Bolsista QA Engineer (AI & Learning Produto & Pesquisa Aplicada)
Core
Validating the quality of an AI-powered digital learning platform, focusing on technical functionality and the coherence/clarity of AI-generated educational outputs.
Role type
QA Analyst (AI & Learning Product & Applied Research)
Builds
AI-integrated digital learning solutions
Domain
EdTech + Artificial Intelligence
Deliverable
production ML models | product features
Required skills
API testing, software testing concepts, JavaScript, Git, automated testing, web application testing, basic AI knowledge, RAG concepts, UX testing, digital content quality assessment
Preferred skills
LLMs, RAG pipelines, frontend/backend testing, test automation
Technologies
Postman, Jest, Cypress, React, Node.js
Responsibilities
Plan and execute platform tests (frontend, backend, integrations); Validate APIs and critical system flows; Evaluate AI output quality for clarity and educational relevance; Test RAG pipelines; Create test scenarios based on user profiles; Identify technical and cognitive failures; Collaborate with AI specialists on model quality; Support hypothesis validation; Define quality criteria for AI features; Automate tests; Document results for project accountability.
Seniority
Junior/Research Fellow (Bolsista)