Data Entry Administrator responsible for entering and updating data in SAP modules within a hybrid work environment. Collaborating with the PMO/admin team to improve the data - entry workflow.
About the role
- Data Collector improving AI models for identity verification at Innovatrics. Engaging in data collection, analysis, and creative problem-solving in biometric technologies.
Responsibilities
- Gaining proficiency in internal data collection/annotation applications and tools.
- Understanding the specific data requirements and quality standards for AI model training, especially in the context of remote identity verification and presentation attack detection.
- Learning the art of "Spoofing": Understanding how users might try to trick biometric systems (using photos, masks, or digital screens).
- Assisting with foundational data sorting and collection tasks using various devices and operating systems.
- Contributing to our goals, by annotating the available data.
- Proactive Spoofing & Red Teaming: Brainstorming and executing creative ideas to "fool" our liveness models.
- Experimental Testing: Trying new approaches based on your own intuition or investigating specific issues reported by customers.
- Data Creation: Creating small, high-impact datasets based on your successful spoofing attempts to provide a baseline for our engineers to fix vulnerabilities.
- Taking ownership of the data collected by you, annotation (image/data sorting), and organization of diverse datasets according to project specifications.
- Collaborating regularly with the AI/ML teams to ensure the integrity and high quality of prepared data.
- Troubleshooting technical issues with data collection applications.
Requirements
- Creative Problem Solving: The ability to think outside the box to bypass security measures (spoofing).
- Strong attention to detail and a proven ability to maintain accuracy while managing large and complex datasets.
- Tech Versatility: Proficiency in utilizing a variety of devices (smartphones, tablets, cameras) and operating systems (e.g., iOS, Android, Windows) for efficient data collection and annotation tasks.
- Excellent organizational and time management skills with a demonstrated ability to troubleshoot technical issues in data collection tools.
- Ability to work effectively both independently and as part of a team to ensure collaborative data integrity.
- Preferred: Basic knowledge of Python
- Preferred: Familiarity with machine learning concepts and image annotation tools.
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