Oriolowo T.

Key Skills

Software

Other

Top Subject Matter

Quality assurance and standards compliance (supporting AI annotation guideline adherence)

Administrative data management (record keeping aligned to dataset organization)

Legal Services & Contract Review

Top Data Types

Text

Document

Top Task Types

Data Collection

Freelancer Overview

Quality Assurance Support Officer (Intern) — guideline adherence and evaluation support (2017–2019). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, Adekunle Ajasin University (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

SIWES Student Academic Affairs Office — structured data entry and records management (2023)

OtherTextData Collection

Managed and maintained accurate student records through high-volume data entry, organization, and retrieval workflows that support data integrity practices for labeling pipelines. Coordinated cross-departmental processes using structured procedures to ensure consistent documentation and timely access to information. Demonstrated attention to detail and file management discipline aligned with maintaining clean datasets for downstream AI tasks. • Performed systematic data entry for student academic records. • Organized and retrieved files in a high-volume administrative environment. • Coordinated cross-departmental workflows using standardized steps. • Maintained data integrity through accurate record handling and documentation.

2023 - 2023

Quality Assurance Support Officer (Intern) — guideline adherence and evaluation support (2017–2019)

Text

Performed systematic QA inspections to verify that processes met required standards, enabling consistent guideline adherence relevant to AI training annotations. Maintained accurate compliance records and reports to support data integrity and traceability for evaluation and preference-style workflows. Evaluated outputs objectively and flagged errors to improve overall quality and reliability of training datasets. • Monitored labeling/packaging and production process adherence as an analog to annotation guideline compliance. • Conducted routine inspections and quality checks to detect inconsistencies. • Prepared and maintained compliance documentation and QA reports. • Applied structured evaluation habits for error identification and quality improvement.

2017 - 2019

Education

Work History