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CVAT
Labelbox
Label Studio
Scale AI
SuperAnnotateNo subject matter listed
Audio
Text
Video
Audio Recording
Entity (NER) Classification
Object Detection
TrackingHighly detailed-oriented and technically proficient AI Trainer specializing in high-impact datasets for advanced Machine Learning applications. Proven expertise in applying complex annotation guidelines across diverse data types, with a focus on achieving exceptional data quality and consistency. Core Areas of Expertise -Computer Vision and Autonomous Systems -LLM Evaluation, Multi-turn dialogue annotation -Domain-Specific Labeling.
Label Studio
Document
Bounding Box
PolygonIdentified and classified named entities (e.g., dates, currency, clauses parties), and extracted semantic relationships between them to structure complex, unstructured data.
CVAT
ImageBounding Box
SegmentationPerformed high-precision, pixel-level Keypoint Annotation on 3,000+ anonymized X-rays. task required marking specific anatomical bone landmarks (e.g., joint centers, fracture sites) to train an AI for automated medical measurement and detection.
LabelboxImageSegmentationExecuted high-precision pixel-level segmentation on 7,500+ diverse urban scenes, Meticulously labeled 25+ distinct object classes(e.g., road structure, fine occlusion, dynamic objects) to achieve a sustained quality rating of 92% accuracy for environmental perception models
Text
RLHFProvided human feedback and preference ranking on 12,000+ multi-turn conversational outputs. Task involved deep linguistic analysis, assessing responses for clarity, factual correctness, helpfulness, and adherence to complex safety guidelines.
Diploma, IT Studies
NQF Level 4, Matric
Logistic Assistant
IT Support & Data Assistant
