Frontend TypeScript Developer
Alignerr
full-remoteseniorcontractfrontend Seattle, WA 104 days ago via LinkedIn
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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