> Markdown version of [/jobs/ext/3469488-mobile-app-developer-seasonal](https://www.wearedevelopers.com/jobs/ext/3469488-mobile-app-developer-seasonal). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Mobile App Developer (Seasonal)

- **Company:** Complete Transpack Solutions
- **Location:** Golden, CO, United States
- **Salary:** $62,400.0 - $114,400.0
- **Contract:** Temporary contract
- **Skills:** Flutter, JavaScript (Programming Language), Computer Vision, Software Code Optimization, Github, Human-Computer Interaction, Mobile Application Software, Python (Programming Language), Machine Learning, Object Detection, OpenCV, Raspberry Pi, Tensorflow, Smart Devices, Pytorch, Kotlin, Dart, Hardware Acceleration, React Native
- **Published:** September 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2e1d4e28e94f457f

## About the Role

* Solid foundations and strong skills in Python for training pipelines.
 * Experience with computer vision libraries (OpenCV, PyTorch, or TensorFlow) and 1+ years of experience working with the YOLO architecture.
 * Proven experience embedding machine learning models onto edge devices, with knowledge of leveraging hardware acceleration (Apple Neural Engine, GPU) highly preferred.
 * Proficiency in mobile frameworks (Dart/Flutter, JavaScript/React Native, Swift, or Kotlin).
 * Familiarity with data annotation, augmentation, and model optimization., * Authorization to work within the United States.
 * A problem solver capable of working independently and researching deployment bugs.
 * Candidates must provide a portfolio or GitHub link demonstrating past projects where an object detection model was successfully trained and deployed to production or an edge device (webcam, phone, Raspberry Pi, etc.)

## Description

* Build a functional prototype of a mobile warehouse utility app designed to instantly count stacked warehouse supplies using ondevice artificial intelligence.
 * Train a lightweight, commercially viable custom object detection model (using frameworks like YOLOv8, YOLOv11, YOLONAS, or YOLOX) to recognize pallets, top frames, and layer pads across varying lighting conditions and angles.
 * Prepare and organize data by setting up a lightweight annotating workflow (e.g., Roboflow or CVAT) to label a dataset of 300500 images of inventory.
 * Export and optimize the trained model (via CoreML or TensorFlow Lite) to ensure it can run locally and offline inside the mobile application.
 * Build a simple, clean user interface (UI) that integrates the model to display realtime counting overlays and bounding boxes on a live camera feed or uploaded photo.
 * Cowork directly with one of the company owners to develop, iterate, and test the prototype.


## Related Videos

- [Intro to Flutter Development](https://www.wearedevelopers.com/videos/170-intro-to-flutter-development)
- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [Kotlin Multiplatform - True power of native code reuse](https://www.wearedevelopers.com/videos/4-kotlin-multiplatform-true-power-of-native-code-reuse)
- [Dart - a language believed dead, experiences a new bloom](https://www.wearedevelopers.com/videos/442-dart-a-language-believed-dead-experiences-a-new-bloom)
- [Applying DevOps in Flutter mobile development](https://www.wearedevelopers.com/videos/60-applying-devops-in-flutter-mobile-development)
- [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models)

## Related Articles

- [Cross Platform Mobile Development Frameworks to Use in 2025](https://www.wearedevelopers.com/magazine/404-cross-platform-mobile-development-frameworks-to-use-in-2025)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [A Guide to Choosing the Right Tools for App Developers](https://www.wearedevelopers.com/magazine/391-a-guide-to-choosing-the-right-tools-for-app-developers)
- [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [8 No-Code App Builders](https://www.wearedevelopers.com/magazine/300-8-no-code-app-builders)