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Jeff M.

Jeff M.

AI Data Annotation Specialist | RLHF & Multimodal Data Labeling | Information Systems & Metadata Expert

Kenya flagNairobi, Kenya

Key Skills

Software

No software listed

Top Subject Matter

My strongest subject matter areas include information science
library systems
particularly metadata management
cataloguing
classification

Top Data Types

ImageImage
VideoVideo
TextText

Top Task Types

Text GenerationText Generation
Data CollectionData Collection
Text SummarizationText Summarization
Action RecognitionAction Recognition
Object DetectionObject Detection
Emotion RecognitionEmotion Recognition

Freelancer Overview

Detail oriented information and data management professional, with more than nine years on the job managing huge digital repositories, integrated library systems, and structured datasets. I’ve been doing a lot of work around data organization, metadata tagging classification cataloguing , digitization, quality assurance, and database administration. Mostly using KOHA, DSpace, SQL/PostgreSQL, Excel, and a few related tools. I’m comfortable with high-volume data workflows, keeping accuracy , and also staying consistent across thousands of records. When data issues pop up, I troubleshoot them, then I help others by explaining best practices and workflows in a way that users can actually follow. Also, I bring a good set of transferable skills for data annotation: text labeling, entity recognition, sentiment analysis, multimodal dataset preparation, RLHF preference ranking, safety reviews, and overall quality control. On the learning side, I have machine learning fundamentals, NLP basics, computer vision foundations, and I can assess data quality without much trouble. People also note my exceptional attention to detail, strong compliance with guidelines, analytical problem solving, and the ability to deliver accurate output even when workloads get demanding. Fluent in English and Swahili, and honestly I’m committed to supporting AI model development, through reliable high-quality data annotation and review.

Labeling Experience

Yes

Yes. I have experience in data labeling and AI training projects involving text, image, and metadata annotation. My work includes metadata tagging, classification, entity recognition, content categorization, quality assurance, and large-scale data management through digital repository and library systems. I have also completed AI-related annotation tasks such as text labeling, sentiment analysis, RLHF-style preference ranking, safety review, and multimodal dataset preparation. Additionally, I have experience working with structured and unstructured datasets, maintaining high data accuracy standards, and applying annotation guidelines consistently. My background in managing digital repositories and metadata-rich collections has provided strong transferable skills for AI data annotation and model training projects.

Not specified

Education

M

Moi University (2015, Second Class Honors Upper Division) and a Diploma in Computer Science from Intra-Global Training I

I hold a Bachelor of Science in Information Sciences (Library)

I hold a Bachelor of Science in Information Sciences (Library)
Not specified

Work History

M

machine learning and LLM training

Worked on large-scale AI data annotation projects involving text, image, and audio datasets

Location not specified
Not specified