Computer Vision Data Engineer

🕒 July 28

💃 Latin America – Remote

💵 $2k - $3.5k / month

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Glacier

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏭 Manufacturing

📦 Logistics

🤖 Artificial Intelligence

Manufacturing • Logistics • Artificial Intelligence

Glacier is a cutting-edge robotics company specializing in waste management solutions, particularly through advanced recycling technologies. Their innovative sorting robots are designed to efficiently identify and sort over 30 types of materials using proprietary AI technology, making recycling facilities more effective and economically viable. With a mission to reduce landfill waste and promote a circular economy, Glacier aims to decrease greenhouse gas emissions through enhanced recycling processes. Based in San Francisco, Glacier is dedicated to making a significant impact on climate change and waste management.

📋 Description

• Own our image and video dataset lifecycle: taxonomy, curation, collection workflows, and quality, so our models train on clean, well-structured, error-free data. • Design and maintain the data pipelines that move, transform, version, and sync our datasets (e.g. DVC, annotation platforms, cloud storage). • Build internal tools and software that make dataset creation, labeling, and curation faster and more reliable for the ML and labeling teams. • Coordinate closely with our labeling team to ensure data is well curated, consistently annotated, and error-free. • Improve how we collect and prioritize training data over time, including model-assisted and active-learning approaches.

🎯 Requirements

• 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, as you'll be working with a US-based team (B2 or higher).

🏖️ Benefits

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