Academic Content Developer (AI Optimization & Foundations)
Jalasoft Open · verified Sep 21, 2026 At a glance
Mid-level Content Creation role at Jalasoft. Remote, Mexico · contract.
Pay not stated Content Creation salary
Growth Roles summary, based on the employer's posting.
What you'll do
- Build a production-ready course artifact with an instrumented optimizer and analytical brief
- Create an optimizer from first principles rather than relying on a framework's built-in version
- Track gradient flow, learning-rate schedules, and regularization through diagnostics
- Explain technical concepts at publication standard through docs, workshops, chapters, or open-source materials
- Use experiments and documented settings to support reproducible educational content
What you bring
- A master's degree in computer science or a related field
- At least five years shipping production software, including two years working with production AI or ML
- Fluency in probability and information theory, including likelihood, entropy, and KL divergence
- Hands-on ability with Python, NumPy, scikit-learn, PyTorch, Jupyter, Docker, a cloud VM, Weights & Biases, Modal, and matplotlib
- Professional written English plus a track record of clear technical writing and reproducible workflows
Who this fits
This contract role suits someone who can combine production software experience with practical AI and ML implementation. You should be comfortable building educational artifacts yourself, writing for publication, and maintaining reproducible experiments. The role is remote in Mexico and includes a home-office work arrangement.
From the employer
Jala University is an innovative initiative designed to bridge the gap between academia and industry by delivering practical education tailored to industry needs, with a unique educational model integrating experts from both academia and industry.
Our goal is to transform the economies of underserved regions through the software industry, creating professional opportunities that impact individuals, communities, and regions, while leaving a lasting legacy for future generations
Requirements
- Masters Degree in Computer Science or related
- 5+ years shipping production software, including 2+ years in production AI/ML
- Able to implement optimizers from first principles (not by calling a framework's built-in optimizer) and instrument gradient flow, learning-rate schedules, and regularization diagnostics
- Working fluency in probability and information theory (likelihood, entropy, KL divergence)
- Able to personally build a course artifact to production standard, including an instrumented optimizer and analytical brief
- Hands-on with Python, NumPy, scikit-learn, PyTorch (basics through autograd/custom optimizer loops), Jupyter, Docker, one cloud VM (AWS/GCP/Azure), Weights & Biases, Modal (CPU + T4/A10), matplotlib
- Public writing samples showing technical explanation (docs, workshop material, book chapter, or open-source project known for its docs), including ability to write to publication standard
- Reproducibility discipline (pinned dependencies, containers, seeded runs, documented decoding parameters)
- Professional written English
Benefits
- Remote work modality (home office).
- Joining a dynamic and growing organization with international reach.
Not this one either?
Claude or ChatGPT reads the other 86,068 for you.
Get better matches →
