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Frontend TypeScript Engineer

Alignerr

full-remoteseniorcontractfrontendfullstack Seattle, WA Today via LinkedIn

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Tags

TypeScriptReactNext.jsNuxtGenericsUtility TypesCode ReviewAI TrainingModel EvaluationAsynchronous Patterns

About the role

Role overview

As a Senior Frontend TypeScript Engineer (AI Training), you’ll review and improve AI-generated TypeScript code. Your work helps AI models produce frontend code that is truly type-safe, scalable, and modern for real-world frameworks.

What you’ll do

  • Review AI-generated TypeScript for:
    • strict type safety
    • accurate interfaces
    • correct generics and utility types
  • Develop complex, type-safe frontend components using modern web architecture best practices
  • Provide detailed technical analysis of architectural decisions and type-driven development strategies
  • Identify and flag ambiguities/errors in AI responses, especially around:
    • complex type definitions
    • asynchronous patterns
    • frontend system design
  • Help AI models understand nuances of production-grade TypeScript across real frameworks

Requirements

  • Deep TypeScript expertise (generics, interfaces, utility types, static typing)
  • 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 to explain complex technical decisions clearly
  • Detail-oriented, methodical approach with high code-quality standards
  • Comfortable working independently and asynchronously
  • CS (or related) degree preferred, not required

Nice to have

  • Experience with data annotation, model evaluation, or AI training workflows
  • Familiarity with code review processes and technical documentation
  • Background in software architecture, design patterns, or developer tooling

Contract & logistics

  • Remote (fully remote), async, flexible schedule
  • 10–40 hours/week, hourly contract
  • Potential for ongoing work and contract extension

About Alignerr

Alignerr is a company working at the intersection of AI and developer workflows, focused on improving how AI systems generate and evaluate code. It supports AI training and model evaluation efforts to raise the standard for type-safe, scalable frontend development.

Scraped 7/29/2026