Academic Content Developer - LLM Fine-Tuning and Alignment Engineer
Jalasoft Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Jalasoft. Remote, Colombia · contract.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build module materials, hands-on labs, a reference implementation, an evaluation setup and an instructor guide
- Tune a model using SFT, PEFT/LoRA, preference optimization and verifier-driven reinforcement learning
- Prepare domain data and document alignment checks in an audit report
- Create an evaluation rubric and apply it to assess model outputs
What you bring
- A master’s degree in computer science or a related discipline
- At least five years delivering production software, including two or more years in production AI or machine learning
- Hands-on production work with SFT, PEFT and preference optimization on real domain data, plus an alignment-audit record
- Public technical writing samples at publication quality and professional written English
- You can build the deliverable yourself to production standards and keep runs reproducible, with clear lineage
Who this fits
This contractor role suits a mid-level AI engineer who can personally build and document production-grade model-tuning work. It is remote from Colombia.
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
We're looking for a content developers for its Master in AI Systems Engineering. . You'll design module content, labs, a reference implementation, an evaluation harness, and an instructor guide.
A tuned model plus an audit report, covering SFT, PEFT/LoRA, DPO/KTO, verifier-driven RL, domain-data preparation, preference optimization, and alignment-auditing methodology — plus module content, labs, an evaluation rubric, and an instructor guide.
- Masters Degree in Computer Science or related.
- 5+ years shipping production software, 2+ years in production AI/ML.
- Production SFT, PEFT and preference-optimization experience on real domain data.
- An alignment-audit track record.
- Comfortable at multi-GPU scale, disciplined about run lineage
- Can build the artifact personally, to production standard.
- 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
Tech stack: Axolotl, Unsloth, PEFT, TRL, Hugging Face Inference Endpoints, Modal (H100 / A100 80GB), Weights & Biases, OpenRouter.
Benefits
- Remote work modality (home office).
- Joining a dynamic and growing organization with international reach.