Javascript - Senior Developers - AI Training - Fresno, US

prolificacademicltd; Stati Uniti; Remoto; USD 41.000 - 69.000; Tempo pieno

Descrizione del lavoro

prolificacademicltd is seeking a skilled reviewer to contribute JavaScript and TypeScript expertise for AI model training and evaluation. You will review generated code, check behavior by running scripts, and provide structured feedback on model responses.

A short skills assessment may lead to paid expert tasks. Candidates should demonstrate strong JS/TS capabilities, knowledge of modern language features, and experience with frameworks and testing tools.

Competenze

• 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-level programming problems independently in JavaScript.
• Strong knowledge of the event loop, closures, prototypal inheritance, Promises, and async/await.
• High standards for clean, readable ES6+ code and careful attention to subtle defects.
• Familiarity with frameworks such as React, Node.js, Vue, or Angular, plus testing and build tools such as Jest, Cypress, Webpack, or Vite; knowledge of REST, GraphQL, and Node server-side development is relevant.

Mansioni

• Assess generated JavaScript and TypeScript for correctness, readability, modularity, and current language practices.
• Check algorithmic solutions and their explanations for sound reasoning and appropriate efficiency.
• Run scripts in Node.js or browser tools to confirm outputs and investigate behavior.
• Flag issues such as outdated syntax, nonexistent APIs, logical errors, memory leaks, or security weaknesses.
• Give structured feedback on model responses involving frontend or backend design.

Conoscenze

JavaScript

TypeScript

Event loop

Closures

Promises

Async/await

ES6+

Formazione

Bachelor's degree in CS/SE

Master's degree in CS/SE

Doctoral degree in CS/SE

Strumenti

React

Node.js

Vue

Angular

Jest

Cypress

Webpack

Vite

REST

GraphQL

Descrizione del lavoro

Role overview

Contribute professional JavaScript and TypeScript expertise to the training and evaluation of AI models. Work involves reviewing generated code and technical explanations, checking behavior through execution, and providing structured feedback on the quality of model responses. Candidates who pass a short skills assessment may be invited to take paid tasks as an expert participant.

Responsibilities

• Assess generated JavaScript and TypeScript for correctness, readability, modularity, and current language practices.
• Check algorithmic solutions and their explanations for sound reasoning and appropriate efficiency.
• Run scripts in Node.js or browser tools to confirm outputs and investigate behavior.
• Flag issues such as outdated syntax, nonexistent APIs, logical errors, memory leaks, or security weaknesses.
• Give structured feedback on model responses involving frontend or 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-level programming problems independently in JavaScript.
• Strong knowledge of the event loop, closures, prototypal inheritance, Promises, and async/await.
• High standards for clean, readable ES6+ code and careful attention to subtle defects.
• Familiarity with frameworks such as React, Node.js, Vue, or Angular, plus testing and build tools such as Jest, Cypress, Webpack, or Vite; knowledge of REST, GraphQL, and Node server-side development is relevant.

Benefits and work setup

The work is task-based and flexible, with remote participation described. Tasks may require an uninterrupted hour, though many are shorter. The source says researchers may pay up to $50 per hour; actual task availability and rates can vary. A 10-15 minute skills assessment is part of the selection process.