JavaScript - Senior Developer - AI Training
$50 per hourProlific Academic
Role Description
We’re looking for JavaScript Experts to join our Expert Network to help train and evaluate cutting-edge AI models using real engineering expertise. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to train and evaluate powerful AI models.
Researchers looking for your skills tend to pay up to $50 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.
Qualifications
- Education: a BS, MS, or PhD in Computer Science, Software Engineering, or a closely related technical field.
- Professional Experience: professional experience building scalable web applications using JavaScript/TypeScript.
- Coding Proficiency: ability to solve LeetCode Medium to Hard-level problems in JavaScript independently.
- Deep Domain Knowledge: expert understanding of the Event Loop, closures, prototypical inheritance, and asynchronous patterns (Promises, async/await).
- Code Quality: a high standard for clean code, including modularity, readability, and adherence to modern ES6+ standards.
- Attention to Detail: ability to spot subtle logical flaws, memory leaks, or security vulnerabilities (e.g., XSS, prototype pollution) in model-generated code.
Requirements
- Evaluate Code Accuracy: review AI-generated JavaScript and TypeScript code for functional correctness and adherence to best practices.
- Validate Logic & Reasoning: audit the step-by-step explanations provided by AI for complex algorithmic solutions to ensure they are logically sound.
- Conduct Execution Testing: execute model-generated scripts in appropriate environments (Node.js or Browser consoles) to verify performance and output.
- Annotate Model Performance: identify areas where a model provides inefficient solutions, deprecated syntax, or hallucinated library methods.
- Refine Technical Logic: provide structured feedback on how models reason through frontend or backend architecture discussions.
Key Technologies
- Core Language: expert mastery of JavaScript (ES6+) and TypeScript.
- Frameworks: extensive experience with React, Node.js, Vue, or Angular.
- Testing & Tools: proficiency with Jest, Cypress, Webpack, and Vite.
- Backend & API: strong understanding of RESTful APIs, GraphQL, and server-side logic in a Node environment.
Benefits
- Chance to influence the AI models of the future using professional expertise.
- Competitive pay rates.
- Flexible hours.
- Ability to work from home.
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