Remote Frontend Engineer - AI Coding Agents Specialist

mercor

San Francisco (CA)

Híbrido

GBP 75.000 - 102.000

A tiempo parcial

14 días+
Generador de candidaturas

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Descripción de la vacante

Mercor, a remote-friendly contract role, is seeking a Frontend Engineer to work with frontier AI coding agents to complete and evaluate engineering tasks. You will build and review modern web interfaces, focusing on correctness, accessibility, and performance.

In this role, you will review model-generated frontend code, identify edge cases, compare outputs from multiple models, and apply sound engineering judgment to realistic frontend scenarios, collaborating with AI-assisted workflows.

Formación

  • 2+ years of professional frontend engineering experience.
  • Experience building modern web applications using React, TypeScript, JavaScript, or similar technologies.
  • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated frontend implementations, UI architecture, and performance optimizations.

Responsabilidades

  • Use frontier AI coding agents to complete and evaluate complex engineering tasks.
  • Review model-generated frontend code for correctness, quality, maintainability, accessibility, and performance.
  • Identify bugs, edge cases, and failure modes in model outputs.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic frontend engineering scenarios.

Conocimientos

Frontend experience
Code review
UI performance optimization

Herramientas

React
TypeScript
JavaScript
AI coding agents

Descripción del empleo

Mercor, a remote-friendly contract role, is seeking a Frontend Engineer to work with frontier AI coding agents to complete and evaluate engineering tasks. You will build and review modern web interfaces, focusing on correctness, accessibility, and performance.

In this role, you will review model-generated frontend code, identify edge cases, compare outputs from multiple models, and apply sound engineering judgment to realistic frontend scenarios, collaborating with AI-assisted workflows.

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