You will get a set up and managed data annotation project (CVAT, bounding boxes)


Project details
Bad training data sinks good AI models — garbage in, garbage out.
Inconsistent labels and sloppy bounding boxes quietly wreck model accuracy, and you don't find out until training fails. Clean, well-structured annotation is the foundation on which everything else sits.
I set up and run your annotation pipeline properly end-to-end.
What you get:
CVAT / Label Studio project setup
Clear labeling schema and guidelines
Accurate bounding boxes with QA checks
Clean exports: COCO, YOLO, or Pascal VOC
A scalable playbook your team can reuse
Why me: I'm a Technical PM who also annotates hands-on — so you get process discipline most freelance annotators lack: defined guidelines, consistency, and quality control built in, not bolted on.
How it works: Send me your dataset details and label classes → I confirm scope → you get clean, training-ready data on time.
New to Upwork, so you get senior-level work at an honest rate while I build my track record. Message me before ordering to confirm the scope.
Inconsistent labels and sloppy bounding boxes quietly wreck model accuracy, and you don't find out until training fails. Clean, well-structured annotation is the foundation on which everything else sits.
I set up and run your annotation pipeline properly end-to-end.
What you get:
CVAT / Label Studio project setup
Clear labeling schema and guidelines
Accurate bounding boxes with QA checks
Clean exports: COCO, YOLO, or Pascal VOC
A scalable playbook your team can reuse
Why me: I'm a Technical PM who also annotates hands-on — so you get process discipline most freelance annotators lack: defined guidelines, consistency, and quality control built in, not bolted on.
How it works: Send me your dataset details and label classes → I confirm scope → you get clean, training-ready data on time.
New to Upwork, so you get senior-level work at an honest rate while I build my track record. Message me before ordering to confirm the scope.
AI Development Type
Knowledge RepresentationWhat's included
| Service Tiers |
Starter
$30
|
Standard
$75
|
Advanced
$140
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 1 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
About Cynthia O
Technical Project Manager | AI/ML Delivery, SaaS & Data Annotation
Ikeja, Nigeria - 9:50 am local time
What I bring that most PMs don't: I can go technical when needed. I write the PRD, build the automation (n8n, Make), and even handle the data annotation pipeline myself (CVAT, Label Studio, bounding boxes) — so AI/ML projects don't stall waiting on three different contractors.
Recent work:
• Built and shipped an AI-powered product end-to-end — PRD, roadmap, prototypes, GTM plan
• Designed PM curriculum and taught Agile/Scrum and project management
• Hands-on AWS client delivery, stakeholder presentations, support analytics
How I work: clear communication, no surprises, deliverables that don't need redoing.
I'm building my Upwork track record now, so you get senior-level work at an honest starting rate while I earn your review.
If you need someone who can both own the plan and do the technical work, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Cynthia O can start the project.
Delivery time starts when Cynthia O receives requirements from you.
Cynthia O works on your project following the steps below.
Revisions may occur after the delivery date.
Validate Work and Outcomes

