Obong P.

Key Skills

Software

Don't disclose

Top Subject Matter

Public health operations / administrative records

Industrial training operations / logistics logs

Legal Services & Contract Review

Top Data Types

Document

Text

Top Task Types

Data Collection

Freelancer Overview

HR & Administrative Personnel (NYSC) | APIN Public Health Initiative (2024–2025). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Engineering, Federal University of Petroleum Resources, Effurun (2023). AI-training focus includes data types such as Document and labeling workflows including Data Collection, Evaluation, and Rating.

Labeling Experience

HR & Administrative Personnel (NYSC) | APIN Public Health Initiative (2024–2025)

Don't discloseDocumentData Collection

Performed high-accuracy staff record keeping and documentation work aligned with dataset QA and verification practices. Applied consistent rule-following to ensure compliance, supporting reliable labeling outputs. Managed inventory documentation and reporting systems that function as structured tracking and version control for records. • Maintained comprehensive staff records with accuracy suitable for QA workflows • Coordinated scheduling and inter-departmental communication to support structured data operations • Monitored policy compliance using operational checklists and consistent procedures • Managed inventory documentation and reporting analogous to dataset tracking

2024 - 2025

Operations Officer (Industrial Training) | Matrix Energy Limited (2021)

Don't discloseDocument

Recorded daily product movement data and maintained structured operational logs with strict error tolerance, supporting precision requirements common in data labeling. Conducted systematic equipment checks using step-by-step verification protocols similar to labeling quality review. Produced daily operational reports that reinforce habits of consistent, structured, and auditable data output. • Logged daily product movement data with zero tolerance for errors • Followed step-by-step verification protocols mirroring annotation QA checks • Generated daily operational reports to maintain consistent structured outputs • Coordinated multi-party communications to keep data accurate across an operational pipeline

2021 - 2021

Education

Work History