Abdul Rehman

Key Skills

Software

CVAT

Other

Top Subject Matter

General Visual Content

Action Recognition and Object Tracking

Social Media Visual Content

Top Data Types

Image

Video

Text

Document

Top Task Types

Classification

Tracking

Freelancer Overview

Freelance Image & Video Reviewer. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include CVAT and Other. Education includes Bachelor of Science, University of Karachi (2021). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Classification, Tracking, and Evaluation.

Labeling Experience

Freelance Image & Video Reviewer

CVATVideoTracking

I conducted detailed frame-by-frame analysis of video content to identify and log motion events according to specific criteria. My work included object tracking across scenes and activity classification to support training for AI models. I ensured annotation accuracy through careful review and adherence to the unique requirements of each project. • Performed object tracking using segmentation and keypoint techniques • Logged temporal video events in spreadsheets • Applied project-specific schemas for motion event labeling • Ensured accuracy and reliability across diverse video tasks.

I conducted detailed frame-by-frame analysis of video content to identify and log motion events according to specific criteria. My work included object tracking across scenes and activity classification to support training for AI models. I ensured annotation accuracy through careful review and adherence to the unique requirements of each project. • Performed object tracking using segmentation and keypoint techniques • Logged temporal video events in spreadsheets • Applied project-specific schemas for motion event labeling • Ensured accuracy and reliability across diverse video tasks.

2022 - Present

Freelance Image & Video Reviewer

CVATImageClassification

As a freelance image and video reviewer, I annotated and categorized over 10,000 images for personal and community dataset projects. My work involved consistently applying detailed taxonomy guidelines, utilizing multiple labeling methods, and carefully tracking progress. I reviewed ambiguous cases and strictly followed written annotation procedures to maintain high data quality. • Categorized large-scale image datasets using defined schemas • Verified annotation quality and flagged edge cases for review • Maintained logs in spreadsheets for project tracking • Used guidelines precisely with zero retraining required after briefing.

As a freelance image and video reviewer, I annotated and categorized over 10,000 images for personal and community dataset projects. My work involved consistently applying detailed taxonomy guidelines, utilizing multiple labeling methods, and carefully tracking progress. I reviewed ambiguous cases and strictly followed written annotation procedures to maintain high data quality. • Categorized large-scale image datasets using defined schemas • Verified annotation quality and flagged edge cases for review • Maintained logs in spreadsheets for project tracking • Used guidelines precisely with zero retraining required after briefing.

2022 - Present

Content Moderation & Quality Reviewer

OtherVideo

I was tasked with daily evaluation of short-form user videos aligned with set criteria mirroring AI output review workflows. I flagged policy ambiguities and provided detailed rationales, helping to refine team guidelines. My workflow emphasized high sustained attention and reliable decision-making in moderating content. • Conducted short video evaluation and labeling for compliance • Documented edge cases and contributed to better policy definitions • Maintained high accuracy during 60–90 minute review sessions • Supported feedback loops to improve annotation policies.

I was tasked with daily evaluation of short-form user videos aligned with set criteria mirroring AI output review workflows. I flagged policy ambiguities and provided detailed rationales, helping to refine team guidelines. My workflow emphasized high sustained attention and reliable decision-making in moderating content. • Conducted short video evaluation and labeling for compliance • Documented edge cases and contributed to better policy definitions • Maintained high accuracy during 60–90 minute review sessions • Supported feedback loops to improve annotation policies.

2021 - 2022

Content Moderation & Quality Reviewer

OtherImage

During my time as a content moderation and quality reviewer, I systematically evaluated thousands of user-submitted images for compliance with community guidelines. My role involved rating and flagging edge cases and providing written justifications to enhance internal policy clarity. I consistently met daily accuracy requirements within uninterrupted review sessions. • Reviewed static images for AI output evaluation • Contributed to guideline refinement through written rationale • Maintained consistency in evaluation ratings • Achieved required accuracy thresholds in high-volume workflows.

During my time as a content moderation and quality reviewer, I systematically evaluated thousands of user-submitted images for compliance with community guidelines. My role involved rating and flagging edge cases and providing written justifications to enhance internal policy clarity. I consistently met daily accuracy requirements within uninterrupted review sessions. • Reviewed static images for AI output evaluation • Contributed to guideline refinement through written rationale • Maintained consistency in evaluation ratings • Achieved required accuracy thresholds in high-volume workflows.

2021 - 2022

Academic Research Assistant

OtherTextClassification

As an academic research assistant, I performed qualitative data coding of survey responses based on a standardized rubric. This process involved organizing unstructured text into machine-readable categories and resolving annotation disagreements for increased dataset integrity. My familiarity with label consistency principles directly supported future AI training projects. • Applied defined rubric for coding free-form survey responses • Coordinated with a second reviewer to resolve labeling discrepancies • Ensured consistent annotation to enhance downstream training • Built foundational skills in structured data annotation for text datasets.

As an academic research assistant, I performed qualitative data coding of survey responses based on a standardized rubric. This process involved organizing unstructured text into machine-readable categories and resolving annotation disagreements for increased dataset integrity. My familiarity with label consistency principles directly supported future AI training projects. • Applied defined rubric for coding free-form survey responses • Coordinated with a second reviewer to resolve labeling discrepancies • Ensured consistent annotation to enhance downstream training • Built foundational skills in structured data annotation for text datasets.

2020 - 2021

Education

Work History