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Appen
Clickworker
Data Annotation Tech
Mindrift
Remotasks
Scale AI
LabelboxNo subject matter listed
Image
Text
Video
Action Recognition
Audio Recording
Data Collection
Text Generation
Translation/LocalizationI’ve been involved in AI training and data labeling for over three years, working on various platforms like Appen, Remotasks, and TELUS International. My work includes text classification, image tagging, prompt evaluation for LLMs, and content moderation. I’ve helped improve chatbot responses, search engine accuracy, and computer vision models through consistent and high-quality annotations. What sets me apart is my attention to detail, ability to follow complex guidelines, and strong communication skills. I’ve maintained top performance scores in past projects and hold a degree in Computer Science. I’m also certified in Prompt Engineering and have real-world experience mentoring others in AI-related work through volunteer programs like AI Club Nigeria.
Labeled 10,000+ hectares of farmland for crop health analysis. Annotated disease hotspots, irrigation leaks, and growth stages using NDVI layers. Maintained <2% error rate via satellite-ground truth alignment.
Labeled 85,000+ images for urban object detection. Tasks included identifying vehicles, pedestrians, traffic signs, and road obstacles. Applied pixel-perfect segmentation for drivable areas. Project followed ISO 26262 safety standards, with 95%+ inter-annotator agreement (IAA) achieved via iterative QA rounds.
Annotated 15M+ vibration/temperature datapoints from factory equipment. Labeled failure precursors (e.g., bearing wear, overheating) with millisecond precision. Used SME-validated rules for noise filtering.
Bachelor of Science, Computer Science
Content Quality Rater
