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

Glacier · Remote · Remote Latin America based ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€24k – €42k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (LatAm)
  • Pacific Time zone
  • Python + SQL
  • Computer Vision focus
  • Series A startup

You will own the data layer powering computer vision models, ensuring high-quality datasets for ML teams. This involves building pipelines, internal tools, and managing the lifecycle of image and video data to improve recycling sorting technology.

What you'll do

  • Manage image and video dataset lifecycle including taxonomy and curation
  • Design and maintain data pipelines for moving, transforming, and versioning data
  • Build internal tools to accelerate dataset creation and labeling workflows
  • Coordinate with labeling teams to ensure consistent and error-free annotations
  • Improve training data collection using model-assisted and active-learning methods

What you'll need

  • At least 2 years of experience in Machine Learning
  • 2+ years building software applications or internal tools with Python
  • 2+ years working specifically with image or video datasets
  • Hands-on experience designing ETL/ELT pipelines and data versioning
  • Strong SQL skills and experience with structured data
  • Fluent English proficiency for collaboration with US-based teams

Nice to have

  • Background in Computer Vision or supporting CV/ML teams
  • Web development experience with React, Django, or Nextjs
  • Familiarity with annotation platforms like Supervisely or CVAT
  • Experience with cloud storage S3 and backend services like FastAPI
  • Prior experience working with US companies or clients

Stack

  • Python
  • SQL
  • DVC
  • React
  • Django
  • Nextjs
  • Supervisely
  • CVAT
  • Label Studio
  • S3
  • FastAPI

How you'll work

  • Fully remote position
  • Must be based in Latin America
  • Work hours aligned with Pacific Time zone

What you get

  • 15 days paid time off plus national holidays
  • $500 one-time budget for remote setup
  • $100 monthly wellness stipend