Emmanuel O.

Key Skills

Software

Scale AI

Other

Top Subject Matter

AI/ML training data (text classification, sentiment analysis, and content evaluation)

Healthcare data quality assurance and structured data preparation

Legal Services & Contract Review

Top Data Types

Text

Document

Top Task Types

Classification

Data Collection

Freelancer Overview

Data Annotator (Freelance) — Scale AI (Remote). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI and Other. Education includes Bachelor of Science, University of Lagos (UNILAG) (2026). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Classification and Data Collection.

Labeling Experience

Data Annotator (Freelance) — Scale AI (Remote)

Scale AITextClassification

Performed text classification and content evaluation to support AI/ML model training tasks. Reviewed AI-generated outputs for accuracy, coherence, and compliance with task-specific annotation guidelines. Flagged ambiguous or low-quality samples for further review to improve dataset reliability. • Labeled examples according to provided instructions and rubrics • Evaluated responses against quality benchmarks and coherence criteria • Identified unclear cases and escalated them for correction • Maintained consistency across high-volume annotation workflows

2025 - Present

Health Information Manager — Babington Medical Centre (Lagos, Nigeria)

OtherData Collection

Collected, organised, and validated large volumes of patient data for reporting and analysis purposes. Conducted quality checks to identify inconsistencies, duplicates, and errors, supporting accurate downstream dataset usage. Coordinated with clinical staff to standardise data entry and documentation practices for data integrity. • Validated medical records for completeness and consistency • Performed dataset QC to detect anomalies and errors • Supported standardised documentation across departments • Prepared structured outputs for research and reporting workflows

2025 - 2026

Education

Work History