Frontend Engineer (Remote)

Location: Remote (Work from Anywhere)
Job Type: Contract

Role Overview

We are hiring for one of our clients, seeking a Frontend Engineer to work on a contract basis. The project involves evaluating AI-generated frontend code by comparing it against reference web pages across multiple states and viewports. Candidates must have prior experience completing a Mercor engagement to qualify.

Responsibilities

• Download and locally render three zipped site trees: a reference page and two AI-generated attempts.
• Evaluate visual fidelity at 1920×1080, including box model, spacing, typography, colors, and asset handling across all interactive states.
• Assess code construction quality by analyzing source files to identify shortcuts like hardcoded pixels, absolute positioning, or undifferentiated div structures.
• Grade each attempt against the reference for structural correctness, responsiveness, and adherence to web standards.
• Document detailed feedback on deviations and inconsistencies in both visual output and underlying code.

Requirements

• Experience with local development environments and static servers is required; cloud-only or locked-down devices are not supported.
• Strong proficiency in inspecting and debugging frontend code, including CSS, HTML, and layout mechanics.
• Ability to evaluate visual design fidelity across multiple states and viewports at 1920×1080.
• Prior completion of at least one full Mercor engagement is mandatory.
• Attention to detail in assessing spacing, typography, color treatment, and asset rendering.
• Experience identifying layout shortcuts such as absolute positioning, inline styles, or non-semantic HTML structures.
• Familiarity with accessibility standards and responsive design principles.
• Ability to work in timed 2–3 hour units with sustained focus.

About the Opportunity

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the creation of high-quality datasets for AI model evaluation. The work directly informs the development of more accurate and reliable frontend generation systems.