Video Annotation
Labeled video clips for AI model training, tracking objects and activities across frames and assigning consistent categories. Followed time-based instructions to mark events, actions, and safety-relevant situations.
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AI Data Specialist and AI/ML Engineer with hands-on experience creating high‑quality training data for machine learning systems. I have worked on text, image, and video annotation projects, following detailed guidelines to produce consistent labels, ratings, and feedback that directly improve model performance. I combine this with a strong foundation in Python and SQL, so I understand how labeled data flows into analytics pipelines and supervised learning workflows. I am comfortable working with large volumes of data, strict quality targets, and evolving instructions, and I enjoy resolving edge cases and ambiguous examples carefully rather than guessing. My background in data engineering and backend development helps me think beyond individual tasks to overall data quality, reliability, and scalability. I am motivated by building trustworthy datasets for AI models and collaborating with cross‑functional teams to iterate on guidelines and deliver better model behavior over time. Education includes Bachelor of Science In IT, University of Kabianga (2022),Software Development in,zone01 and Data Engineering in Data Community Africa
Labeled video clips for AI model training, tracking objects and activities across frames and assigning consistent categories. Followed time-based instructions to mark events, actions, and safety-relevant situations.
Annotated images for computer vision training, drawing [bounding boxes / polygons / segmentations] and assigning object categories according to strict guidelines. Ensured precise, consistent labels across diverse scenes and edge cases.
I worked on a large-scale text labeling project for Appen, focused on [social media content / web search queries / chatbot conversations]. I reviewed and annotated text samples according to detailed guidelines, applying consistent labels for [safety categories, sentiment, topics, relevance scores, or quality ratings]. I maintained high accuracy and throughput, followed strict quality standards, and provided feedback to improve labeling instructions where needed.
Data Engineering Associate, Dat engineering
Bachelor of Science, Information Technology
Software Developer
Data Engineer