You will get Image & Video Annotation with Bounding Boxes and Segmentation
Project details
I deliver high-precision image and video annotation for computer vision and AI training datasets. With 2+ years of professional experience working for international AI companies in the UAE and USA, I understand production-level quality standards and tight deadlines.
My annotation work covers bounding boxes, polygon segmentation, keypoint annotation, and frame-by-frame video object tracking using CVAT VGG and Roboflow. Every project is delivered with strict adherence to
your guidelines and full quality review.
I am Microsoft Certified in Azure AI Fundamentals and hold an AI Evaluation Specialist credential from
micro1— so you get an annotator who understands the full AI pipeline, not just labeling.
If you need clean, consistent, and accurate annotation data that actually improves your model performance —
let's work together.
My annotation work covers bounding boxes, polygon segmentation, keypoint annotation, and frame-by-frame video object tracking using CVAT VGG and Roboflow. Every project is delivered with strict adherence to
your guidelines and full quality review.
I am Microsoft Certified in Azure AI Fundamentals and hold an AI Evaluation Specialist credential from
micro1— so you get an annotator who understands the full AI pipeline, not just labeling.
If you need clean, consistent, and accurate annotation data that actually improves your model performance —
let's work together.
What's included
| Service Tiers |
Starter
$30
|
Standard
$75
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | - | |
Source Code | - | - | - |
Frequently asked questions
About Muhammad Ajmal
AI Data Annotator & Evaluation Specialist |Computer Vision| CVAT |RLHF
Lahore, Pakistan - 8:51 pm local time
My work spans computer vision annotation (CVAT, Roboflow, VGG Annotator), LLM output evaluation and RLHF feedback, and multi-modal data labeling for object detection, semantic segmentation, and video frame analysis. I currently annotate retail footage frame-by-frame for a US-based computer vision company — so I understand production-level quality standards and tight turnaround expectations.
On the evaluation side, I hold an AI Evaluation Specialist credential (micro1) and have experience assessing LLM responses for accuracy, tone, instruction-following, and safety alignment.
I am also Microsoft Certified in Azure AI Fundamentals — covering ML, Computer Vision, NLP, and Generative AI on Azure.
My technical background (B.S. Physics, GC University Faisalabad) means I can work with structured data, edge cases, and ambiguous labeling guidelines — and flag inconsistencies rather than guess.
I'm available for part-time contracts, fixed-price annotation tasks, and ongoing QA/evaluation engagements. If you need a reliable annotator who treats your data like a first-party asset, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Ajmal can start the project.
Delivery time starts when Muhammad Ajmal receives requirements from you.
Muhammad Ajmal works on your project following the steps below.
Revisions may occur after the delivery date.
Review Requirements
Review client guidelines, sample data, and annotation instructions to ensure full understanding before starting work.
Setup Annotation Project
Set up the project in CVAT or preferred annotation tool and configure labels according to client specifications.