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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