What are the responsibilities and job description for the Artificial Intelligence Engineer position at Iron Strong Health Initiative?
Iron Strong Health Initiative, Inc. | Remote | Part-Time
Iron Strong Health Initiative, Inc. is a 501(c)(3) nonprofit working to make early screening for preventable health conditions more accessible, starting with anemia.
We are developing a low-cost, smartphone-based anemia screening tool that analyzes lower-eyelid images to help identify possible anemia risk. Our long-term goal is to build technology that can support earlier detection in community and low-resource settings, where traditional screening may be limited by cost, access, or logistics.
We are looking for a motivated Software Engineer / AI Research Developer to help analyze publicly available image datasets and improve our computer vision model pipeline.
What You’ll Work OnYou may help with:
- Collecting and organizing publicly available image datasets
- Building scripts for image preprocessing, cropping, segmentation, and quality control
- Training and testing CNN/vision models such as ResNet, EfficientNet, ConvNeXt, or Vision Transformers
- Evaluating performance using F1 score, sensitivity, specificity, AUC, and related metrics
- Improving dataset documentation, reproducibility, and model comparison workflows
- Supporting development of a privacy-conscious AI pipeline for future research validation
Strong interest or experience in:
- Python
- Computer vision
- Machine learning / deep learning
- PyTorch, TensorFlow, OpenCV, or similar tools
- Data preprocessing and model evaluation
- Medical AI, public health, or health equity
Prior medical AI experience is helpful but not required. Reliability, curiosity, and ability to work independently matter most.
Direct BenefitsThis role offers the chance to contribute to a real nonprofit health technology project with potential public-health impact. Team members may gain:
- Hands-on experience with medical AI and computer vision
- Practical experience building research-grade ML pipelines
- Opportunity to contribute to an app already launched on iOS/Android
- Exposure to IRB-reviewed research, clinical validation planning, and health-tech development
- Potential involvement in future posters, abstracts, publications, or technical reports depending on contribution level
- Leadership and project ownership opportunities within a growing 501(c)(3) nonprofit
- Strong experience for students interested in medicine, AI, public health, global health, or startups
A stipend may be considered depending on funding availability, role scope, and level of contribution.
Time CommitmentRemote and flexible, approximately 3–6 hours per week.
How to ApplyPlease message me with:
- Your background
- Relevant coding or AI/ML experience
- GitHub, portfolio, or project links if available
- Why you are interested in this project
We are looking for people who want to help build technology that could make early screening more accessible, affordable, and scalable.