Javascript - Senior Developers - AI Training - Oxford, UK

prolificacademicltd

Stati Uniti

Remoto

USD 57.000 - 81.000

Tempo pieno

10 giorni fa

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Remote work

Descrizione del lavoro

prolificacademicltd is seeking a detail-oriented Software QA specialist to help train and assess AI models using JavaScript and TypeScript. You will review generated code, run it in Node.js or the browser, and provide structured feedback on technical quality.

Work is task-based with flexible remote options. Candidates should have strong JS/TS skills, experience building web apps, and the ability to solve medium to hard algorithmic problems. Compensation is hourly for paid tasks up to $50/hour.

Competenze

  • Bachelor's, master's, or doctoral degree in CS or related field.
  • Professional experience building scalable web apps with JavaScript/TypeScript.
  • Ability to solve medium to hard algorithmic problems 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 React/Node.js/Vue/Angular and testing/build tools Jest, Cypress, Webpack, or Vite.

Mansioni

  • Check generated JS/TS for correctness, readability, and modern practices.
  • Assess explanations of algorithmic solutions for logical soundness.
  • Run scripts in Node.js or browser and verify outputs and performance.
  • Flag inefficient approaches, outdated syntax, and nonexistent libraries.
  • Identify logic errors, memory leaks, and security issues in code.
  • Provide feedback on model reasoning about frontend/backend design.

Conoscenze

JavaScript
TypeScript
Node.js
React
Vue
Angular
ES6+ practices
Async/await
Event loop knowledge
Code quality

Formazione

Bachelor's degree in CS/SE or related field

Strumenti

Jest
Cypress
Webpack
Vite
REST APIs
GraphQL

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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