Nelson H.

Key Skills

Software

Other

Top Subject Matter

AI language and multimedia training data (text, audio, and visual)

English/Igbo language data for NLP and speech recognition

Digital content evaluation for AI training quality

Top Data Types

Text

Audio

Video

Image

Top Task Types

Transcription

Freelancer Overview

AI Data Specialist & Content Evaluator (Freelance / Various AI & Digital Projects). Core strengths include Other. AI-training focus includes data types such as Text, Audio, and Video and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

Digital Content Reviewer & Quality Assurance Specialist (Various Organizations)

OtherVideo

Reviewed and refined large volumes of digital content using structured evaluation and labeling criteria. Identified and corrected errors to ensure the dataset met strict quality standards for AI readiness. Applied objective judgment to improve consistency across training inputs. • Performed quality assurance and error correction on digital content • Applied labeling/evaluation criteria for consistency • Verified content suitability for AI training pipelines • Maintained accuracy through sustained visual and auditory review

2018 - Present

AI Data Specialist & Content Evaluator (Freelance / Various AI & Digital Projects)

OtherText

Provided content evaluation and supervised labeling for AI model improvement across guideline-driven tasks. Performed quality assurance checks to ensure accuracy, consistency, and rubric compliance for submitted annotations. Reviewed and refined language-related outputs to support downstream training effectiveness. • Annotated and evaluated large volumes of text content • Checked labels against project guidelines and rubrics • Captured language nuances and error patterns • Ensured consistent scoring/ratings for training readiness

2017 - Present

Language Data Specialist & Annotator (Freelance)

OtherAudioTranscription

Created and reviewed linguistic datasets in English and Igbo for AI and digital applications. Applied precise transcription and labeling techniques to support NLP and speech recognition model development. Maintained high accuracy and inter-annotator consistency while performing repetitive annotation tasks. • Labeled and transcribed text and audio linguistic data • Categorized and tagged examples for training pipelines • Validated quality and consistency for annotated datasets • Supported natural language processing and speech recognition objectives

2015 - Present

Education

Work History