Remote JavaScript/TypeScript AI Training Specialist

Prolific; United States; Remote; USD 41,000 - 69,000; Full time

Job summary

Prolific is seeking a JavaScript Specialist for AI training to evaluate and refine AI-generated code. You will review JavaScript/TypeScript solutions, audit logic, and test scripts in Node.js or browser environments.

This is a remote role with paid tasks and flexible hours. Ideal candidates have strong JS/TS skills, deep understanding of modern language features, and the ability to spot defects, memory leaks, and security concerns in model-generated code.

Qualifications

• BS/MS/PhD in CS, SE, or related field.
• Professional experience building scalable web applications using JavaScript/TypeScript.
• Ability to solve LeetCode Medium–Hard problems in JavaScript.
• Deep knowledge of Event Loop, closures, prototypal inheritance, and async patterns (Promises, async/await).
• High standard for clean, modular, readable code per ES6+ standards.
• Attention to detect memory leaks or security flaws (e.g., XSS, prototype pollution).

Responsibilities

• Evaluate Code Accuracy: review AI-generated JavaScript/TypeScript code for correctness.
• Validate Logic & Reasoning: audit step-by-step explanations for algorithmic solutions.
• Conduct Execution Testing: run scripts in Node.js or browser consoles to verify behavior.
• Annotate Model Performance: identify inefficient solutions or deprecated syntax.
• Refine Technical Logic: provide feedback on frontend/backend architectural reasoning.

Skills

JavaScript proficiency

TypeScript proficiency

Problem solving

Code review

Attention to detail

Education

BS/MS/PhD in CS/SE or related

Tools

React

Node.js

Vue

Angular

Jest

Cypress

Webpack

Vite

Job description

Prolific is seeking a JavaScript Specialist for AI training to evaluate and refine AI-generated code. You will review JavaScript/TypeScript solutions, audit logic, and test scripts in Node.js or browser environments.

This is a remote role with paid tasks and flexible hours. Ideal candidates have strong JS/TS skills, deep understanding of modern language features, and the ability to spot defects, memory leaks, and security concerns in model-generated code.