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Jomari C. — Junior Data Annotator from Philippines

Jomari C.

Junior Data Annotator

Philippines 6+ years
Open to offersNew to Platform
Languages
EnglishTagalog
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About

Jomari C. is an experienced professional with a background in data annotation and CAD design, offering a unique combination of technical skills and industry experience. At Innodata Knowledge Inc., Jomari specialized in reviewing and labeling online content, including sensitive NSFW material, ensuring data accuracy and quality. His expertise in prompt engineering for large language models helped optimize outputs for various tasks. Additionally, Jomari contributed to AI-assisted design workflows by providing feedback on image improvements. At Yngen DataCom Corp, he managed video and image annotation using tools like SuperAnnotate and Label Box. His earlier roles as a CAD designer involved designing project plans and preparing detailed documentation for construction projects. Jomari holds certifications in AutoCAD and computer system servicing, further establishing his technical proficiency.

Experience

  • Video Annotator

    Yngen DataCom Corp · 2021 — 2025
    Performed video and image annotation tasks including bounding box, segmentation, and skeleton labeling, utilizing tools such as SuperAnnotate, Label Box, and Darwin7labs.

  • Advisor 1, Technical Support

    Concentrix Alabang · 2020 — 2021
    Provided technical support and guidance in a customer service environment.

  • AutoCad Operator

    MDS Alabang Inc. · 2020 — 2020
    Executed drafting and design tasks as part of technical projects using AutoCAD.

  • CAD Designer

    Marcbilt Construction Inc. · 2017 — 2020
    Contributed to projects by visiting sites for as-stake and as-built assessments. Designed project plans and plotted surveyor data while preparing plans, Bill of Quantity, and Earthworks Quantity documentation. Assisted in verifying plans for submission to the DPWH Regional office IV-A.

  • Data Annotator

    Innodata Knowledge Inc.
    Reviewed and labeled online content, including sensitive NSFW material, while ensuring the accuracy, consistency, and quality of data annotations. Designed and executed structured practice tests to evaluate understanding of large language models (LLMs). Employed prompt engineering techniques for optimization of outputs in annotation, classification, and similarity assessment tasks. Provided feedback on image improvement and descriptive prompt writing for AI-assisted design workflows. Assessed model responses using scoring rubrics and quality assurance frameworks to maintain accuracy, clarity, and ethical compliance.

Skills & Expertise

AutoCADAI and Data ScienceAI Engineer

Education

  • Computer Technology
    Computer Site Institute Inc.
  • High School
    Sampaguita National Highschool ANNEX

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