Adeniyi O.

Key Skills

Software

Other

Top Subject Matter

AI content evaluation and model response review

Data labeling practice and categorization

Online research

Top Data Types

Text

Document

Top Task Types

Classification

Data Collection

Freelancer Overview

AI Content Evaluation Practice (Project/Practice). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Google Docs & Microsoft Word. Education includes Senior Secondary School Certificate (SSCE), Senior Secondary School (Unspecified). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Freelance Remote Worker (2024–Present)

TextData Collection

Performed remote online research and information verification by cross-checking details from multiple sources. Reviewed written content for clarity, accuracy, and compliance with provided guidelines to maintain quality standards. Completed data entry and organization tasks with a focus on accuracy and consistent presentation. • Conducted internet research and source verification • Checked content for clarity, accuracy, and compliance • Completed data entry and organization with high accuracy • Worked independently in a remote environment and met deadlines

2024 - Present

Data Annotation Practice (Project/Practice)

OtherTextClassification

Labeled and categorized information according to predefined instructions for data annotation practice. Maintained consistency across tasks by following the same labeling rules for each item. Applied attention to detail to reduce mistakes and preserve label quality across datasets. • Followed predefined labeling instructions • Applied consistent categorization rules • Reviewed work for accuracy and attention to detail • Supported dataset quality through careful annotation

2024 - Present

AI Content Evaluation Practice (Project/Practice)

OtherText

Conducted AI-generated response evaluations by checking relevance, accuracy, and helpfulness against expected standards. Flagged factual, grammatical, and logical problems in generated content and provided corrective feedback. Performed quality checks to ensure outputs aligned with provided guidelines and requirements. • Assessed response quality criteria (relevance, accuracy, helpfulness) • Identified factual, grammatical, and logical errors • Ensured guideline compliance during review • Produced feedback for improved AI performance

2024 - Present

Education

Work History