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Jaguar John

@jaguarjohn

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I build high-quality AI training datasets across computer vision, NLP, and multimodal machine learning projects.

Kenya

Message

What I'm looking for

I'm looking for full-time, contract, or remote opportunities where I can improve AI training-data quality, develop annotation processes, collaborate with ML teams, and support high-impact computer vision or NLP projects.

I've delivered high-quality AI training data across computer vision, NLP, and multimodal machine learning projects, maintaining 98%+ accuracy across more than 300,000 annotations.

At Vertex AI Solutions, I lead a team of 15 annotators supporting autonomous vehicle and chatbot training. I achieved a 98.7% average quality score across 200,000+ annotations and improved team accuracy from 92% to 97% within six months.

I create annotation guidelines, resolve edge cases with ML engineers, and work across object detection, semantic segmentation, 3D bounding boxes, text classification, and entity relationship tagging. My process improvements reduced inter-annotator disagreement by 40% and onboarding time by 35%.

Previously, I annotated image, text, audio, and video datasets at DataCore Technologies and Scale AI Platform, including RLHF evaluation, medical imaging, LiDAR point clouds, and multilingual NLP data. I'm available for full-time, contract, and remote opportunities.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Labeling Specialist

Current

Vertex AI Solutions

Jun 2022 - Present (4 years 3 months)

Lead a team of 15 annotators in labeling complex computer vision and NLP datasets for autonomous vehicle and chatbot training. Achieved 98.7% average quality score across 200,000+ annotations and developed guidelines that reduced inter-annotator disagreement by 40%.

Computer Vision NLP Object Detection Semantic Segmentation Text Classification 3D Bounding Boxes Road Markings Multi Label Classification Entity Relationship Tagging Quality Assurance Team Leadership Mentorship Annotation Guidelines Active Learning

Data Annotation Specialist

DataCore Technologies

Mar 2021 - May 2022 (1 year 2 months)

Annotated 75,000+ images for computer vision models including autonomous driving, medical imaging, and retail analytics. Participated in RLHF projects and maintained top 5% quality ranking for 14 consecutive months with 99.1% average accuracy.

Bounding Box Annotation Polygon Segmentation Keypoint Labeling Image Classification RLHF Sentiment Analysis Named Entity Recognition Multi Language Quality Assurance Edge Case Documentation

Data Labeling Associate

Scale AI Platform

Jan 2020 - Feb 2021 (1 year 1 month)

Labeled 50,000+ data points across image, text, audio, and video datasets for various machine learning projects. Achieved 97.5% accuracy rate on quality control checks while maintaining productivity of 800–1,000 annotations per day.

Image Annotation Text Annotation Audio Transcription Video Annotation Medical Image Annotation LIDAR Point Cloud Labeling Quality Metrics Data Labeling Quality Assurance

Education

Degrees, certifications, and relevant coursework

Scale AI Academy

Certified Data Annotation Specialist, Data Annotation

Certified as a Data Annotation Specialist.

Coursera

Computer Vision Annotation Professional, Computer Vision

Completed the Computer Vision Annotation Professional certification.

Labelbox Academy

NLP Data Labeling Certification, Natural Language Processing

Earned the NLP Data Labeling Certification.

Stanford Online

Machine Learning Foundations, Machine Learning

Completed the Machine Learning Foundations course.

DICOM Standards Institute

Medical Image Annotation Training, Medical Imaging

Completed Medical Image Annotation Training.

University of California, Berkeley

Bachelor of Science, Computer Science

Grade: 3.6/4.0

Graduated with a Bachelor of Science in Computer Science, with relevant coursework in machine learning, data structures, statistics, and natural language processing.