I seek data annotation projects where precision meets purpose. I thrive with clear yet flexible guidelines, quality-focused workflows, and meaningful AI applications (e.g., education, autonomous systems, security). My linguistic analysis enhances model performance, and I prefer long-term collaborations where my expertise grows with your data needs
kashim usman
@kashimusman
Building smarter AI by bridging human insight with precise data annotation
What I'm looking for
I’m a meticulous Data Annotator with a sharp eye for detail and a passion for transforming raw data into high-quality training fuel for AI and machine learning models. With 2 years of hands-on experience, I specialize in pixel-perfect image segmentation, frame-by-frame video labeling, and precise text annotation helping startups and enterprises build more accurate and reliable AI systems.
Why My Annotations Deliver Results?
✔ Precision Meets Efficiency – Whether it’s object detection in images, action tagging in videos, or NLP text classification, I ensure every annotation is clean, consistent, and optimized for model training.
✔ Practical & Scalable – Need 10,000 labeled images? Frame-accurate video annotations? Large-scale text datasets? I deliver high-quality work fast, without compromising accuracy.
✔ AI-Aware Labeling – I don’t just annotate—I understand how labels impact model performance. My annotations are structured to minimize noise and maximize training efficiency.
Core Skills:
📌 Image Annotation – Bounding boxes, polygon segmentation, key point labeling
📌 Video Annotation – Object tracking, activity recognition, temporal labeling 📌 Text Annotation – Named entity recognition (NER), sentiment analysis, intent classification
📌 Tool Proficiency – Label box, CVAT, Spreadsheet, ChatGPT, Audio Annotation Pro, Prodigy & custom platforms
Experience
Work history, roles, and key accomplishments
Data Research & Annotator
Project Zooniverse
Apr 2024 - Present (1 year 4 months)
I design annotation systems that turn raw data into powerful training sets. Standardizing 6.7M+ wildlife classifications boosted model accuracy by 27%, while my labeling frameworks cut annotator variance by 19%. My specialized taxonomies (like 927 artistic motifs for bio illustrations) unlock new ML and research potential
Education
Degrees, certifications, and relevant coursework
Babcock University
Bachelor of Social Work, Social Work
2018 - 2024
Grade: 3.8
Activities and societies: Organized and analytical Financial Secretary for Student Faculty, managing budgets with precision. Led community development projects through collaborative teamwork, earning recognition as 'Most Collaborative' for fostering inclusive problem-solving. Proven ability to balance fiscal responsibility with team-driven leadership
Graduated with Dinstinction, Majored in community and Economic Development
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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