Remote Data Management Specialist (OpenCV & YOLO)

BairesDev; Bogotá; Remote; COP 231,107,000 - 330,153,000; Full time

Benefits offered by this job

Remote work (100% from anywhere)

Competitive USD or local currency pay

Home office setup provided

Flexible hours

Paid parental leaves, vacations andhol

Job summary

BairesDev is seeking a Data Management Specialist to oversee image and video datasets used in vision-based solutions. You will organize training data, coordinate labeling, and ensure data quality for model training and validation.

Ideal candidates have 4+ years in data management, hands-on OpenCV and YOLO experience, Python familiarity, and strong English skills. This is 100% remote with flexible hours and global collaboration.

Qualifications

• 4+ years of experience in data management or data operations.
• Hands-on experience processing images and video with OpenCV.
• Solid knowledge of object detection workflows and datasets built around YOLO.
• Familiarity with Python, annotation tools, and dataset versioning practices.
• Advanced proficiency in English.

Responsibilities

• Assemble and organize large visual datasets for detection and recognition projects.
• Coordinate labeling efforts and review annotations against agreed standards.
• Prepare and transform data so it is ready for model training and validation.
• Track dataset versions and changes to support reproducibility.
• Report on data quality and coverage gaps to machine learning teams.
• Apply privacy and retention rules to sensitive visual data.

Skills

Data management

OpenCV

YOLO

Python

Annotation tools

Dataset versioning

English proficiency

Tools

OpenCV

YOLO

Python

Job description

BairesDev is seeking a Data Management Specialist to oversee image and video datasets used in vision-based solutions. You will organize training data, coordinate labeling, and ensure data quality for model training and validation.

Ideal candidates have 4+ years in data management, hands-on OpenCV and YOLO experience, Python familiarity, and strong English skills. This is 100% remote with flexible hours and global collaboration.