Owoyele Amos
@owoyeleamos
Data Annotation Specialist specializing in accurate multimodal labeling for AI model training and evaluation.
What I'm looking for
I’m a results-driven Data Annotation Specialist supporting AI and machine learning systems through high-quality labeling of text, image, audio, and video datasets. I’m known for delivering high-accuracy outputs under tight deadlines, with strong expertise in guideline interpretation, quality assurance, and large-scale data processing.
Since December 2024, I’ve worked remotely to annotate and process large-scale multimodal datasets for AI model training and evaluation, consistently aiming for 95%+ accuracy while meeting strict delivery timelines. I use tools like Label Studio and CVAT for bounding box annotation, classification, tagging, and segmentation, and I conduct quality assurance reviews to resolve inconsistencies—so datasets remain consistent, reliable, and performance-ready.
Experience
Work history, roles, and key accomplishments
Data Annotation Specialist
Remote
Dec 2024 - Present (1 year 5 months)
Annotate and process large-scale multimodal datasets (text, image, audio, video) for AI model training and evaluation, consistently meeting high-accuracy targets (95%+). Apply complex annotation guidelines across projects and perform QC reviews to resolve inconsistencies and improve dataset reliability.
Education
Degrees, certifications, and relevant coursework
Ladoke Akintola University of Technology
Bachelor of Technology, Agricultural Science
2020 -
Began a B.Tech in Agricultural Science at Ladoke Akintola University of Technology in Ogbomosho, Nigeria in 2020.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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