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john deen

@johndeen

Detail-oriented data annotation specialist ensuring high-quality datasets for AI and ML projects.

United States
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What I'm looking for

I seek remote roles focused on high-quality data annotation and QA, collaborating with engineers and teams to improve ML datasets and model performance.

I am a detail-oriented data annotation specialist with over 3 years of hands-on experience contributing to large-scale AI and machine learning projects. My work spans image, text, audio, and video annotation for computer vision, NLP, and video analytics.

I have maintained 97%+ accuracy through consistent QA, peer review, and close collaboration with engineers and project leads. I have contributed to over 150 annotation projects under tight deadlines and improved dataset reliability by identifying and addressing quality gaps.

My technical familiarity includes tools such as Labelbox, SuperAnnotate, CVAT, and Scale AI, and I have experience with audio segmentation, transcription, metadata tagging, and data validation. I have supported NLP and computer vision teams and documented data workflows to ensure annotation consistency.

I am authorized to work in the U.S., available to start immediately, and prefer remote roles where I can continue applying rigorous quality assurance and clear, agile communication to accelerate model performance.

Experience

Work history, roles, and key accomplishments

AT
Current

Data Annotation Specialist

Appen Technologies

Apr 2022 - Present (3 years 6 months)

Labeled diverse image, video, and text datasets to improve AI model accuracy, maintaining 97%+ QA accuracy and contributing to 150+ annotation projects under tight deadlines.

Scale AI logoSA

AI Data Labeler

May 2020 - Mar 2022 (1 year 10 months)

Annotated large batches for machine learning datasets focusing on image categorization, text labeling, and video segmentation, and collaborated with QA to improve dataset reliability.

GA

Data Entry & Labeling Assistant

Google via Adecco

Jun 2018 - Apr 2020 (1 year 10 months)

Supported NLP and computer vision teams with labeling and data cleanup, tested and documented annotation workflows, and identified data quality gaps to streamline turnaround.

Education

Degrees, certifications, and relevant coursework

University of California, Los Angeles logoUA

University of California, Los Angeles

Bachelor of Science, Information Systems

Completed a Bachelor of Science in Information Systems with coursework in Data Management, Human-Computer Interaction, and Applied Machine Learning.

Tech stack

Software and tools used professionally

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john deen - Data Annotation Specialist - Appen Technologies | Himalayas