Website:
korinno.in
Job details:
We are building cutting-edge enterprise intelligent video management and edge AI analytics designed for smart factories and industrial facilities. We are seeking a detail-oriented AI QA / Test Engineering interns to work dataset curation, model evaluation, and rigorous system testing. You will bridge the gap between raw video pipelines and production-grade computer vision models.
The interns will learn and support the testing of AI-driven video based products by designing test cases, executing manual and automated tests, and documenting results. Daily responsibilities include reviewing requirements, validating model outputs, identifying defects, and collaborating with engineers and AI scientists to improve product quality. The intern will help maintain test environments, contribute to test reports, and assist in implementing best practices in software quality assurance for AI, computer vision, and sensor-intelligence solutions.
Key Responsibilities
- Dataset Curation & Processing: Collect raw video feeds from industrial environments, extract keyframes, and build robust, high-volume datasets.
- Annotation & Labeling: Accurately label both positive and negative datasets for safety and operational use cases (PPE violations, fire/smoke detection, machine/forklift hazards, worker/machine idling, perimeter intrusion).
- AI Model Evaluation & Tuning: Benchmark model accuracy, precision/recall, and false-positive/negative rates against internal computer vision models; provide structured feedback for continuous model tuning.
- Core QA & Testing: Design and execute test plans covering functional testing, performance/load benchmarks on video streams, edge hardware validation, and edge-case error testing.
- Model Benchmarking: Assess and compare alternative AI models and architectures to ensure low latency and high accuracy in enterprise deployments
To Apply: Send you profile at office.admin@korinno.in
Click on Apply to know more.
