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Project details
You will receive high-quality, guideline-accurate data annotation designed to train reliable and responsible AI models. I work as a Data Annotator and AI Training Data Analyst on real-world computer vision projects, where precision, consistency, and quality control are critical.
I specialize in annotating images and videos, identifying objects, actions, and behavioral patterns, and transforming raw data into clean, structured, model-ready datasets. I don’t rush or guess—every label is placed with intent, and every edge case is handled carefully to avoid noise in your model.
What sets my work apart is a strong focus on accuracy, guideline compliance, and quality assurance. I review my own annotations thoroughly before delivery and communicate clearly if instructions or data are ambiguous. This reduces rework, saves time, and improves model performance.
Whether you’re building a prototype or scaling a production-level AI system, I treat your data with responsibility and respect. Clients value me for being reliable, detail-oriented, and easy to work with.
If you need annotation that your AI can truly learn from, you’re in the right place.
I specialize in annotating images and videos, identifying objects, actions, and behavioral patterns, and transforming raw data into clean, structured, model-ready datasets. I don’t rush or guess—every label is placed with intent, and every edge case is handled carefully to avoid noise in your model.
What sets my work apart is a strong focus on accuracy, guideline compliance, and quality assurance. I review my own annotations thoroughly before delivery and communicate clearly if instructions or data are ambiguous. This reduces rework, saves time, and improves model performance.
Whether you’re building a prototype or scaling a production-level AI system, I treat your data with responsibility and respect. Clients value me for being reliable, detail-oriented, and easy to work with.
If you need annotation that your AI can truly learn from, you’re in the right place.
What's included
| Service Tiers |
Starter
$25
|
Standard
$50
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 10 days | 20 days | 30 days |
Number of Revisions | 1 | 3 | 4 |
Number of Model Variations | 5 | 10 | 9 |
Number of Scenarios | 67 | 102 | 41 |
Number of Graphs/Charts | 9 | 3 | 7 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code |
Frequently asked questions
About Ruby
Aspiring Data Scientist | Data Analyst | Problem Solver
New Delhi, India - 9:27 am local time
I follow guidelines precisely, handle edge cases carefully, and maintain high accuracy even in complex or ambiguous scenarios. My work supports machine learning models by transforming raw data into clean, structured, and reliable training data.
I’m detail-oriented, disciplined, and comfortable working with large volumes of data under quality benchmarks. Clear communication, timely delivery, and respect for data integrity are non-negotiables for me.
If you need dependable, high-quality data annotation that helps AI learn the right way—I’m ready to contribute.
Steps for completing your project
After purchasing the project, send requirements so Ruby can start the project.
Delivery time starts when Ruby receives requirements from you.
Ruby works on your project following the steps below.
Revisions may occur after the delivery date.
Review Guidelines & Data
I carefully review project instructions, label definitions, and sample data to fully understand expectations and edge cases.
Data Annotation
I annotate images or videos precisely according to guidelines, ensuring accuracy, consistency, and correct handling of ambiguous scenarios.