AI Research Intern (Amsterdam)

Rank my AI; Amsterdam; Hybrid; EUR 4,500 - 5,800; Full time

Benefits offered by this job

Mentorship from founders

Hybrid work from Amsterdam base

Job summary

RankmyAI is building RankmyAI 2.0, a market intelligence platform for the AI economy, and we seek an AI Research Intern to help shape it from the ground up.

You join the founding team to shape data: ensure correct taxonomy, prototype new data features, and surface insights that matter to users and stakeholders.

You will work in a flexible hybrid setup from Amsterdam, with mentorship from the founding team and opportunities to own measurable research outcomes.

Qualifications

• Pursuing MSc or final-year BSc in CS/AI/DS
• Strong Python development and production experience
• Experience with ML, generative AI or agents
• Ability to test models for validity, reliability and bias
• Familiarity with APIs, Postgres and Docker
• Ability to explain work to non-coders

Responsibilities

• Own data behind RankmyAI 2.0: three areas—classification, new data features, and insights
• Prototype data extraction, validate quality, and integrate features into the platform
• Identify and write up insights from the data for stakeholders

Skills

Python

Machine learning

Generative AI

Data analysis

APIs

Explainability

Education

MSc or final-year BSc in Computer Science / AI / Data Science

Tools

PostgreSQL

Docker

Job description

AI Research Intern - Help build RankmyAI 2.0

Governments, investors and companies make big decisions about AI every week, often based on hype, vendor pitches or guesswork. RankmyAI exists to replace that with independent data. We're now building RankmyAI 2.0, the market intelligence platform for the AI economy, and we're looking for an intern to build it with us.

• Hours: 32-40 hours/week
• Compensation: up to €520/month, based on study level and experience
• Start date: flexible, in consultation
• Working language: English or Dutch

RankmyAI is the independent research platform for the AI tool ecosystem. We are an initiative of the Centre for Marketing Innovation and the Centre of Expertise Applied Artificial Intelligence at Amsterdam University of Applied Sciences (HvA). We rank and track 63,000+ AI tools and publish monthly insights on how the AI economy is evolving. Governments, international organisations and AI hubs use our data for market monitors and reports, and our analysis made the front page of the Financieele Dagblad.

We have the data. Now we want to use it to show what AI companies actually do, how they compare, and where the market is going. The next phase is to build out the research engine: better taxonomies, smarter data, and signals that nobody else publishes.

The role

You join the founding team and share responsibility for the data behind RankmyAI 2.0. Your work covers three areas.

• Classification. Making sure every company lands in the right place in our taxonomy, consistently, as the database grows.
• New data. Adding new features to the platform to compare AI companies. You pick up the high-impact ones, define how they are measured, prototype the extraction, validate quality, and bring them into the platform. Each feature adds a new dimension for comparing AI tools and for industry analysis.
• Insights. Finding what the data says that nobody has published yet, and writing it up so anyone can follow.

In four months, you will have

• Measurably improved how tens of thousands of AI companies are classified
• Launched at least one new data feature on the live platform
• Published at least one analysis based on your work

About you

• Currently pursuing an MSc or final-year BSc in Computer Science, AI, Data Science, Computational Linguistics, or a related field
• You're a good Python developer. You take an idea from experiment to production, and keep improving it after it's live.
• You've worked with machine learning, generative AI or agents, and you know when each one fits.
• You test your models properly: is the output right, is it reliable, is it biased, and is it worth it?
• You know your way around APIs, Postgres and Docker.
• You can explain your work to people who don't code.

What you get

• Direct ownership of research that goes into a live product with an active audience
• Work across the full lifecycle, from taxonomy design through pipeline, publication, and user feedback
• Mentorship from the founding team
• Flexible hybrid working from our Amsterdam base
• A spot in a research initiative at exactly the moment it is gaining momentum