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Collaborative Calibration: Participate in team calibration sessions to align on guideline interpretations and reduce reviewer-to-reviewer variance. Shape the Future of Computer Vision — Remote (India)
Are you a detail-oriented QA professional with a sharp eye for visual data?
Welo Data is looking for Generative AI Analysts to execute high-volume labeling and quality reviews across complex multimedia datasets. This role is tailored for specialists who excel at interpreting structured guidelines and applying them to diverse visual media (video, images, and metadata).
You will be on the front lines of AI development, ensuring that the next generation of computer vision models learns from accurate, consistent, and high-quality human feedback.
The Mission: Precision in Visual Data Multimodal Annotation: Accurately annotate and review multimedia data using strict rules (e.g., event tagging, temporal boundaries, object attributes). Edge-Case Identification: Follow detailed guidelines consistently while proactively flagging ambiguous visual scenarios with clear examples.
Quality Ownership: Perform rigorous self-QA on completed tasks and support broader quality workflows like second-pass reviews and audits. Process Improvement: Track recurring failure modes and contribute directly to guideline evolution by documenting clear exa
