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Metro location, popular entry-level data title, and recognizable brand create high candidate competition.
Annotation skills and basic ML familiarity transfer easily across industries.
No explicit years or strict technical mandates; emphasis is on attention to detail and annotation accuracy.
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Perform data annotation and validation for multiple data formats including documents, images, video, and audio to support identity verification models.
Identify and label elements related to document fraud, deepfake detection, presentation attack detection, and face recognition tasks following project guidelines.
Collaborate with machine learning engineers and data scientists to ensure high dataset quality and contribute to improving annotation tools and guidelines.
Attention to detail and strong observational skills.
Ability to maintain accuracy on repetitive annotation tasks.
Basic understanding of computer vision and machine learning concepts (training provided).
Work Experience Required: Not explicitly mentioned in the JD.
Comfortable working within structured annotation frameworks emphasizing precision and consistency.
Able to communicate clearly about data edge cases and annotation nuances to technical teams.
Willing to engage in detailed, process-driven tasks supporting AI model improvement in identity verification and fraud detection domains.