TypeScript Engineer

As a TypeScript Engineer, you will work remotely on an hourly paid basis reviewing AI-generated TypeScript code snippets, design proposals, and technical explanations, as well as generating your own high-quality content and reference solutions. You will evaluate step-by-step reasoning and problem-solving, checking solutions for correctness, clarity, and adherence to the prompt; identify errors in logic, type modeling, or architectural thinking; fact-check technical information; craft clear explanations and model solutions that demonstrate correct approaches; and rate and compare multiple AI responses based on their reasoning quality and implementation soundness. This fully remote, hourly contractor position is with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world’s largest AI companies and foundation model labs. In this role, your TypeScript expertise directly helps improve the world’s premier AI models used by engineers and developers everywhere.

Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

Your profile

• 2+ years professional TypeScript experience.
• Expertise in TypeScript features, including advanced type manipulation, generics, interfaces, and utility types.
• Strong proficiency with a major frontend framework (e.g., React, Angular, or Vue.js) or backend runtime (e.g., Node.js with Express or NestJS).
• Solid understanding of object-oriented programming (OOP), functional programming concepts, and common software design patterns.
• Experience with Git and standard version control workflows (branching, merging, pull requests).
• Familiarity with modern build tools (e.g., Webpack, Vite, Babel).
• Minimum Bachelor’s degree in Computer Science or a closely related field.
• Minimum C1 English proficiency (written and spoken), with strong ability to follow detailed technical guidelines.
• Good to have: Merged PRs in TypeScript-based open-source projects.
• Good to have: Competitive programming experience, experience reviewing typed API layers, DTOs, or schema-driven designs, and previous exposure to AI data training or annotation projects.

Key responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.