Frontend TypeScript Engineer (AI Training)

Job summary

Review and evaluate AI-generated TypeScript code for type safety, interface design, and correct use of generics, and develop complex frontend components that demonstrate modern best practices. Provide technical feedback on architecture and type-driven development, identify errors or ambiguities in AI responses, and work independently on a flexible schedule.

Job details

About The Role What if your deep expertise in TypeScript could directly influence how AI writes code for millions of developers around the world? We're looking for experienced Frontend TypeScript Engineers in Toronto and across Canada to review, evaluate, and guide AI-generated code — helping cutting-edge AI models understand what truly type-safe, scalable, and modern web development looks like. This is a fully remote, flexible contract role. You'll work alongside leading AI research teams, applying your real-world frontend knowledge to tasks that have a lasting impact on how AI understands and produces TypeScript code. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Review AI-generated TypeScript code for strict type safety, accurate interface design, and correct generic usage Develop complex, type-safe frontend components that demonstrate best practices in modern web architecture Provide detailed technical commentary on architectural decisions and type-driven development strategies Identify and flag ambiguities or errors in AI responses related to complex type definitions and asynchronous frontend patterns Work independently and asynchronously — fully on your own schedule Who You Are Deep expertise in TypeScript — including static typing, generics, interfaces, and utility types 3–5 years of hands-on experience with modern frontend or full-stack frameworks such as React, Angular, Next.js, Nuxt.js, or Node.js Strong written and verbal communicator who can clearly articulate technical reasoning Naturally detail-oriented with a high standard for code quality and correctness Bachelor's degree or higher in Computer Science or a related field preferred Nice to Have Experience with data annotation, model evaluation, or AI training workflows Familiarity with full-stack TypeScript patterns and performance optimization Background in code review, technical writing, or engineering mentorship Why Join Us Work on cutting-edge AI projects alongside leading research labs Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, task-based work Make a direct, tangible impact on how AI understands and writes modern TypeScript Potential for ongoing work and contract extension as new projects launch

What you’ll do

Review and evaluate AI-generated TypeScript code for type safety, interface design, and correct use of generics, and develop complex frontend components that demonstrate modern best practices. Provide technical feedback on architecture and type-driven development, identify errors or ambiguities in AI responses, and work independently on a flexible schedule.

Requirements

Candidates should have deep TypeScript expertise and 3–5 years of experience with modern frontend or full-stack frameworks such as React, Angular, Next.js, Nuxt.js, or Node.js. Strong communication and attention to code quality are expected; a bachelor's degree or higher in Computer Science or a related field is preferred.

Benefits

• Flexible Schedule
• Remote Work
• Potential for Ongoing Work and Contract Extension

Listed skills

• TypeScript · Preferred
• React · Preferred
• Angular · Preferred
• Next.js · Preferred
• Node.js · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• TypeScript
• Frontend Development
• React
• Angular
• Next.js
• Nuxt.js
• Node.js
• Static Typing
• Generics
• Interfaces
• Utility Types
• Type-Safe Architecture
• Code Review
• Technical Writing
• Asynchronous Programming
• Performance Optimization

Job areas

• Software
• Technology
• Engineering
• Data & Analytics
• Science & Research

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