University of New Mexico
Bachelor of science in statistics and computing, statistics
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CHRISTOPHER FERNANDEZ Albuquerque, New Mexico, USA Email: [email protected] PROFESSIONAL SUMMARY Detail-oriented AI Data Annotator with experience in transcription, content evaluation, data validation, and conversational data analysis. Skilled in reviewing, labeling, and annotating text and audio data to support artificial intelligence and machine learning systems. Strong understanding of data quality standards and content review processes. Adept at identifying patterns, ensuring consistency, and maintaining high levels of accuracy in remote work environments. CORE COMPETENCIES • AI Data Annotation & Labeling • Large Language Model (LLM) Training Support • Data Quality Assurance & Validation • Audio Transcription & Transcript Review • Conversational Data Analysis • Content Evaluation & Classification • Attention to Detail & Accuracy • Data Verification & Quality Control • Research & Documentation • English Language Proficiency • Remote Collaboration Tools • Problem Solving & Critical Thinking PROFESSIONAL EXPERIENCE Freelance AI Data Annotation & Transcription Specialist Remote | 2024 – Present • Annotate and review text, audio, and conversational datasets for AI training purposes. • Evaluate content quality, relevance, accuracy, and consistency according to project guidelines. • Correct machine-generated transcripts and ensure compliance with annotation standards. • Identify patterns, contextual meaning, and inconsistencies within datasets. • Maintain high an
Bachelor of science in statistics and computing, statistics
Freelance AI Data Annotation & Transcription Specialist