Siyam Waheed

Key Skills

Software

CVAT

Labelbox

Roboflow

Scale AI

LabelImg

Other

Top Subject Matter

Object Detection

Retail Products

Medical Imaging

Top Data Types

Image

Video

Text

Audio

Top Task Types

Bounding Box

Tracking

Entity (NER) Classification

Transcription

Polygon

Classification

Freelancer Overview

AI Data Labeling Specialist (Image Annotation). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, LabelImg, and Roboflow. Education includes Bachelor of Science, Unknown University (2024). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Bounding Box, Tracking, and Entity (NER) Classification.

Labeling Experience

Text Annotation/NLP Data Labeling Specialist (Freelance & Academic)

LabelboxTextEntity Ner Classification

I labeled diverse text datasets for NLP tasks such as Named Entity Recognition, sentiment analysis, and intent classification. This included developing high-accuracy annotations for social media, retail, and support chat data. Quality control procedures ensured reliable, noise-free output to train robust language models. • Applied standards for NER and sentiment tasks in English, Urdu, and Pashto • Used Labelbox and proprietary tools for scalable annotation • Supported NLP model training with clear, well-documented datasets • Consistently achieved 97%+ accuracy in text annotation work

I labeled diverse text datasets for NLP tasks such as Named Entity Recognition, sentiment analysis, and intent classification. This included developing high-accuracy annotations for social media, retail, and support chat data. Quality control procedures ensured reliable, noise-free output to train robust language models. • Applied standards for NER and sentiment tasks in English, Urdu, and Pashto • Used Labelbox and proprietary tools for scalable annotation • Supported NLP model training with clear, well-documented datasets • Consistently achieved 97%+ accuracy in text annotation work

2023 - Present

Video Annotation & Audio Transcription Specialist (Freelance/Personal Projects)

CVATVideoTracking

I performed frame-by-frame video annotation for action recognition and surveillance AI projects, handling diverse scenarios including autonomous vehicles and content moderation. The labeling involved precise object tracking, action identification, and segmenting sequences for model training. High standards for accuracy were enforced via double-checking and iterative validation processes. • Used CVAT, Roboflow, and custom tools for video annotation • Coordinated with project stakeholders to refine labeling guidelines • Managed large video datasets for effective model learning • Adapted to evolving annotation standards and project requirements

I performed frame-by-frame video annotation for action recognition and surveillance AI projects, handling diverse scenarios including autonomous vehicles and content moderation. The labeling involved precise object tracking, action identification, and segmenting sequences for model training. High standards for accuracy were enforced via double-checking and iterative validation processes. • Used CVAT, Roboflow, and custom tools for video annotation • Coordinated with project stakeholders to refine labeling guidelines • Managed large video datasets for effective model learning • Adapted to evolving annotation standards and project requirements

2023 - Present

AI Data Labeling Specialist (Freelance/Personal Projects)

CVATImageBounding Box

I annotated over 5,000 images using bounding boxes, polygons, and semantic segmentation to create high-quality datasets for computer vision models. My work supported projects in object detection, medical imaging basics, retail product identification, and autonomous driving. Accuracy was maintained above 97% through careful self-QA and consistent review protocols. • Used tools such as CVAT, LabelImg, and Roboflow for precise image annotation • Handled edge cases and ensured labeling met project-specific standards • Collaborated with teams on data pipelines to ensure quality and consistency • Delivered datasets on schedule with clear documentation for downstream AI teams

I annotated over 5,000 images using bounding boxes, polygons, and semantic segmentation to create high-quality datasets for computer vision models. My work supported projects in object detection, medical imaging basics, retail product identification, and autonomous driving. Accuracy was maintained above 97% through careful self-QA and consistent review protocols. • Used tools such as CVAT, LabelImg, and Roboflow for precise image annotation • Handled edge cases and ensured labeling met project-specific standards • Collaborated with teams on data pipelines to ensure quality and consistency • Delivered datasets on schedule with clear documentation for downstream AI teams

2023 - Present

Audio Transcription/Data Labeling Specialist (Freelance)

LabelboxAudioTranscription

Annotated images using bounding boxes and polygon tools in CVAT for object detection projects. Covered retail products, vehicles, and general object categories with high accuracy.

Annotated images using bounding boxes and polygon tools in CVAT for object detection projects. Covered retail products, vehicles, and general object categories with high accuracy.

2022 - Present

Education

Work History