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Frontend TypeScript Developer

Alignerr

full-remoteseniorcontractfrontend Seattle, WA 104 days ago via LinkedIn

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Tags

TypeScriptReactNext.jsGenericsUtility TypesType-Safe APIsFrontend ArchitectureAsynchronous PatternsAI-Assisted DevelopmentCode Review

About the role

Role Overview

As a Frontend TypeScript Developer (AI Training), you will review and evaluate AI-generated frontend TypeScript code. Your feedback helps ensure the code meets standards for type safety, scalability, and modern frontend architecture.

Responsibilities

  • Review AI-generated TypeScript for strict type safety, correct generics, and appropriate use of interfaces and utility types.
  • Develop and/or assess complex, type-safe frontend components aligned with modern web architecture.
  • Provide clear technical commentary on architectural decisions and type-driven development approaches.
  • Identify and flag weaknesses in AI responses, especially around:
    • complex type definitions
    • asynchronous patterns
    • frontend edge cases
  • Work independently and asynchronously (on your own schedule).

Requirements

  • Deep expertise in TypeScript (static typing, generics, interfaces, utility types).
  • 3–5 years hands-on experience with modern frontend/full-stack frameworks such as React, Angular, Next.js, Nuxt.js, or Node.js.
  • Strong written communication skills to explain technical decisions clearly.
  • Detail-oriented and methodical; able to spot subtle issues and explain why.
  • Bachelor’s degree or higher in Computer Science (preferred).

Nice to Have

  • Experience with data annotation, model evaluation, or AI-assisted development workflows.
  • Familiarity with testing frameworks and type-safe API design patterns.
  • Experience with monorepos, design systems, or large-scale frontend architectures.

Contract & Logistics

  • Hourly contract, 10–40 hours/week.
  • Fully remote, flexible schedule.

About Alignerr

Alignerr works on AI training and AI-assisted development, partnering with leading AI research teams to improve how AI generates useful code. The focus is on evaluating and guiding AI-generated frontend code quality for real-world software engineering standards.

Scraped 6/11/2026