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Roboflow
Appen
Toloka
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VideoIT Support & Documentation Intern – Data Annotation Related Tasks. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Landmark University (2022). AI-training focus includes data types such as Text and labeling workflows including Classification.
The work done here was to be able identify birds on farm fields and scare them off whenever a bird is being detected.
As an IT Support & Documentation Intern, applied structured taxonomies to categorize, label, and track IT incidents and support cases, closely aligning with standard data annotation workflows. Ensured accuracy and consistency of technical classifications by following established guidelines and performing self-reviews. Developed cross-team verification skills by collaborating on the quality review of categorized data for audit-readiness. • Systematically applied taxonomies for categorization and labeling of technical data • Maintained structured logs ensuring data consistency and auditability • Reviewed edge cases and flagged anomalies for further QA • Demonstrated inter-annotator consistency through collaborative classification decisions
Bachelor of Science, Computer Science
IT Support & Documentation Intern
