Remote JavaScript QA Lead & Training Coach

Joinkeywork; United States; A distancia; USD 55.000 - 96.000; A tiempo parcial

Descripción de la vacante

SME Careers in the United States is seeking a JavaScript Quality Assurance Lead (QAL) for an hourly remote contractor role. You will oversee quality across JavaScript AI training projects, review AI-generated JavaScript code and trainer/QA work, and provide precise feedback while ensuring adherence to client rubrics.

You will monitor code correctness, readability, performance, security awareness, test coverage, and documentation, while communicating with remote trainers and QAs.

Formación

• 3+ years of professional JavaScript development or full-stack experience.
• Strong English communication to provide clear feedback in English.
• Experience leading or supporting remote teams of trainers and QAs.
• Ability to evaluate JS content against rubrics and identify issues.

Responsabilidades

• Quality monitoring: spot-check JavaScript items and provide feedback.
• Code review: evaluate AI-generated JS code, explanations, and tests.
• Trainer/QA communication: update guidelines and project changes on Discord.
• Question handling: respond clearly on JavaScript behavior and rubrics.
• Activation management: DM inactive contributors and track follow-ups.
• Documentation: create and maintain JS project docs and onboarding material.
• Onboarding/training: schedule calls to explain expectations and rubrics.
• Quality alignment: ensure consistent application of JS review guidelines.
• Risk and security: flag unsafe or insecure code recommendations.

Conocimientos

JavaScript

Quality Assurance

Remote leadership

English communication

Code review

Educación

Bachelor’s or Master’s in CS/SE/IT

Equivalent professional experience

Herramientas

Node.js

React

Jest

Playwright

ESLint

Web development tools

Descripción del empleo

SME Careers in the United States is seeking a JavaScript Quality Assurance Lead (QAL) for an hourly remote contractor role. You will oversee quality across JavaScript AI training projects, review AI-generated JavaScript code and trainer/QA work, and provide precise feedback while ensuring adherence to client rubrics.

You will monitor code correctness, readability, performance, security awareness, test coverage, and documentation, while communicating with remote trainers and QAs.