Data Analyst I

Tasks

• Annotate datasets for document fraud detection
• Annotate deepfake and image tamper regions
• Apply time based labels for frame level deepfake and presentation attack detection
• Collaborate with ML engineers and data scientists to improve dataset quality and tools
• Create bounding boxes and facial landmarks for face recognition
• Document edge cases and suggest guideline improvements
• Label document elements and detect tampering
• Review peer annotations and ensure labeling quality
• Tag liveness indicators and spoof artifacts for presentation attack detection

Perks/Benefits

• N/A

Skills/Tech-stack

Attack detection | Bounding boxes | Computer Vision | Data Quality | Data labeling | Deepfake detection | Face Recognition | Facial Landmarks | Machine Learning | Presentation attack detection