Qureos Mentor

Monitize AI

<div><ul><li>Lead backend architecture &amp; design for our web app and data pipelines.
</li><li>Build scalable APIs and services for handling large-scale video &amp; metadata.
</li><li>Design and optimize databases (SQL/NoSQL, distributed storage) for high throughput.
</li><li>Collaborate with AI/ML engineers to integrate computer vision pipelines into production.
</li><li>Work with blockchain developers to support token, wallet, and reward integrations.
</li><li>Own DevOps (cloud infra, CI/CD, monitoring) to ensure system reliability.
</li><li>Mentor junior engineers and establish engineering best practices.
</li><li>Shape the technical roadmap and make key architectural decisions.</li>
</ul>Requirements<ul>
<li>5+ years of backend engineering experience with production system ownership.
</li><li>Strong expertise in Python or Node.js (bonus: both).
</li><li>Deep knowledge of databases (Postgres, MongoDB, or equivalents) and experience with large-scale data management.
</li><li>Familiarity with data-heavy applications (video pipelines, ML datasets, or real-time systems).
</li><li>Comfortable with cloud infra (AWS/GCP), containers (Docker/K8s), and CI/CD pipelines.
</li><li>Understanding of AI/ML workflows (model training, inference, data preprocessing).
</li><li>Strong interest in crypto (tokens, smart contracts, wallets) and computer vision &mdash; willing to learn fast.
</li><li>Problem-solving mindset with leadership ambition.</li></ul></div>

Senior Backend Engineer

<div>About Us 
We are building the world&rsquo;s most valuable robotics training datasets. Our mission is to capture and process large-scale video data of human actions and environments, then deliver structured datasets to leading robotics companies.
The Role 
We&rsquo;re looking for a Computer Vision / Data Pipeline Engineer to take ownership of our video data pipelines &mdash; from raw uploads to structured, client-ready datasets. You&rsquo;ll work with state-of-the-art tools (classic CV models + modern vision-language models) and annotation platforms to automate, scale, and ensure quality.
Requirements
What You&rsquo;ll Do<ul>
<li>Build scalable pipelines to process and clean massive amounts of video data.
</li><li>Automate annotation workflows using classic CV models + vision-language models (ChatGPT, Gemini, etc.) + human QA.</li>
<li>Package datasets in industry-standard formats (COCO, AVA, pose/action recognition datasets).
</li><li>Maintain high data quality: filtering, deduplication, validation, metadata consistency.
</li><li>Collaborate with backend engineers and product teams to deliver client-ready datasets.
</li></ul>What We&rsquo;re Looking For<ul>
<li>Strong Python skills (OpenCV, PyTorch/TensorFlow, NumPy/Pandas).
</li><li>Experience with large-scale video dataset processing.
</li><li>Familiarity with annotation tools (Label Studio, CVAT, Supervisely, etc.).
</li><li>Knowledge of dataset standards used in CV/robotics (COCO, Pascal VOC, AVA).
</li><li>Hands-on experience automating labeling and data QA.
</li><li>Familiarity with modern Vision-Language Models (ChatGPT, Claude, Gemini, etc.) and how they can assist in labeling/annotation.
</li></ul>Nice-to-Have<ul>
<li>Background in robotics, autonomous driving, AR/VR, or large-scale data companies.</li>
<li>Prior experience in data annotation/dataset companies (Scale AI, Appen, Labelbox, Hive).</li>
<li>Prior startup experience (fast iteration, lean teams).</li></ul></div>

Computer Vision & Data Pipeline Engineer

Join Monitize AI and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Monitize AI

ABOUT_COMPANY

Senior Backend Engineer

Computer Vision & Data Pipeline Engineer