You will get High-Precision Data Annotation and Quality Audit (QA) for AI Models.
Project details
I deliver gold-standard datasets for computer vision models, specializing in high-stakes environments like automotive damage assessment and agricultural health monitoring. With deep expertise in Dataloop and CVAT, I ensure that every polygon and bounding box meets 99.9% accuracy standards.
Specializations:
✔Automotive: Panel damage identification, scratch/dent segmentation, and structural component labeling (Project Fyusion experience).
✔Agric-Tech: Weed vs. crop classification, leaf-level segmentation, and growth stage monitoring (Project Syngenta experience).
✔QA & Auditing: I do a systemic review of existing datasets to identify model drift or human error.
Specializations:
✔Automotive: Panel damage identification, scratch/dent segmentation, and structural component labeling (Project Fyusion experience).
✔Agric-Tech: Weed vs. crop classification, leaf-level segmentation, and growth stage monitoring (Project Syngenta experience).
✔QA & Auditing: I do a systemic review of existing datasets to identify model drift or human error.
What's included
| Service Tiers |
Starter
$45
|
Standard
$135
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 3 | 2 | 1 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Frequently asked questions
About Ivy
AI Data Quality Specialist | RLHF & Model Training Expert
Embu, Kenya - 5:22 pm local time
Look no further!
I provide high-fidelity training data for frontier AI models, specializing in complex edge cases where high accuracy is non-negotiable. With 2 years of experience. I bridge the gap between raw data and "Gold Standard" datasets.
My Core Technical Stack:
✔Computer Vision: CVAT/ Dataloop (Semantic Segmentation, Bounding Boxes).
✔AI Safety & RLHF: Auditing model reasoning, fact-checking hallucinations, and ranking model responses for logical consistency.
✔Fintech/OCR: High-precision document validation (W-9s, invoices) with a focus on PII redaction and Ground Truth verification.
Why Hire Me?
✔Proven Accuracy: 99.9% quality score across multi-million image projects.
✔Hybrid Value: ALX-certified VA discipline combined with deep technical annotation knowledge.
✔Operational Efficiency: I don't just label; I audit workflows and document edge cases to reduce model error rates.
Ready to scale your project with quality-first data? Let’s discuss your requirements!
Steps for completing your project
After purchasing the project, send requirements so Ivy can start the project.
Delivery time starts when Ivy receives requirements from you.
Ivy works on your project following the steps below.
Revisions may occur after the delivery date.
Guideline Review.
I study your project’s labeling handbook to understand specific edge cases (e.g., how to handle occluded car parts or overlapping crops)
Initial Batch & Feedback.
I process a small pilot batch to align on quality and visual standards.