Muhammad Ahmad

Key Skills

Software

CVAT

Labelbox

Roboflow

SuperAnnotate

V7 Labs

Label Studio

Scale AI

Appen

Other

Remotasks

Top Subject Matter

Computer Vision Model Training

Physical AI

Robotics Domain Expertise

Top Data Types

Image

Video

Top Task Types

Bounding Box

Data Collection

Segmentation

Freelancer Overview

Senior Data Annotation & Labeling Specialist. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Labelbox, and Roboflow. Education includes Bachelor of Science, The Islamia University of Bahawalpur (2020). AI-training focus includes data types such as Image and Video and labeling workflows including Bounding Box, Data Collection, and Segmentation,

Labeling Experience

AI Data Collector & Content Specialist

OtherVideoData Collection

I collected and submitted egocentric video footage for physical AI and world model datasets. My contributions included capturing daily activity videos in multiple environments for robotics training data. I supported synthetic data projects by generating AI images and videos using leading generative AI tools. • Provided annotated real-world video for embodied AI research. • Researched and tested emerging AI annotation tool workflows for quality improvement. • Facilitated the augmentation of training pipelines with synthetic data resources. • Actively contributed to cutting-edge physical AI data collection platforms.

I collected and submitted egocentric video footage for physical AI and world model datasets. My contributions included capturing daily activity videos in multiple environments for robotics training data. I supported synthetic data projects by generating AI images and videos using leading generative AI tools. • Provided annotated real-world video for embodied AI research. • Researched and tested emerging AI annotation tool workflows for quality improvement. • Facilitated the augmentation of training pipelines with synthetic data resources. • Actively contributed to cutting-edge physical AI data collection platforms.

2021 - Present

Freelance Data Labeler (Portfolio)

Scale AIImageSegmentation

I provided expert freelance data labeling services for global AI clients across platforms like Scale AI, Appen, Remotasks, and OpenTrain AI. I curated and labeled segmentation masks, keypoint projects, and instance segmentation datasets for computer vision initiatives. My portfolio includes work verified through Upwork with a focus on annotation accuracy and client satisfaction. • Experienced in handling segmentation projects at scale for diverse industries. • Demonstrated adaptability across multiple annotation tasking and platform environments. • Delivered project samples and labeled dataset portfolios for reference. • Facilitated global AI model training with high-quality annotation deliverables.

I provided expert freelance data labeling services for global AI clients across platforms like Scale AI, Appen, Remotasks, and OpenTrain AI. I curated and labeled segmentation masks, keypoint projects, and instance segmentation datasets for computer vision initiatives. My portfolio includes work verified through Upwork with a focus on annotation accuracy and client satisfaction. • Experienced in handling segmentation projects at scale for diverse industries. • Demonstrated adaptability across multiple annotation tasking and platform environments. • Delivered project samples and labeled dataset portfolios for reference. • Facilitated global AI model training with high-quality annotation deliverables.

2019 - Present

Senior Data Annotation & Labeling Specialist

CVATImageBounding Box

I labeled over 500,000 images and video frames using bounding boxes, polygons, semantic segmentation, and key point annotations. My work included QA review and inter-annotator agreement, producing high-accuracy datasets. I used tools such as CVAT, Labelbox, Roboflow, and SuperAnnotate for diverse computer vision projects. • Delivered action recognition and activity detection labeling for robotics and embodied AI. • Handled RLHF tasks like response ranking and AI output evaluation for LLM training. • Created structured metadata and managed large-scale data entry workflows for various industries. • Maintained dataset accuracy rates above 99.5% for production AI systems.

I labeled over 500,000 images and video frames using bounding boxes, polygons, semantic segmentation, and key point annotations. My work included QA review and inter-annotator agreement, producing high-accuracy datasets. I used tools such as CVAT, Labelbox, Roboflow, and SuperAnnotate for diverse computer vision projects. • Delivered action recognition and activity detection labeling for robotics and embodied AI. • Handled RLHF tasks like response ranking and AI output evaluation for LLM training. • Created structured metadata and managed large-scale data entry workflows for various industries. • Maintained dataset accuracy rates above 99.5% for production AI systems.

2019 - Present

Education

Work History