Olusola Oyetoyan

Key Skills

Software

Scale AI

Appen

Remotasks

Toloka

Top Subject Matter

AI language models

general content moderation

English text

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Classification

Entity (NER) Classification

Freelancer Overview

AI Training Contributor (RLHF, text evaluation, rating, instruction following). Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Appen, and Remotasks. Education includes Bachelor of Business Administration, Caleb University. AI-training focus includes data types such as Text and Image and labeling workflows including RLHF, Classification, and Entity (NER) Classification.

Labeling Experience

AI Content Reviewer & Evaluator (long-form, instruction rating)

Text

Provided expert-level reviews and evaluations for AI-generated long-form content and complex instructions. Focused on quality assessment, feedback, and improvement of model responses for AI systems. Ensured all outputs met clear accuracy, coherence, and safety standards. • Evaluated long-form written responses and instruction-following outputs • Delivered structured feedback on accuracy and helpfulness • Collaborated in developing evaluation rubrics for content quality • Maintained extensive quality review documentation and evidence logs

Provided expert-level reviews and evaluations for AI-generated long-form content and complex instructions. Focused on quality assessment, feedback, and improvement of model responses for AI systems. Ensured all outputs met clear accuracy, coherence, and safety standards. • Evaluated long-form written responses and instruction-following outputs • Delivered structured feedback on accuracy and helpfulness • Collaborated in developing evaluation rubrics for content quality • Maintained extensive quality review documentation and evidence logs

2023 - Present

AI Training Contributor (RLHF, text evaluation, rating, instruction following)

Scale AITextRLHF

Contributed to large language model training by evaluating, ranking, and reviewing AI-generated text responses. Tasks included writing prompt-response pairs, rating helpfulness and safety, and providing structured feedback. Emphasized high-quality English communication and adherence to project guidelines. • Performed labeling tasks such as content moderation and sentiment analysis • Conducted relevance rating, intent labeling, and text classification • Collaborated on instruction following and instruction quality review • Maintained detailed annotation notes and quality comments

Contributed to large language model training by evaluating, ranking, and reviewing AI-generated text responses. Tasks included writing prompt-response pairs, rating helpfulness and safety, and providing structured feedback. Emphasized high-quality English communication and adherence to project guidelines. • Performed labeling tasks such as content moderation and sentiment analysis • Conducted relevance rating, intent labeling, and text classification • Collaborated on instruction following and instruction quality review • Maintained detailed annotation notes and quality comments

2022 - Present

Text Data Annotator (NER, entity tagging, moderation)

TolokaTextEntity Ner Classification

Labeled entities, detected anomalies, and performed content moderation for diverse English language datasets via a global crowd platform. Applied structured rule-based criteria to ensure tagging accuracy in named entity recognition projects. Assisted in data verification and flagging suspicious data patterns. • Conducted entity tagging for English text annotation projects • Managed content moderation and quality control • Performed anomaly detection and pattern recognition • Ensured compliance with annotation guidelines and standards

Labeled entities, detected anomalies, and performed content moderation for diverse English language datasets via a global crowd platform. Applied structured rule-based criteria to ensure tagging accuracy in named entity recognition projects. Assisted in data verification and flagging suspicious data patterns. • Conducted entity tagging for English text annotation projects • Managed content moderation and quality control • Performed anomaly detection and pattern recognition • Ensured compliance with annotation guidelines and standards

2022 - 2023

Data Labeling Specialist (text classification, sentiment analysis, QA)

AppenTextClassification

Labeled and annotated various text-based data types including sentiment, intent, and entity recognition for machine learning datasets. Used multiple platforms to ensure high annotation quality and consistent documentation. Reviewed structured data entries and performed quality assurance for labeled outputs. • Executed tasks such as text classification, sentiment analysis, and content moderation • Conducted web page categorization and search relevance rating • Verified and cross-referenced structured data and queries • Maintained accurate documentation for audit and quality control

Labeled and annotated various text-based data types including sentiment, intent, and entity recognition for machine learning datasets. Used multiple platforms to ensure high annotation quality and consistent documentation. Reviewed structured data entries and performed quality assurance for labeled outputs. • Executed tasks such as text classification, sentiment analysis, and content moderation • Conducted web page categorization and search relevance rating • Verified and cross-referenced structured data and queries • Maintained accurate documentation for audit and quality control

2021 - 2023

Image Data Labeling & QA Reviewer

RemotasksImageClassification

Performed image labeling and categorization tasks for computer vision model training using remote crowdsourcing tools. Focused on QA reviews to ensure accurate labeling of diverse image datasets. Managed annotation consistency across batches and maintained high attention to detail. • Carried out image labeling and categorization assignments • Ensured labeling accuracy via quality review checks • Collaborated on batch-level annotation consistency • Documented labeling decisions and feedback for process improvement

Performed image labeling and categorization tasks for computer vision model training using remote crowdsourcing tools. Focused on QA reviews to ensure accurate labeling of diverse image datasets. Managed annotation consistency across batches and maintained high attention to detail. • Carried out image labeling and categorization assignments • Ensured labeling accuracy via quality review checks • Collaborated on batch-level annotation consistency • Documented labeling decisions and feedback for process improvement

2020 - 2022

Education

Work History