You will get Transforming raw data and AI outputs into structured, reviewed datasets.
Project details
I bring 4+ years of experience in AI data annotation and BPO operations, including leading annotation teams on enterprise projects across three service areas:
Computer Vision, bounding boxes, polygons, segmentation, keypoints, image classification, OCR/nameplate digitisation
Document AI, document classification, form/field labeling, HITL QA, human review of model outputs.
What you get with every project:
A calibration pilot batch before full production, so guidelines are validated early and rework is avoided
Layered QA: self-review, second-pass sampling, and consistency audits against an agreed accuracy benchmark (typically ≥95%)
Delivery in your required format.
A QA summary report and documented label taxonomy, so future batches stay consistent
I can work in your platform or in-house tools) or recommend the right setup for your data. If you don't have annotation guidelines yet, I'll draft them for you as part of the project.
Sensitive data? NDAs are welcome, and I follow strict data-handling practices from enterprise client work.
Send me a sample of your data and a short description of your goal, I'll respond with a recommended approach and timeline within 24 hours.
Computer Vision, bounding boxes, polygons, segmentation, keypoints, image classification, OCR/nameplate digitisation
Document AI, document classification, form/field labeling, HITL QA, human review of model outputs.
What you get with every project:
A calibration pilot batch before full production, so guidelines are validated early and rework is avoided
Layered QA: self-review, second-pass sampling, and consistency audits against an agreed accuracy benchmark (typically ≥95%)
Delivery in your required format.
A QA summary report and documented label taxonomy, so future batches stay consistent
I can work in your platform or in-house tools) or recommend the right setup for your data. If you don't have annotation guidelines yet, I'll draft them for you as part of the project.
Sensitive data? NDAs are welcome, and I follow strict data-handling practices from enterprise client work.
Send me a sample of your data and a short description of your goal, I'll respond with a recommended approach and timeline within 24 hours.
What's included
| Service Tiers |
Starter
$20
|
Standard
$30
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 30 days |
Number of Revisions | 0 | 0 | 0 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$250 - $1,000
Additional Revision
+$20
Additional Model Variation
+$20
Additional Scenario
+$20
Additional Graph/Chart
+$20About Afam
Data Annotation & Tagging Expert
Lekki, Nigeria - 5:02 am local time
Steps for completing your project
After purchasing the project, send requirements so Afam can start the project.
Delivery time starts when Afam receives requirements from you.
Afam works on your project following the steps below.
Revisions may occur after the delivery date.
Run a calibration pilot batch Description
I review your sample data and instructions, flag edge cases, and confirm (or draft) a clear labeling guideline document with class definitions and examples so we're aligned before production starts.
Run a calibration pilot batch Description
I annotate a small pilot batch (e.g., 50–100 items) and submit it for your review. We refine the guidelines based on your feedback before scaling up, this prevents costly rework later.