QA Engineer – AI Training & Evaluation

Experience: 3–8 Years
Job Type: Contractor
Location: Remote
Compensation: $30–$60/hour

Role Overview
• Contribute to LLM training and evaluation workflows by testing software, reviewing AI-generated outputs, and validating model behavior.
• Assess outputs for functional correctness, accuracy, reliability, edge-case handling, and adherence to requirements.
• Create and review test cases, test scenarios, evaluation criteria, bug reports, and quality benchmarks for AI-driven workflows.
• Provide detailed feedback to improve LLM performance, software quality, and reliability across complex technical tasks.

Key Requirements
• 3–8 years of professional experience in QA, Software Testing, Quality Engineering, or related roles.
• Robust experience with manual and automated testing, test case design, debugging, API testing, and regression testing.
• Proficiency with Python, JavaScript, Java, or similar languages, along with tools such as Selenium, Playwright, Cypress, or equivalent.
• Experience with or strong interest in LLM evaluation, AI-assisted testing, prompt engineering, or AI training workflows.

📌 QA Engineer | Remote (India)
🏢 Codefeast
📍 India