Obinna Okechukwu

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Text

Video

Top Label Types

Classification

Action Recognition

Freelancer Overview

I am a Computer Engineering student with hands-on experience in technical documentation, structured analysis, and translating complex system behaviors into clear, organized outputs. My background includes working with computer hardware, analyzing smart contract logic, and producing detailed technical reports—skills that have honed my attention to detail and accuracy, both of which are essential for data labeling and annotation tasks. I am comfortable working independently, applying logical reasoning to identify patterns and inconsistencies, and using tools like Git for version control. My ability to learn new domains quickly and communicate technical findings clearly makes me well-suited to contribute to AI training data projects, ensuring data quality and consistency for machine learning applications.

Labeling Experience

AI Training Contributor — Atlas Capture

Don T DiscloseVideoClassificationAction Recognition

Carried out structured data capture and content annotation tasks adhering to specific platform guidelines. Reviewed and validated AI-generated outputs for correctness, ensuring expected model behavior and policy alignment. Delivered consistent, accurate results on time-sensitive assignments with minimal supervision. • Detected subtle errors and inconsistencies in generated content • Followed rule-based frameworks to ensure annotation quality • Managed independent workload efficiently within tight deadlines • Demonstrated strong attention to detail during annotation and review

Carried out structured data capture and content annotation tasks adhering to specific platform guidelines. Reviewed and validated AI-generated outputs for correctness, ensuring expected model behavior and policy alignment. Delivered consistent, accurate results on time-sensitive assignments with minimal supervision. • Detected subtle errors and inconsistencies in generated content • Followed rule-based frameworks to ensure annotation quality • Managed independent workload efficiently within tight deadlines • Demonstrated strong attention to detail during annotation and review

2025 - 2025

AI Training Contributor — Outlier AI

Scale AITextClassification

Contributed to dataset labeling and review following detailed annotation guidelines across various task types. Evaluated AI-generated outputs for accuracy, relevance, and policy compliance, providing corrective feedback to improve model performance. Maintained high accuracy rates and quality standards while meeting volume requirements within restricted timeframes. • Conducted consistency checks on repetitive and long-form annotation tasks • Identified edge cases and flagged non-conforming responses • Applied complex instructions and provided structured feedback • Improved model outputs through meticulous annotation and review

Contributed to dataset labeling and review following detailed annotation guidelines across various task types. Evaluated AI-generated outputs for accuracy, relevance, and policy compliance, providing corrective feedback to improve model performance. Maintained high accuracy rates and quality standards while meeting volume requirements within restricted timeframes. • Conducted consistency checks on repetitive and long-form annotation tasks • Identified edge cases and flagged non-conforming responses • Applied complex instructions and provided structured feedback • Improved model outputs through meticulous annotation and review

2025 - 2025

Education

Work History