Frontend and Browser Automation Expert

Vraify; Deutschland; Remote; EUR 36,000 - 51,000; Full time

Job summary

Vraify is seeking contributors to help find how advanced coding agents break in frontend and browser automation. This is a remote, project-based role where you will build or solve realistic tasks, stress-test generated code, and provide reproducible evidence of failures.

You'll create, review, and validate tasks involving browser behavior, JavaScript and TypeScript apps, accessibility, testing, automation, and UI debugging.

Qualifications

• Demonstrated depth in browser behavior and frontend debugging.
• Strong experience with JavaScript and TypeScript applications.
• Knowledge of accessibility and automated testing practices.
• Ability to design and review tasks with clear evaluation criteria.
• Proven ability to communicate in clear written English.

Responsibilities

• Create, review, or solve realistic browser/task scenarios.
• Stress-test AI-generated code and agent traces.
• Document expected outcomes and failure modes clearly.
• Review peers' tasks for realism and reproducibility.

Skills

Browser behaviour

JavaScript

TypeScript

Accessibility

Testing

Automation

UI debugging

English communication

Tools

GitHub

Portfolio

CI/CD

Job description

Help us find where advanced coding agents break in frontend and browser automation. Build or solve realistic tasks, stress-test generated code, and explain failures with reproducible evidence. Remote project-based work can pay up to $35/hour, depending on the project and demonstrated expertise.

What you'll do:

• Create, solve, or review realistic tasks involving browser behaviour, JavaScript and TypeScript applications, accessibility, testing, automation, and UI debugging.
• Test AI-generated code and agent traces for correctness, edge cases, regressions, unsafe assumptions, and incomplete fixes.
• Write strong tests, reference patches, expected outcomes, and concise explanations of the failure mode.
• Review peer-authored tasks for realism, reproducibility, difficulty, and clean evaluation criteria.

What we look for:

• Strong practical depth in browser behaviour, JavaScript and TypeScript applications, accessibility, testing, automation, and UI debugging.
• Ability to navigate unfamiliar code or specifications and communicate technical decisions in clear written English.
• Verifiable evidence such as meaningful GitHub work, shipped software, a competition profile, technical writing, or a portfolio. Confidential industry work can be described in the application without exposing proprietary material.
• Prior AI-evaluation experience is useful but not required; strong engineering judgement and testing discipline matter more.