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@jj05
I am a detail-oriented data annotator delivering high-quality labeled datasets for AI/ML.
I am a freelance data annotator with 5+ years of hands-on experience delivering labeled data for AI projects across healthcare, e-commerce, facial recognition and autonomous vehicles, working with global clients and strict production standards.
I have completed 200+ hours of task-based annotation and QA projects and consistently achieved 98%+ accuracy in production and QA stages while collaborating on large annotation batches with tight guidelines. I routinely use tools such as Labelbox, CVAT and SuperAnnotate and contribute to platform-scale efforts on Appen, Scale AI, Remotasks, Clickworker and TaskUs AI.
I also bring SEO training and prompt-writing experience for generative AI, plus social media evaluation and content rating background. I thrive in remote, deadline-driven environments and prioritize clear communication, efficiency and high-quality output.
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Work history, roles, and key accomplishments
Freelance
Jan 2019 - Present (6 years 10 months)
Delivered labeled data for AI projects across healthcare, e-commerce, facial recognition, and autonomous vehicles; achieved 98%+ accuracy in production and QA while meeting strict batch guidelines.
Degrees, certifications, and relevant coursework
Certificate in SEO Fundamentals, Search Engine Optimization
2024 - 2025
Completed SEO fundamentals training including keyword research and content structuring during 2024–2025.
Professional Certificate, Social Media Evaluation
2022 - 2024
Completed Appen social media evaluator and content rater training and project work from 2022 to 2024.
Bachelor of Science in Information Technology, Information Technology
2019 - 2023
Completed undergraduate studies in Information Technology at Rizal Technological School, Antipolo City, attending 2019–2023.
Software and tools used professionally
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