About the Role

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 robust 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).
- Clear 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 (Maharashtra)
🏢 Reed Business Information
📍 Maharashtra