Remote Computer Vision Data Specialist

BairesDev; United States; Remote; MXN 1,304,000 - 2,049,000; Full time

Benefits offered by this job

Remote work

USD or local currency compensation

Home office setup

Flexible hours

Parental leave & holidays

Global, diverse team

Job summary

BairesDev is seeking a Data Management Specialist (Computer Vision) to manage visual data used to train and validate AI models. You will keep datasets accurate, organized, and ready for use, collaborating with ML teams and ensuring data quality.

This 100% remote role offers flexible hours and work from anywhere, with compensation in USD or local currency. Join a global, diverse team and contribute to cutting-edge computer vision projects.

Qualifications

• 4+ years of experience in data management or data operations.
• Experience preparing and managing datasets for Computer Vision projects.
• Solid knowledge of annotation practices, data versioning, and quality assurance.
• Familiarity with Python and machine learning workflows as supporting skills.
• Advanced proficiency in English.

Responsibilities

• Collect and curate image and video datasets for model training and evaluation.
• Oversee annotation workflows and review labels to maintain quality.
• Track dataset versions, sources, and licensing to support traceability.
• Identify gaps, bias, and quality issues in visual data and propose corrections.
• Coordinate with machine learning teams to align data preparation with model needs.
• Enforce privacy and security standards for sensitive visual content.

Skills

Data management

Dataset preparation

Annotation

Python

ML workflows

English proficiency

Tools

Git

Job description

BairesDev is seeking a Data Management Specialist (Computer Vision) to manage visual data used to train and validate AI models. You will keep datasets accurate, organized, and ready for use, collaborating with ML teams and ensuring data quality.

This 100% remote role offers flexible hours and work from anywhere, with compensation in USD or local currency. Join a global, diverse team and contribute to cutting-edge computer vision projects.