We are seeking detail-oriented AI Annotators to support the development of secure and fair identity verification systems. Your work will involve labeling and validating datasets used in document fraud detection, deepfake detection, presentation attack detection (PAD), and face recognition. The annotations you provide will directly improve model accuracy, fairness, and resilience.
Responsibilities
Data annotation
Labeling document elements
Annotate manipulated regions in deepfake datasets
Liveness indicators and spoof artifacts in PAD datasets
Bounding boxes and facial landmarks for face recognition tasks
Time-based labels in video for frame-level PAD/deepfake detection
Document edge cases and suggest improvements to annotation guidelines
Review peer annotations and ensure quality standards
Collaborate with ML engineers and data scientists to improve dataset quality and tools
Requirements
Attention to detail and solid observational skills.
Ability to focus on repetitive tasks while maintaining accuracy.
Basic understanding of computer vision/ML concepts (training provided).
Comfortable using web-based annotation tools (training provided).
Explicit written and verbal communication skills to describe edge cases.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Data Analyst I Mumbai
🏢 Reed Business Information
📍 Mumbai
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