Emmanuel Odumah
@emmanuelodumah1
I annotate video and audio datasets accurately for AI and machine-learning projects.
What I'm looking for
At Senicom, I annotate video data for AI and machine-learning datasets, reviewing footage frame by frame to identify, classify, and label objects accurately.
I've built hands-on experience with CVAT and Label Studio across bounding boxes, object tracking, image and video classification, audio and voice annotation, and data-quality review. I work independently in remote environments, follow detailed guidelines, correct errors before submission, and balance accuracy, consistency, speed, and project requirements across high-volume datasets.
Experience
Work history, roles, and key accomplishments
Remote Video Data Annotator
Senicom
Jan 2024 - Jun 2026 (2 years 5 months)
Performed video data annotation for AI and machine-learning datasets, including frame-by-frame review, object identification, bounding box creation, and object tracking. Ensured data quality and consistency by reviewing annotations, correcting errors, and following project-specific guidelines.
Education
Degrees, certifications, and relevant coursework
Barachel Model College
Senior Secondary School Certificate, General Studies
Completed secondary education at Barachel Model College in Lagos, Nigeria.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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