Darnell W.

Key Skills

Software

Don't disclose

Micro1

Appen

Top Subject Matter

Search engine evaluation and ads quality rating

AI content quality evaluation and specialized dataset labeling (robotics/perception)

Social media content annotation and moderation

Top Data Types

Text

Audio

Document

Top Task Types

Classification

Freelancer Overview

Search Engine Evaluator / Ads Quality Rater (TELUS Digital AI Data Solutions). Core strengths include Don't disclose, Micro1, and Appen. Education includes Bachelor’s Degree, University of Alabama, Birmingham (2019). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Search Engine Evaluator / Ads Quality Rater (TELUS Digital AI Data Solutions)

Don't discloseText

Remote evaluator assessing search results, ads, and related web content for relevance, accuracy, user-intent alignment, and policy compliance. Applied EWOQ/UPARC-style rating guidelines and E-E-A-T signal evaluation to improve search result quality and user satisfaction. Conducted specialized ad quality checks to identify deceptive, non-compliant, and harmful content with high accuracy consistency. • Rated search engine results, online advertisements, and web content using detailed rubrics • Performed web research for credibility, authority, and usefulness validation • Evaluated E-E-A-T (Expertise, Experience, Authority, Trustworthiness) signals in content • Analyzed user search intent patterns and cultural context for training-data improvements

2025 - Present

AI Model Evaluator / Content Quality Specialist (Micro1 AI Platform)

Micro1Text

Remote evaluator reviewing AI-generated content and model outputs for accuracy, relevance, and task-specification alignment. Applied nuanced judgment to edge cases using detailed evaluation rubrics across multiple domains, including reasoning and code-quality assessment. Participated in specialized robotics data labeling and perception model evaluation projects, providing expert human feedback to refine frontier AI models. • Evaluated AI-generated text and model outputs against requirements • Assessed complex reasoning quality and code quality/content generation • Supported specialized annotation projects for robotics and perception model evaluation • Completed high volumes of evaluation tasks while maintaining consistent quality

2024 - 2025

Social Media Evaluator / Data Annotator (RWS Group)

Don't discloseTextClassification

Remote social media evaluator labeling and reviewing social content to support AI model performance and content moderation systems. Assessed cultural relevance, tone, and policy compliance while following complex annotation and evaluation guidelines with minimal supervision. Maintained consistent, accurate labels across fast-paced, deadline-driven tasks to improve NLP and machine learning outcomes. • Reviewed and labeled social media content for moderation and model training • Evaluated cultural relevance, linguistic tone, and policy compliance • Annotated datasets with high precision to support ML/NLP systems • Ensured labeling consistency and accuracy under time constraints

2024 - 2024

AI Training Data Contributor / Content Annotator (CrowdGen by Appen)

AppenTextClassification

Remote AI training data contributor completing annotation tasks for content labeling, sentiment analysis, and quality assessment. Evaluated AI-generated responses, chatbot interactions, and model outputs across diverse content categories. Annotated multimedia content types (images, text, and audio) while adhering to consistent labeling standards in Appen’s Data Annotation Platform. • Completed AI training annotations including content labeling and sentiment analysis • Evaluated chatbot interactions and model outputs for quality and alignment • Labeled multimedia content (images, text, audio) to support ML/AI accuracy • Applied Appen ADAP labeling standards consistently across tasks

2023 - 2024

Education

Work History