Summary
Overview
Work History
Education
Skills
Timeline
Generic

William Robinson

Mesa,AZ

Summary

Results-driven AI Data Trainer with expertise in large-scale data annotation and AI response evaluation. Focused on enhancing model accuracy and optimizing NLP outputs through rigorous data management and quality assurance. Demonstrated ability to deliver impactful results in AI training projects. Open to remote roles in AI training, data analysis, and model evaluation.

Overview

4
4
years of professional experience

Work History

Advanced AI Data Trainer

Appen Inc.
Albany, GA
01.2025 - Current
  • Annotated and labeled high-volume datasets for NLP tasks including sentiment analysis, intent detection, and classification.
  • Evaluated AI-generated responses for accuracy, safety, and contextual relevance, enhancing model reliability.
  • Identified and corrected inconsistencies to reduce hallucinations and enhance output quality.
  • Conducted quality assurance checks to maintain high data accuracy standards.
  • Collaborated with global teams to refine annotation guidelines and streamline workflow efficiency.
  • Contributed to AI model training by delivering high-quality structured data inputs.

Freelance AI Data Annotator

Remote Projects — Self-Employed
Juneau, AK
01.2022 - Current
  • Completed multiple text, audio, and image annotation projects for startups and AI research teams.
  • Ensured high-quality labeling, adhering to client-specific annotation guidelines.
  • Performed data cleaning, categorization, and error correction, improving dataset usability.
  • Delivered annotated datasets on schedule, consistently receiving positive client feedback.

Junior AI Data Specialist

Lionbridge Technologies — Remote
Mesa, Washington
07.2023 - 12.2023
  • Labeled 50,000+ multilingual text and audio samples for speech recognition and NLP models, enhancing model training quality.
  • Conducted AI response testing to assess model performance and pinpoint understanding gaps, contributing to model refinement.
  • Developed guidelines and cheat sheets for annotators to improve labeling consistency and efficiency.
  • Performed data validation and error detection, reducing dataset inconsistencies by 12%.
  • Collaborated with AI researchers to refine datasets for machine learning experiments, improving dataset relevance and accuracy.

Education

Bachelor in Data Analytics - Artificial Intelligence

Maricopa Community College System
AZ
03-2022

Skills

  • AI data annotation and labeling
  • Natural language processing
  • AI evaluation and quality assurance
  • Machine learning support
  • Model performance evaluation
  • Data quality assurance
  • Data analysis and interpretation
  • Data-driven innovation
  • Critical thinking and problem solving
  • Attention to detail
  • Remote collaboration
  • Problem solving

Timeline

Advanced AI Data Trainer

Appen Inc.
01.2025 - Current

Junior AI Data Specialist

Lionbridge Technologies — Remote
07.2023 - 12.2023

Freelance AI Data Annotator

Remote Projects — Self-Employed
01.2022 - Current

Bachelor in Data Analytics - Artificial Intelligence

Maricopa Community College System
William Robinson