Frontend / UI Engineer

Cashback24x7; India; A distancia; INR 10.348.000 - 12.935.000; A tiempo parcial

Descripción de la vacante

Cashback24x7 is seeking a Frontend / UI Engineer on a contractor basis. The role is fully remote with project-based work paid per approved task; pay is $80-100 per hour, with an average task taking around 8 hours.

You'll design and convert screenshots, diagrams, and videos into coding tasks with clear success criteria; provide reference implementations; review others' tasks for accuracy; ensure tasks are verifiable and unambiguous.

Formación

• A public GitHub profile with substantial, verifiable contributions.
• Strong frontend engineering: React, TypeScript, or similar, with experience shipping complex interfaces and interactions.
• Able to read, modify, debug and validate real application code.
• Experience with UI, graphics, SVG, or Canvas work is especially valuable.
• Product or UI designers with hands-on frontend implementation and public code contributions are also a fit.
• Strong written English, and the ability to explain expected behavior and reproducible verification steps.
• Prior data labeling, AI evaluation, or rubric-based review experience is a plus, not a requirement.

Responsabilidades

• Design multi-step coding tasks grounded in visual material: screenshots, UI mockups, diagrams, or screen recordings of real workflows.
• Specify which code and artifacts the task involves, and what the expected behavior is.
• Define objective success criteria - how someone would verify the task was completed correctly, not just plausibly.
• Provide a working reference implementation.
• Review tasks built by other contributors for technical accuracy and verifiability.
• Flag tasks that turn out to be ambiguous or ungradable rather than submitting them.

Conocimientos

Frontend engineering

React

TypeScript

Public GitHub

Read/Debug code

SVG/Canvas

English writing

Herramientas

GitHub

Descripción del empleo

Job Description

Role Title: Frontend / UI Engineer

Role Type: Contractor

Location: Remote

Opportunity Snapshot

• Pay: $80-100/hour equivalent (approximately $640-800 per task)
• Time per task: ~8 hours
• Engagement: Project-based - paid per approved task
• Location: Fully remote

You'll need:

• A public GitHub profile with substantial, verifiable contributions

Your tasks:

• Turn screenshots, diagrams and videos into challenging coding tasks with objective success criteria
• Design multi-step coding tasks grounded in visual material: screenshots, UI mockups, diagrams, or screen recordings of real workflows.
• Specify which code and artifacts the task involves, and what the expected behavior is.
• Define objective success criteria - how someone would verify the task was completed correctly, not just plausibly.
• Provide a working reference implementation.
• Review tasks built by other contributors for technical accuracy and verifiability.
• Flag tasks that turn out to be ambiguous or ungradable rather than submitting them.

What you'll do

Design multi-step coding tasks grounded in visual material: screenshots, UI mockups, diagrams, or screen recordings of real workflows. Specify which code and artifacts the task involves, and what the expected behavior is. Define objective success criteria - how someone would verify the task was completed correctly, not just plausibly. Provide a working reference implementation. Review tasks built by other contributors for technical accuracy and verifiability. Flag tasks that turn out to be ambiguous or ungradable rather than submitting them.

We're looking for

• A public GitHub profile with substantial, verifiable contributions - commits, merged PRs, or repositories you maintain. This is essential.
• Strong frontend engineering: React, TypeScript, or similar, with experience shipping complex interfaces and interactions.
• Able to read, modify, debug and validate real application code.
• Experience with UI, graphics, SVG, or Canvas work is especially valuable.
• Product or UI designers with hands-on frontend implementation and public code contributions are also a fit.
• Strong written English, and the ability to explain expected behavior and reproducible verification steps.
• Prior data labeling, AI evaluation, or rubric-based review experience is a plus, not a requirement.