Computer Vision DATA Engineer - Fully Remote USD - Latin America based

The role

You will own the data layer that powers computer vision models. You will build datasets, pipelines, and internal tools to enable the ML team to train on high-quality data.

What you will do

• Own the image and video dataset lifecycle including taxonomy, curation, collection workflows, and quality.
• Design and maintain data pipelines to move, transform, version, and sync datasets.
• Build internal tools and software for dataset creation, labeling, and curation.
• Coordinate with the labeling team to ensure data is well curated and error-free.
• Improve collection and prioritization of training data using model-assisted and active-learning approaches.

Required qualifications

• 2+ years of Machine Learning experience
• 2+ years building software applications or internal tools, with strong expertise in Python
• 2+ years of experience working with image or video datasets
• Hands-on experience designing and maintaining data pipelines (ETL/ELT, workflow orchestration, data versioning)
• Strong SQL and experience working with structured data
• English fluency (B2 or higher)

Nice to have

• Computer vision background or experience supporting CV/ML teams
• Web application development (React + Django, Nextjs)
• Experience with annotation platforms (Supervisely, CVAT, Label Studio) and data versioning tools (DVC)
• Experience with cloud storage (S3) and building backend services (FastAPI)
• Experience integrating open-source tooling and contributing to internal platforms
• Experience working with US companies or clients

Benefits

• 15 Days Paid Time Off + your National Holidays
• $500 for your remote set up
• $100/mo for your wellness

About the company

Glacier is a Series A startup based in San Francisco tackling trash and recycling. They build custom sorting robots and AI-powered business analytics.