • More than one completed Mercor project and availability in contiguous multi-hour blocks. Application Process (Takes 20–30 mins to complete) • Upload resume • AI interview based on your resume • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor