Nadeem Khalid

Detail-oriented Data Annotation Specialist with extensive experience in live video annotation, 2D/3D image labeling, polyline, polygon, LiDAR, and stochastic Quality Assurance (QA). Proven track record in preparing high-quality training datasets for advanced AI, machine learning, and computer vision algorithms. Skilled in utilizing modern annotation platforms to ensure dataset precision, compliance, and optimal workflow performance.

Live Video Annotator - MOTIVE - Rawalpindi, Pakistan

(2025-07 - 2026-07)

• Executed high-precision real-time live video annotation to train and refine computer vision and AI models.
• Analyzed and tagged high-volume continuous video streams with strict adherence to data labeling guidelines and accuracy benchmarks.
• Identified, tracked, and categorized dynamic objects, human behaviors, and critical temporal events within live feeds.
• Collaborated closely with engineering and product teams to streamline annotation workflows and minimize edge-case errors.

Data Annotator / Senior Data Annotator - COWLAR DESIGN STUDIO - Rawalpindi, Pakistan

(2024-03 - 2025-02)

Delivered high-quality datasets across diverse annotation formats while managing marketing menu digitization tasks.

• Conducted Live Video, Fiber, and Polygon annotations across complex multi-format datasets.
• Operated advanced industry annotation software including Smart Kit Thanos, Via Photon, and C-VAT Tools.
• Executed menu digitization workflows for targeted digital marketing initiatives, ensuring accurate data capture.
• Maintained strict quality control metrics and performed validation checks to eliminate dataset inconsistencies.

Data Annotation Specialist & Stochastic QA - MAANZ AI - Rawalpindi, Pakistan

(2021-06 - 2024-03)

Managed comprehensive dataset labeling and quality assurance over 2 years and 10 months.

• Performed 2D/3D image annotation, video tracking, polyline segmentation, and LiDAR point-cloud labeling.
• Handled specialized detection modules including MOD, PED, MSR, WLA, LDA, BHE, Face Detection, and License Plate Recognition.
• Executed Stochastic QA procedures to validate ground truth data and enforce rigorous data integrity standards.

Bachelor of Science - Mathematics, Statistics, Computer Science - University of the Punjab (2020)

FSc - Pre-Engineering - Punjab College (2017)

Matriculation - Science - Sir Syed Public School (2015)