At a Glance
- Tasks: Clean and maintain datasets for AI models, automate data prep tasks, and document processes.
- Company: Innovative AI startup focused on deepfake detection and media authenticity.
- Benefits: Gain real experience, mentorship from PhD Data Scientists, and flexible remote work.
- Other info: Join a fast-paced, supportive remote team with no hierarchy.
- Why this job: Make a real impact in AI forensics while building a standout portfolio.
- Qualifications: MSc in AI, data science, or security; strong Python skills; detail-oriented.
Data Intern (AI Forensics & Deepfake Detection)
Industry: Cybersecurity · AI · Forensics · Information Technology
Cyberette · Remote · 6 months · Unpaid
You clean data. We catch deepfakes.
We're an AI startup building forensic tools that detect manipulated media. You'd be the person keeping our training data sharp — which means the models we ship are only as good as the work you do. No fake tasks, no coffee runs, no being ignored in standups.
Duration: 6 months | Hours: 25h/week min | Location: Fully remote
Timezone: CET overlap | Compensation: Unpaid | Level: MSc preferred
Yes, it's unpaid. We're being upfront about that. In return, you get real access to the codebase, the AI team, and the decisions. This stands out if you want a portfolio entry that shipped, not a "we built a demo" internship.
Backed by: NVIDIA Accelerator Program · Scale NL West Coast 2026 · NDA required
What you'll actually do
- Build and maintain image, audio and video datasets for our computer vision models
- Apply preprocessing and formatting — garbage in, garbage out is a real problem here
- Write Python scripts to automate repetitive data prep tasks
- Document sources, methods, and structures so the team can trust and use what you build
- Work directly with AI engineers and PhD researchers — ask questions, flag issues, contribute ideas
You're a fit if
- Python is your default — pandas, numpy, scripting, file handling. Not just "I know Python"
- You're doing or have finished an MSc in AI, data science, or security (or equivalent self-taught depth)
- You're detail-obsessed, as messy data breaks models and you care about getting it right
- You're self-directed, and we don’t need to chase you. You figure things out, ask smart questions, deliver
- You're available 25h/week min with CET overlap, goal-oriented not clock-watching
- Deepfakes, AI forensics, media authenticity genuinely interests you
What you walk away with
- A portfolio with work that actually shipped, not a course project
- Direct mentorship from PhD Data Scientists
- An inside view of how AI startup builds and ships
- Full remote flexibility - work from anywhere
- Thesis-eligible: can count toward MSc requirements at some universities (please check)
The vibe
Remote, international team that moves fast and treats everyone like an adult. No manager looking over your shoulder — but people who care whether you're learning and growing. No hierarchy, no performative busyness. Just ship good work and be a real part of the team. Different backgrounds make our AI better, so everyone is welcome here.
Sounds like you? Drop your CV and a note on why forensic AI interests you. No cover letter template, please.
Data Science Intern (AI Forensics) employer: Cyberette
Cyberette is an innovative AI startup at the forefront of cybersecurity, offering a unique opportunity for Data Science Interns to engage directly with cutting-edge technology in a fully remote environment. Our culture prioritises learning and growth, providing interns with real access to our codebase and mentorship from experienced PhD researchers, ensuring that your contributions are meaningful and impactful. Join us to build a portfolio that showcases your work on actual projects, all while being part of a diverse and supportive team that values your input and development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Intern (AI Forensics)
✨Tip Number 1
Network like a pro! Reach out to people in the AI and cybersecurity fields on LinkedIn or Twitter. Join relevant groups and forums where you can engage with industry professionals. The more connections you make, the better your chances of landing that internship!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to data cleaning or AI forensics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Be proactive during interviews! Prepare questions about the company’s approach to deepfake detection and how they handle data quality. This shows your genuine interest and helps you stand out as a candidate who’s ready to contribute.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team and eager to dive into the world of AI forensics.
We think you need these skills to ace Data Science Intern (AI Forensics)
Some tips for your application 🫡
Show Your Passion for AI Forensics:When you drop your CV, make sure to include a note that highlights why forensic AI excites you. We want to see your genuine interest in the field, so don’t hold back on sharing your thoughts!
Tailor Your CV:Make your CV relevant to the role by emphasising your experience with Python and any projects related to data science or AI. We’re looking for detail-oriented folks, so showcase your skills in data cleaning and preparation.
Be Yourself:We’re not after a cookie-cutter cover letter, so let your personality shine through in your application. Share your unique perspective and experiences that relate to the role — we love diversity!
Apply Through Our Website:To make sure your application gets to us, apply directly through our website. It’s the best way to ensure we see your CV and note, and it helps us keep everything organised!
How to prepare for a job interview at Cyberette
✨Know Your Python Inside Out
Since Python is your bread and butter for this role, make sure you can confidently discuss your experience with libraries like pandas and numpy. Be ready to share specific examples of how you've used these tools in past projects or coursework.
✨Show Your Detail-Obsessed Side
This position requires a keen eye for detail, so prepare to talk about times when your attention to detail made a difference. Whether it was cleaning data or ensuring accuracy in a project, have a couple of solid examples up your sleeve.
✨Ask Smart Questions
During the interview, don’t hesitate to ask insightful questions about the team’s current projects or challenges they face in AI forensics. This shows your genuine interest in the field and that you’re thinking critically about how you can contribute.
✨Express Your Passion for AI Forensics
Make sure to convey why forensic AI and deepfake detection excite you. Share any relevant experiences or projects that sparked your interest, as this will help the interviewers see your enthusiasm and commitment to the field.
