Javascript - Senior Developers - AI Training - Oklahoma City, USA

prolificacademicltd

Stati Uniti

Remoto

USD 41.000 - 69.000

Tempo pieno

10 giorni fa

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Descrizione del lavoro

Prolific Academic Ltd seeks a skilled JavaScript/TypeScript engineer to review generated code and explanations. You will run Node.js or browser-based tests, evaluate correctness and readability, and provide structured feedback on technical quality and model reasoning for frontend and backend design.

You will tackle medium to hard algorithmic coding problems, ensure modern ES6+ practices, and flag inefficiencies while collaborating on scalable web applications.

Competenze

  • Requires a bachelor’s, master’s or doctoral degree in computer science, software engineering, or related field.
  • Professional experience building scalable web applications with JavaScript or TypeScript.
  • Ability to solve medium to hard algorithmic coding problems independently in JavaScript.
  • Strong knowledge of the event loop, closures, prototypal inheritance, and asynchronous programming with promises/async‑await.
  • Careful, detail‑oriented approach to code quality, modularity, readability, and modern ES6+ practices.
  • Experience with JavaScript/TypeScript; familiarity with React, Node.js, Vue, or Angular plus Jest, Cypress, Webpack or Vite.

Mansioni

  • Check generated JavaScript and TypeScript for correctness, readability, and current coding practices.
  • Assess whether explanations of algorithmic solutions are logically sound.
  • Run scripts in Node.js or browser environments and verify output and performance.
  • Flag inefficient approaches, outdated syntax, and references to nonexistent library methods.
  • Identify logic errors, memory leaks, and security issues in generated code.
  • Provide feedback on model reasoning about frontend and backend design.

Conoscenze

JavaScript
TypeScript
Algorithmic problem solving
Event loop
Closures
Promises/async-await

Formazione

Bachelor’s, Master’s or Doctoral in CS/SE

Strumenti

React
Node.js
Vue
Angular
Jest
Cypress
Webpack
Vite
ES6+ practices

Descrizione del lavoro

Role overview

Use professional JavaScript and TypeScript expertise to help train and assess AI models. Work is task based: review generated code and explanations, check behavior through execution, and give structured feedback on technical quality. Participation follows a short skills assessment, and some paid tasks require an uninterrupted hour.

Responsibilities
  • Check generated JavaScript and TypeScript for correctness, readability, and current coding practices.
  • Assess whether explanations of algorithmic solutions are logically sound.
  • Run scripts in Node.js or browser environments and verify their output and performance.
  • Flag inefficient approaches, outdated syntax, and references to nonexistent library methods.
  • Identify logic errors, memory leaks, and security issues in generated code.
  • Provide feedback on model reasoning about frontend and backend design.
Requirements
  • A bachelor’s, master’s, or doctoral degree in computer science, software engineering, or a closely related technical field.
  • Professional experience building scalable web applications with JavaScript or TypeScript.
  • Ability to solve medium to hard algorithmic coding problems independently in JavaScript.
  • Strong knowledge of the event loop, closures, prototypal inheritance, and asynchronous programming with promises and async/await.
  • Careful, detail-oriented approach to code quality, including modularity, readability, and modern ES6+ practices.
  • Experience with JavaScript and TypeScript; familiarity with React, Node.js, Vue, or Angular, plus testing and build tools such as Jest, Cypress, Webpack, or Vite.
Nice to have
  • Knowledge of REST APIs, GraphQL, and server-side development in Node.js.
Benefits and work setup

Tasks are offered flexibly and can be completed remotely. The source describes rates of up to $50 per hour, with actual tasks varying in length; some require one uninterrupted hour. A 10–15 minute assessment is used to evaluate suitability before invitation to participate.

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