Hi, I’m Leaky Barak, a highly analytical and detail-oriented Data Annotation and QA Specialist with over 3 years of experience building, reviewing, and validating datasets for AI, machine learning, and computer vision projects. I’ve worked extensively on image and video annotation, CBIR tagging, and motion tracking, using Python, SQL, and automation to ensure labeling accuracy and dataset integrity for reliable model training. I excel at following precise labeling guidelines, maintaining consistency, and delivering under tight deadlines. I’ve automated data validation processes to improve team efficiency and collaborated with engineers and PMs remotely to optimize workflows and dataset organization. I’m available for remote, short-term, or freelance projects requiring accuracy, speed, and technical know-how.

Leaky Barak

Hi, I’m Leaky Barak, a highly analytical and detail-oriented Data Annotation and QA Specialist with over 3 years of experience building, reviewing, and validating datasets for AI, machine learning, and computer vision projects. I’ve worked extensively on image and video annotation, CBIR tagging, and motion tracking, using Python, SQL, and automation to ensure labeling accuracy and dataset integrity for reliable model training. I excel at following precise labeling guidelines, maintaining consistency, and delivering under tight deadlines. I’ve automated data validation processes to improve team efficiency and collaborated with engineers and PMs remotely to optimize workflows and dataset organization. I’m available for remote, short-term, or freelance projects requiring accuracy, speed, and technical know-how.

Available to hire

Hi, I’m Leaky Barak, a highly analytical and detail-oriented Data Annotation and QA Specialist with over 3 years of experience building, reviewing, and validating datasets for AI, machine learning, and computer vision projects. I’ve worked extensively on image and video annotation, CBIR tagging, and motion tracking, using Python, SQL, and automation to ensure labeling accuracy and dataset integrity for reliable model training.

I excel at following precise labeling guidelines, maintaining consistency, and delivering under tight deadlines. I’ve automated data validation processes to improve team efficiency and collaborated with engineers and PMs remotely to optimize workflows and dataset organization. I’m available for remote, short-term, or freelance projects requiring accuracy, speed, and technical know-how.

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Experience Level

Expert
Expert
Expert
Intermediate
Intermediate

Language

English
Fluent
French
Advanced
Spanish; Castilian
Advanced

Work Experience

Junior Data Technician (Internship) at Kenya Digital Research Centre
December 1, 2019 - December 1, 2019
Assisted in preparing and organizing datasets for computer vision projects, including wildlife detection and content-based image retrieval. Developed annotation guides and documented workflow steps for new team members. Gained foundational experience in dataset management, annotation formats, and quality checks.
AI Data Annotation Specialist at DataSight Analytics Ltd.
April 1, 2022 - November 6, 2025
Accurately labeled and reviewed thousands of images and videos for AI/ML model training, maintaining 98–99% annotation accuracy. Followed detailed project guidelines to annotate datasets for motion tracking, object detection, and CBIR tasks. Designed Python and SQL scripts to automatically detect missing or duplicate labels, enhancing dataset quality. Collaborated remotely with engineers to provide QA feedback, improve annotation workflows, and ensure compliance with labeling standards. Delivered high-quality datasets under tight deadlines, demonstrating reliability in short-term freelance assignments.
Data QA Assistant at VisionCraft AI Solutions
March 31, 2022 - March 31, 2022
Conducted comprehensive QA audits of labeled datasets for autonomous systems and computer vision research projects. Developed standardized annotation workflows and QA checklists to ensure consistency across teams. Generated detailed error reports identifying systematic labeling issues, reducing error recurrence by 30%. Managed a small team of annotators, ensuring projects were delivered on time and met quality standards. Provided guidance and training for new team members on annotation protocols and quality expectations.
Junior Data Technician (Internship) at Digital Research Center
December 1, 2019 - December 1, 2019
Assisted in preparing and organizing datasets for computer vision projects, including wildlife detection and CBIR. Developed annotation guides and documentation to support onboarding of new team members. Gained foundational experience in dataset structuring, annotation formats, and quality checks, contributing to smoother workflow execution.

Education

Bachelor of Science in Information Technology at University of California, Berkeley
January 11, 2030 - January 1, 2019

Qualifications

Data Annotation for AI & ML Projects – Udemy
January 1, 2023 - November 6, 2025
SQL for Data Quality Monitoring – Kaggle Learn
January 1, 2023 - November 6, 2025
Quality Assurance in AI Datasets – DataCamp
January 1, 2022 - November 6, 2025
Computer Vision Fundamentals with OpenCV & Python
January 1, 2024 - November 6, 2025

Industry Experience

Software & Internet, Media & Entertainment, Professional Services