Computer Vision Data Engineer

Glacier

Computer Vision Data Engineer developing data pipelines and tools to support ML models at Glacier startup. Focused on improving data quality for computer vision applications in recycling.

Posted 7/28/2026full-timeRemote • 💃 Anywhere in Latin AmericaJuniorMid-Level💰 $2,000 - $3,500 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing image and video dataset lifecycles, including curation, quality assurance, and data pipeline design. Proficient in Python and SQL, with a strong focus on building internal tools to enhance dataset creation and labeling processes.

Highest-signal resume keywords

Machine Learning ExperiencePython ProgrammingData Pipeline DesignSQL ProficiencyImage/Video Dataset Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPythonData Pipeline DesignSQLETL/ELTWorkflow OrchestrationData VersioningDataset CurationAnnotation PlatformsCloud Storage

Soft Skills

CollaborationCommunication

Tools & Technologies

DVCAnnotation PlatformsCloud Storage

Industry Keywords

Dataset LifecycleData QualityActive LearningModel-Assisted Approaches

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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