Data Annotation & Multimodal QA Specialist | Project-based AI Programs - Remote
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LLM Trainer / AI Evaluation Specialist. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Remotasks, and Other. Education includes Residency, Faculty of Medicine, University of Belgrade and PhD Program, Faculty of Medical Sciences, University of Kragujevac (2021). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Classification.
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Reviewed text, screenshots, diagrams, document layouts, 2D images, 3D assets, point clouds, and mixed-media tasks against detailed specifications; converted instructions into consistent labels and taxonomies; validated JSON, CSV, HTML, PNG, and Markdown deliverables for completeness and grounding.
Multimodal annotation, taxonomy labeling, source mapping, structured data validation, and reproducible quality checks.
Clinical reasoning evaluation, factuality and safety assessment, rubric-based scoring, hallucination identification, reference-answer validation, and QA feedback.
Prompt and response annotation, ranking, correctness and relevance rating, structured-output review, instruction-following evaluation, and error analysis.
Doctor of Medicine, Medicine
PhD Program, Doctoral research in ophthalmology; influence of phacoemulsification on the corneal endothelium in patients with type 2 diabetes mellitus
Physician, Emergency Admission Service
Medical Translator