Long-term internship, part-time
Applied AI Engineering Intern
A paid, remote, part-time internship planned around your classes and exams. You plan your own working days and hours, and we agree the rest in writing before you start.
01About the role
Paid, part-time and planned around your studies.
This is a paid, long-term AI and software internship, remote and part-time. You plan your working days and hours around your timetable, share your availability with the team and agree meetings, feedback and delivery dates together.
There are no fixed weekly hours and no duration set in advance. You can adjust around exams and timetable changes if you tell the team ahead of time. Pay, duration and hours are confirmed in writing before you start.
You do not need a mandatory internship requirement to apply. We confirm the right contract and insurance before the placement begins.
02The work
From a small problem to a working demo.
Understand the problem
Map a business problem: its inputs, the workflow and the outputs it should produce.
Test prompts
Design prompts, compare the responses and build a small evaluation set to check accuracy.
Build a simple tool
Build a simple AI-assisted application or automation with code and APIs.
Learn the everyday tools
Work with Git, basic testing, documentation and a suitable cloud sandbox.
Show a working demo
Present your demo, explain your decisions and improve it with feedback.
Learn with a supervisor
Your assignment matches your level and the agreed internship scope. A named supervisor gives regular feedback; you will not own client delivery alone.
03Who should apply
Basic skills, and the curiosity to build on them.
At university
A university student (for example at Istanbul Technical University, İTÜ), ideally in Mathematics Engineering or Computer Engineering, and able to manage part-time work alongside your studies.
Working English
Good enough to read documentation, write short notes and explain your approach.
Basic programming
Variables, conditions, functions and data flow in at least one language.
Interest in how software works
Familiarity with software products, and curiosity about how applications, APIs and databases work together.
Willingness to try and check
You ask questions, try unfamiliar tools and check what AI tools give you.
No professional experience or previous internship is required. Coursework and self-directed learning count.
04Helpful, not required
Useful extras, not a checklist.
A project you can explain
A university project, hackathon entry or personal experiment you can walk us through.
Some code and APIs
Some Python or JavaScript/TypeScript, Git, JSON or HTTP APIs.
A deployment platform
You have tried Azure, AWS, Google Cloud or another deployment platform.
AI and automation tools
You have used an AI assistant, a coding tool or an automation tool.
A public portfolio and cloud certifications are not required. We care about your contribution and how you learn.
05How it works
What happens after you apply.
01
Apply in English
Share your studies, weekly availability, preferred dates and, if you like, a CV or project link.
02
Talk it through
Selected applicants discuss a project or learning exercise with us in a short conversation in English.
03
Work a small example
We may work a short fictional problem together; AI tools are welcome if you explain what you checked.
04
Agree the details
We review your proposed schedule, agree the training plan, supervisor, pay and dates, then the contract and insurance.
The exercise is never unpaid client work. This internship does not guarantee a later job offer; graduates can join the Forward Deployed AI Engineer talent pool.
06Apply
Tell us about your studies and availability.
Include your university, department, year, available days and hours, estimated weekly hours, earliest start, expected duration and exam periods. Please do not upload identity documents or sensitive records.