FrontEnd Software Engineer (Remote)

FrontEnd Software Engineer (Remote)

Posted 2 days ago by Keystone Recruitment

£60 Per hour
Undetermined
Remote
EMEA

Summary: The FrontEnd Software Engineer role is a remote position focused on creating high-quality training datasets for AI models, specifically in client-side web development. Candidates will leverage their front-end engineering skills to develop realistic prompts and evaluation criteria for various web applications and tools. This position offers part-time flexibility and requires a detail-oriented approach to ensure accuracy in testing UI behavior and logic. Ideal candidates will have a strong background in JavaScript and related technologies.

Key Responsibilities:

  • Write realistic, self-contained prompts for client-side web apps, games, and simulations
  • Develop precise, binary rubrics tagged by verification type
  • Ensure rubric criteria are strictly pass/fail and verifiable via screenshot and code inspection
  • Design tasks that test UI behavior, logic correctness, and edge-case handling

Key Skills:

  • 2+ years of experience in front-end or full-stack development (or technical content creation in web development)
  • Bachelor’s degree in Computer Science, Software Engineering, or related field (advanced degree preferred)
  • Strong proficiency in JavaScript, TypeScript, React, or vanilla JavaScript
  • Ability to write clear technical specifications and structured evaluation criteria
  • Detail-oriented mindset with a focus on verifiability and precision

Salary (Rate): £60 hourly

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role: FrontEnd Software Engineer (Remote)

Location: 100% Remote (Global)

Compensation: USD 70-80 per hour

Role Overview

One of our clients is hiring experienced Software Engineers to support high-impact research collaborations with leading AI labs. In this role, you will help build high-quality training datasets that improve AI model performance on real-world client-side web development tasks. This is a unique opportunity to apply your front-end engineering expertise to shape the next generation of intelligent systems.

About the Project

You will create high-quality “vibe coding” datasets designed to train models on client-side web development skills — including state management, interactivity, UI correctness, and robustness. Projects may include:

  • Interactive web applications
  • Browser-based games
  • Visualizations and simulations
  • Front-end tools and utilities

Key Responsibilities

  • Write realistic, self-contained prompts for client-side web apps, games, and simulations
  • Develop precise, binary rubrics tagged by verification type
  • Ensure rubric criteria are strictly pass/fail and verifiable via screenshot and code inspection
  • Design tasks that test UI behavior, logic correctness, and edge-case handling

Ideal Qualifications

  • 2+ years of experience in front-end or full-stack development (or technical content creation in web development)
  • Bachelor’s degree in Computer Science, Software Engineering, or related field (advanced degree preferred)
  • Strong proficiency in JavaScript, TypeScript, React, or vanilla JavaScript
  • Ability to write clear technical specifications and structured evaluation criteria
  • Detail-oriented mindset with a focus on verifiability and precision

Project Details

Start Date: Immediate

Duration: 1–2 months

Commitment: Part-time (15–25 hours/week, with flexibility up to 40 hours/week)

Fully remote and asynchronous

Application & Onboarding Process

Submit your resume

Complete a short AI-led interview (approximately 15 minutes)

Receive follow-up communication within a few days with next steps and onboarding details

Compensation & Contract Terms

$70–$80 per hour, based on experience

Weekly payments via supported payment platforms

Independent contractor classification

Project duration may be extended, shortened, or concluded based on performance and project needs

No access to confidential or proprietary information from any employer, client, or institution

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