Contribute directly to datasets and workflows that power AI tools for global organizations while gaining hands-on experience with real-world AI systems.
Location: Berlin or London · Internship · 6 months
At Briink, we build AI tools that help ESG and sustainability teams collect, manage, analyze, and report sustainability data at scale.
We are the AI partner for ESG teams at leading global organizations, including corporates such as Bayer, Deutsche Telekom, and Continental AG, as well as standard-setting organizations like CDP. Our platform helps organizations transform how sustainability data is collected, analyzed, and reported.
We are looking for an AI Data & Engineering Intern to support the development of datasets that power our AI systems. You will work closely with our engineering and AI teams to help build and improve the data pipelines and datasets used to train and evaluate our models.
You will help build and maintain the datasets that power Briink’s AI models and ESG analysis tools.
Your responsibilities will include:
Building structured datasets from existing data sources
Creating and curating new datasets for model training and evaluation
Supporting data labeling and annotation workflows
Writing small scripts and tools (e.g. Python) to process and organize data
Helping the team evaluate and improve AI model performance
Collaborating with engineers and product teams to support AI development
This role offers hands-on exposure to how real-world AI systems are built and improved in production environments.
We are looking for someone who enjoys working with data and building tools that help improve AI systems.
You likely bring:
Current studies in computer science, data science, engineering, or a related field
Some familiarity with Python or scripting
Strong analytical thinking and attention to detail
Familiarity with LLMs or modern AI tooling
The ability to work independently and solve problems
Nice to have:
Experience working with datasets, data labeling, or model evaluation
Exposure to ESG or sustainability topics
Experience working with large or messy datasets
Work on real AI systems
You will contribute directly to datasets and workflows that power AI tools used by global organizations.
Learn how production AI systems are built
Work closely with engineers and founders who have been building AI products for years.
Ownership and responsibility
From day one, you’ll work on real problems and contribute to the development of our platform.
Flexible working setup
We offer flexible working arrangements with team members based in Berlin and London.
Interested?
Sustainability teams are facing one of the biggest data challenges of the next decade, and at Briink we’re building the AI tools that help them tackle it. If you’re excited about working with data and improving real-world AI systems, we’d love to hear from you — even if you don’t meet every requirement listed above.
Merantix builds an AI-native platform designed to revolutionize yard operations through real-time intelligence, transparency, and automation, creating a data-driven environment for efficiency. We're focused on working with companies pushing the boundaries of AI technology, ensuring that both our investments and our internal processes are enhanced by automation to deliver quality at speed.
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