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Tiffany B.
@wembrix
AI Data Annotation, LLM Response Evaluation Specialist
Nigeria
Englisch, Französisch, Spanisch
Über mich
Data Annotation & AI Response Evaluation Specialist.
I help AI teams, researchers, and developers build reliable models with clean, guideline-compliant datasets.
Core Expertise:
• CV Annotation: 2D Bounding Boxes, Polygons, Segmentation in CVAT
• LLM Evaluation: Factuality, Safety, Relevance & Instruction-Following
• Quality Control: Error taxonomy, multi-pass validation, strict guidelines
Tools: CVAT, Excel, Roboflow | Outputs: YOLO, COCO, JSON, CSV
Dedicated to 100% human-in-the-loop precision. Message me to review your guidelines or run a pilot test!
Kompetenzen
Tiffany B.
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
Benutzerdefinierte Websites
I will bubble io bubble developer bubble website bubble mvp bubble app bubble saas
Datenlabeling & -annotation
I will do image annotation, segmentation, bounding box, text labelling and cvat for ml
Portfolio
Arbeitserfahrung
Dataset Quality Assurance & Guideline Development
Upwork • Freiberufler
Jan 2026 - May 2026 • 4 mos
Authored comprehensive Standard Operating Procedures (SOPs) and visual edge-case labeling guidelines. • Conducted dataset quality audits, calculating error rates and label consistency metrics. • Remediated noisy annotations, eliminating label drift to deliver verified, training-ready ground truth. Tools: CVAT, Roboflow, Microsoft Excel, Google Sheets.
Computer Vision & Segmentation in CVAT
Fiverr • Freiberufler
Jan 2025 - May 2026 • 1 yr 4 mos
Performed pixel-accurate 2D bounding boxes and multi-vertex polygon segmentation in CVAT. • Managed occlusion, truncation, and class attribute tagging for multi-class detection datasets. • Exported and validated datasets in YOLOv8 (.txt), COCO (.json), and Pascal VOC (.xml) formats. Tools: CVAT, Roboflow, Microsoft Excel, Google Sheets.
Healthcare AI Safety & Clinical Guideline Audit
Upwork • Freiberufler
Sep 2025 - Dec 2025 • 3 mos
Evaluated synthetic clinical chatbot responses against patient communication and clinical safety guidelines. • Audited high-risk medical prompts (contraindications, emergency triage, dosage inquiries). • Classified safety risks across a 3-tier severity matrix (Critical, Moderate, Minor) with audit logging. Tools: CVAT, Roboflow, Microsoft Excel, Google Sheets.
