onsite
QA Engineer - Product Testing & Dataset Benchmarking - RChilli
QA Engineer
Manual QA Engineer focused on testing AI‑driven recruitment products, creating and maintaining datasets for validation, and performing document testing across multiple file formats.
About the role
Key Responsibilities
- Execute functional and regression tests on AI‑powered recruitment tools using real‑world scenarios.
- Prepare, organize, and maintain diverse datasets to validate product performance and benchmark accuracy.
- Design and document test cases, test plans, and test data sets aligned with product requirements.
- Perform document testing across PDF, DOCX, and other file formats to ensure correct parsing and data extraction.
- Log defects, track issue resolution, and collaborate with development and data science teams to improve product quality.
Requirements
- 2 + years of hands‑on experience in manual QA or product testing.
- Strong understanding of dataset preparation, data validation, and benchmarking concepts.
- Proficiency in creating and executing test cases, and documenting results.
- Familiarity with document formats (PDF, DOCX, etc.) and tools for file‑based testing.
- Experience working in Agile environments and using defect‑tracking systems.