Diana Gakii
@dianagakii
AI & Data Operations specialist focused on data annotation, model QA, and document intelligence.
What I'm looking for
I am an AI & Data Operations specialist with practical experience supporting machine learning and document intelligence projects for global companies including Meta and OpenAI. I focus on data annotation, transcription, and NLP-based quality assurance to improve model accuracy and contextual understanding.
My work includes annotating and structuring multilingual datasets, reviewing layout-based AI outputs, and evaluating LLM-generated responses for clarity and factual precision. I collaborate with ML engineers to optimize text normalization, data pipelines, and retrieval-augmented generation (RAG) evaluation.
I bring strong Python skills (Pandas, NumPy, SpaCy) and hands-on familiarity with LayoutLM, Donut, DocFormer, OCR tools, and labeling platforms. I document annotation guidelines, automate QA processes, and prioritize detail-oriented, research-driven approaches to building reliable AI systems.
Experience
Work history, roles, and key accomplishments
Technical Writer & Editor
Erudite Writers
Jan 2019 - Present (6 years 11 months)
Authored and edited technical and academic documentation and produced annotation guides, workflow instructions, and model evaluation summaries to support AI teams' data processes.
AI Data Specialist
Meta
Jan 2024 - Dec 2025 (1 year 11 months)
Annotated and structured multilingual datasets for speech and document AI training, improving OCR accuracy and contextual labeling quality and collaborated with ML engineers to optimize text normalization and pipeline consistency.
Evaluated and edited AI-generated responses for clarity and factual precision and contributed to RAG system QA by comparing human-written and model outputs to improve document-based reasoning.
Data Annotator
Remotask
Jan 2023 - Dec 2023 (11 months)
Annotated image, text, and form datasets for vision–language and document AI models, mapping entities, bounding boxes, and key-value pairs while maintaining cross-annotator consistency.
Education
Degrees, certifications, and relevant coursework
Kenyatta University
Bachelor of Science, Dry Land Agriculture and Enterprise Development
Pursuing a Bachelor of Science in Dry Land Agriculture and Enterprise Development with expected completion in 2025, focusing on agriculture and enterprise development concepts applicable to dryland contexts.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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