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Recognizable employer and common entry-level data analyst/annotation role attracts moderate candidate competition.
Annotation skills and basic data literacy transfer easily across industries.
No explicit years or mandatory tech stack; hiring emphasizes accuracy and trainable annotation skills.
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Label and validate diverse datasets (documents, images, video, audio) to enhance identity verification AI models.
Identify and tag document elements for fraud detection and annotate manipulated media for deepfake and spoof detection.
Review peer annotations and collaborate with ML engineers to ensure dataset quality and improve annotation processes.
Attention to detail with ability to maintain accuracy on repetitive tasks.
Basic understanding of computer vision or machine learning concepts (training provided).
Comfortable using web-based annotation tools (training provided).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in detailed data annotation or quality control for AI/ML datasets.
Comfortable working in highly structured tasks with emphasis on accuracy.
Capable of collaborating with technical teams (ML engineers, data scientists) to improve data quality and annotation guidelines.