AI/LLM Analyst (Contract)
Innodata · Dec 2025 – Sep 2026
- Performed large-scale data annotation tasks including text classification, entity tagging, and structured content labeling for AI/ML training datasets, consistently meeting quality and accuracy benchmarks.
- Executed image and video content review tasks involving classification, tagging, and labeling of visual data in align-ment with detailed annotation guidelines - directly relevant to image segmentation and object detection workflows.
- Conducted bounding box-style region identification and feature-level analysis across datasets, applying careful atten-tion to spatial accuracy and label consistency required for computer vision tasks.
- Applied OCR and text annotation techniques to extract, label, and validate textual content from structured and unstructured data sources, ensuring clean and usable outputs for model training.
- Performed video content classification and event-level review tasks, identifying key actions and categorizing sequences against defined annotation schemas - aligning closely with video classification and keyframe annotation requirements.
- Maintained strict annotation consistency and quality across high-volume datasets by conducting self-reviews, applying escalation workflows, and following iterative feedback from senior reviewers.
- Collaborated with cross-functional teams in a remote work environment, delivering annotated datasets on time while maintaining accuracy rates required for production-grade AI model inputs.