Shavaughn Robinson

Key Skills

Software

Lionbridge

Mercor

Telus

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Video

Top Task Types

Bounding Box

Classification

Emotion Recognition

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

As a search quality rater, I annotated and rated search engine results to support machine learning model refinement and user experience optimization. I have experience in identifying and annotating audio, image, and video clips to help with the development of safe and reliable AI systems.

Labeling Experience

Online Data Analyst

TelusTextText SummarizationEvaluation Rating

Evaluates and annotates online data to improve the accuracy and performance of AI-driven search algorithms and language models. Contributes linguistic and cultural insights to optimize model training for localized AI systems. Labels and classifies datasets according to defined taxonomies, ensuring data consistency and compliance with project guidelines.

Evaluates and annotates online data to improve the accuracy and performance of AI-driven search algorithms and language models. Contributes linguistic and cultural insights to optimize model training for localized AI systems. Labels and classifies datasets according to defined taxonomies, ensuring data consistency and compliance with project guidelines.

2025

Data Annotation Expert

MercorImageQuestion AnsweringFine Tuning

Identifies and annotates audio, image, video clips to help with the development of safe and reliable multimodal AI systems. Creates and evaluates prompts to ensure that models learn to produce accurate, consistent, and human-aligned outputs.

Identifies and annotates audio, image, video clips to help with the development of safe and reliable multimodal AI systems. Creates and evaluates prompts to ensure that models learn to produce accurate, consistent, and human-aligned outputs.

2025

Search Quality Rater

LionbridgeTextRelationshipClassification

Annotated and rated search engine results to support machine learning model refinement and user experience optimization. Identified biases, misinformation, and low-quality data to improve AI content filtering and ranking accuracy.

Annotated and rated search engine results to support machine learning model refinement and user experience optimization. Identified biases, misinformation, and low-quality data to improve AI content filtering and ranking accuracy.

2025 - 2025

Education

Work History