Wendel P.
Junior AI Data Annotation Specialist
Open to offersNew to PlatformAbout
Wendel P. is a proficient AI Data Annotation Specialist with a background in supporting machine learning training pipelines through meticulous image labeling and video object tracking. Based in the Philippines, Wendel has significantly contributed to the enhancement of computer vision datasets by annotating over 1,000 images and meticulously tagging objects across video sequences. His work ensures dataset consistency and accuracy, vital for AI model development, by strictly following predefined labels and detailed annotation standards. Wendel's expertise extends to the evaluation of text-to-speech outputs, where he applies rigorous quality criteria to rank responses. Furthermore, his prior role as an IT Specialist involved resolving technical issues, managing network systems, and maintaining software performance, thereby reinforcing his competence in technical troubleshooting within data operations. His academic achievements include a Bachelor of Science in Information Technology from the Polytechnic University of the Philippines.
Why hire me
Employers should hire me because I combine IT support expertise with proven data annotation and quality assurance skills—a unique combination that demonstrates technical proficiency, attention to detail, and commitment to quality. As an IT Specialist, I provided responsive remote support to employees, diagnosing and resolving complex technical issues while communicating clearly with non-technical users. This experience taught me patience, problem-solving under pressure, and the importance of clear documentation. I maintained high service standards and followed systematic processes to minimize downtime. As a Data Annotator and QA Specialist, I labeled 1,000+ images with high accuracy, performed video tracking, and created training prompts. More significantly, my quality assurance work involved evaluating 11+ AI responses, identifying and correcting 15+ P0 errors, and verifying 50+ sources—demonstrating my ability to think critically about quality and maintain rigorous standards.
Experience
Data Annotation Specialist
Innodata · 2025 — 2026Annotated over 1,000 images with predefined labels to assist in training machine learning models. Applied classification techniques and bounding box methods for object identification. Labeled characteristics like type, color, and spatial position in images, ensuring accuracy during annotation. Reviewed video samples and tagged objects with frame-by-frame precision. Created structured prompts detailing objects and their spatial relationships for AI training, while evaluating text-to-speech outputs to rank responses against strict quality guidelines.IT Specialist
Indojaya · 2025 — 2025Delivered remote technical support to employees working from home. Diagnosed and addressed issues related to hardware, software, and system performance. Managed internet connectivity, including configuring Wi-Fi, troubleshooting routers, setting up LAN, and testing hotspots. Ensured optimal laptop performance through updates of OS, BIOS, and device drivers. Documented recurring technical problems and implemented solutions to minimize downtime while installing and maintaining Windows OS and essential software.
Skills & Expertise
Education
- Bachelor of Science in Information TechnologyPolytechnic University of the Philippines – Lopez · 2020 — 2021
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