Datacor AI Engineer Intern Summer 2027 | Remote US | Master's or PhD
Apply by 25 Jan 2027
Key Facts
| Role | AI Engineer Intern |
|---|---|
| Company | Datacor |
| Location(s) | Remote, United States (travel possible) |
| Term | Summer 2027 |
| Pay | Not published on the posting |
| Deadline | Rolling — apply early |
Overview
Datacor builds ERP, CRM, and formulation software for process manufacturers. This internship is on the team that turns large language models into features those customers actually run: frame a problem, prototype with prompts and feedback, then put a reliable pipeline in production.
The seat is remote inside the United States, with travel possible depending on the project. The posting asks for people already in a master’s or PhD program who can work in Python and have used generative models, not only read about them.
Eligibility / Key Requirements
- Enrolled in a master’s or PhD program in computational data science, computer science, electrical or computer engineering, or a related field
- Hands-on work with large language models: embeddings, transformers, and fine-tuning or prompt-based generative apps
- Python, plus C++ or Java from coursework or a job
- Preferred: a prior internship, and some cloud deployment on AWS or Google Cloud
How to Apply
- Open the official application from EduBard’s Apply button.
- Create or sign in to your employer account.
- Submit your resume and any required materials before the window moves.
Compiled from the official posting; verify details on the employer site before applying.