Hire this AI Trainer
Sign in or create an account to invite AI Trainers to your job.
Text
Audio
Image
Document
Transcription
RLHF
Entity (NER) ClassificationAI Trainer & Data Annotation Specialist. Brings 11+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other, Micro1, and OpenTrain AI. Education includes Master's Degree, Michigan Technological University (2019) and Bachelor's Degree, Taita Taveta University (2013). AI-training focus includes data types such as Text, Audio, and Geospatial and labeling workflows including Evaluation, Rating, and Transcription.
Validated geospatial AI outputs to ensure accuracy and consistency. Developed QGIS workflows to enhance AI training and spatial reasoning capabilities. Improved dataset quality to optimize spatial AI system performance. • QA validation of geospatial AI outputs • Built QGIS workflows supporting AI training • Enhanced spatial reasoning datasets • Improved data quality for performance optimization
TextRLHFAnnotated and evaluated text and audio datasets to ensure accuracy and quality. Performed quality assurance reviews and documented failure patterns for continuous improvement. Improved clarity and consistency in multilingual datasets to strengthen data integrity. • Conducted text and audio annotation • Performed QA reviews and failure pattern documentation • Improved multilingual clarity and consistency • Supported dataset integrity for model training
TextEvaluated AI outputs for grammar, tone, reasoning, and contextual accuracy. Improved evaluation workflows resulting in increased efficiency. Identified recurring model errors and used findings to enhance dataset quality. • Assessed outputs for grammar and tone • Evaluated reasoning and contextual accuracy • Improved evaluation workflow efficiency • Analyzed recurring errors for dataset improvements
AudioEvaluated and improved AI-generated outputs across text, image, audio, and video domains. Designed structured prompts and evaluation scenarios to test AI reasoning and contextual understanding. Developed scoring rubrics and evaluation frameworks applying RLHF and RLAIF methodologies. • Built evaluation scenarios for reasoning and context • Created scoring rubrics for consistent assessments • Applied RLHF and RLAIF methods to evaluation • Improved multimodal dataset and output quality
ImageEntity (NER) ClassificationNo description provided.
Master's Degree, Geospatial Engineering / Data Science
Bachelor's Degree, Geomatics / Surveying Engineering
Linguistic Evaluation Specialist
Geospatial Analysis Specialist
