Data Analyst I

Support the development of secure and fair identity verification systems by annotating and validating datasets used for document fraud detection, deepfake detection, presentation attack detection (PAD), and face recognition. Label document elements, flag tampering, apply liveness/spoof tags, and draw bounding boxes and landmarks. Maintain quality by reviewing peer annotations, documenting edge cases, and collaborating with ML engineers and data scientists to improve dataset quality and tools.