
Faith User
@faithuser14
I annotate high-quality video data for AI model training and iteration.
What I'm looking for
At Atlas Capture, I deliver clean, accurately annotated video data used directly in AI model training pipelines. I label video frames across multiple batches while maintaining quality and consistency.
I identify edge cases and ambiguous scenarios, follow detailed annotation guidelines, and help reduce correction cycles to accelerate model iteration. This work has given me a practical understanding of how raw data becomes production-ready AI models.
Through Ts Academy and self-directed learning, I’ve built front-end foundations in HTML, CSS, and JavaScript while continuing to study AWS, AI automation, prompt engineering, and cloud AI.
Experience
Work history, roles, and key accomplishments
Web Development Trainee
Ts Academy
Completed a structured web development program, building foundational skills in HTML, CSS, and JavaScript through project-based learning. Undertook self-directed study to expand knowledge beyond program requirements.
AI Data Labeler / Annotator
Atlas Capture
Delivered clean annotated video data for AI model training, accurately labeling frames and identifying edge cases. Adhered to guidelines, reducing correction cycles and accelerating model iteration.
Education
Degrees, certifications, and relevant coursework
Enugu State University of Science and Technology (ESUT)
B.Eng., Computer Engineering
Pursuing a Bachelor of Engineering in Computer Engineering with a focus on AI and machine learning.
Godfrey Okoye University Secondary School
Secondary School Certificate, General Studies
Completed secondary school education.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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