Video labeling
Categorizing human interactions with object into dense and coarse action labels to support machine learning behavior models.
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AI Data Annotation & Training Specialist – Video Annotation. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Federal University of Technology Owerri (2022). AI-training focus includes data types such as Video, Image, and Audio and labeling workflows including Action Recognition, Bounding Box, and Audio Recording.
Categorizing human interactions with object into dense and coarse action labels to support machine learning behavior models.
I completed text annotation exercises including NER, intent classification, sentiment labeling, and instruction-following quality assessment using public AI training documentation. I evaluated and ranked AI-generated responses for correctness, helpfulness, tone, and safety, simulating RLHF feedback workflows. I annotated image datasets for object detection and region segmentation, ensuring consistent standards across batches. • Applied real-world annotation guidelines for diverse NLP tasks. • Conducted RLHF-style LLM output evaluation for simulated feedback. • Performed object detection and segmentation on image datasets as practice. • Maintained a personal prompt engineering log with 30+ tested prompts.
Bachelor of Science, Electrical Electronic Engineering
Technical Writer and Research Analyst
Freelance Technical Writer and Research Analyst