You will get AI Data Annotation & Data Labeling for AI/ML Training Datasets

Muhammad M.Status: Offline
Muhammad M. Muhammad M.
5.0
Rising Talent

Let a pro handle the details

Buy Machine Learning services from Muhammad, priced and ready to go.
Muhammad M.Status: Offline
Muhammad M. Muhammad M.
5.0
Rising Talent

Let a pro handle the details

Buy Machine Learning services from Muhammad, priced and ready to go.

Project details

I will provide accurate AI Data Annotation and Data Labeling services for high-quality AI/ML training datasets. I can handle image annotation, video annotation, audio annotation, text/NLP labeling, medical data labeling, LiDAR tagging, geospatial annotation, OCR annotation, NER, sentiment analysis, intent classification, transcription, content moderation, and dataset QA. My work supports Machine Learning, Computer Vision, NLP, LLM training, model evaluation, and scalable AI Training Data workflows.

I can deliver structured outputs in JSON, CSV, XML, COCO JSON, YOLO TXT, Pascal VOC, LabelMe, or custom formats based on your model pipeline. Every dataset is annotated according to your labeling guidelines, class taxonomy, and quality standards. I focus on clean labels, consistency, edge-case handling, confidentiality, and reliable delivery.

This service is ideal for AI startups, ML engineers, research teams, healthcare AI projects, autonomous driving datasets, drone/satellite imagery, chatbot training, and content moderation datasets. Share your data, instructions, and output format, and I will prepare accurate, quality-reviewed training data ready for AI model development.
What's included
Service Tiers Starter
$59
Standard
$189
Advanced
$449
Delivery Time 3 days 6 days 9 days
Number of Revisions
123
Model Validation/Testing
-
-
-
Model Documentation
-
-
-
Data Source Connectivity
-
-
-
Source Code
-
-
-
Optional add-ons You can add these on the next page.
Fast Delivery
+$50 - $200

Frequently asked questions

5.0
2 reviews
100% Complete
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)

ST

Sibling T.
5.00
Aug 14, 2026
Expert Computer Vision Data Annotator Needed for Image Annotation & Segmentation Projects Muhammad did a good job as a Computer Vision Data Annotator. He delivered accurate and consistent annotations for bounding boxes, segmentation, and classification tasks. His attention to detail was strong, he followed annotation guidelines closely, and met deadlines without compromising quality. Reliable, focused, and easy to work with. Highly recommend Muhammad for any computer vision data labeling project.

MR

Muazzam R.
5.00
Aug 6, 2026
AI Data Annotation Specialist Needed and Computer Vision, NLP, RLHF & AI Training Data Muhammad did an excellent job with AI data annotation. He delivered accurate, high-quality work, followed the project guidelines carefully, and completed the tasks on time. His attention to detail, professionalism, and clear communication made the collaboration smooth and efficient. I highly recommend Muhammad for AI data annotation projects and would be happy to work with him again.
Muhammad M.Status: Offline

About Muhammad

Muhammad M.Status: Offline
Computer Vision Data Annotator | Segmentation, Bounding Boxes, CVAT
100% Job Success
5.0  (2 reviews)
Dera Ghazi Khan, Pakistan - 10:34 pm local time
I help AI teams turn raw images and videos into clean, model-ready Computer Vision datasets. I specialize in bounding boxes, polygons, semantic and instance segmentation, keypoints, object tracking, OCR regions, dataset QA, and binary PNG masks.

I can follow your existing annotation guidelines or help identify unclear classes, edge cases, and labeling inconsistencies before full production begins.

Computer Vision services

• Image and video annotation
• Bounding boxes and rotated boxes
• Polygon annotation
• Semantic and instance segmentation
• Binary PNG mask creation
• Keypoint and landmark annotation
• Object tracking with consistent IDs
• Image classification
• OCR and document-layout annotation
• Dataset review, correction, and validation

Tools

CVAT, Label Studio, Labelbox, Roboflow, LabelImg, and client-provided platforms.

Delivery formats

COCO JSON, YOLO TXT, Pascal VOC XML, JSON, CSV, XML, and PNG masks.

Before starting, I review the class list, examples, required format, boundary rules, and edge cases. During production, I check missing objects, incorrect classes, loose boundaries, ID switches, and export errors.

You will receive organized files, consistent annotations, clear progress updates, and a dataset prepared for model training.

I also support selected NLP and LLM evaluation tasks, including text classification, response rating, and RLHF, when clear evaluation guidelines are provided.

Steps for completing your project

After purchasing the project, send requirements so Muhammad can start the project.

Delivery time starts when Muhammad receives requirements from you.

Muhammad works on your project following the steps below.

Revisions may occur after the delivery date.

Review Data & Guidelines

I will review your dataset, annotation guidelines, class labels, output format, tool access, and project goals. Any unclear labels, edge cases, missing instructions, or quality expectations will be flagged before annotation starts and confirmed.

Set Up Annotation Workflow

I will prepare the annotation workspace, import files, organize labels, configure formats, and confirm sample instructions. A small test batch may be completed first to align expectations, taxonomy, edge cases, and quality standards before full work.

Review the work, release payment, and leave feedback to Muhammad.