AI Data & Engineering Intern Briink (AI & ESG)

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.

READ BEFORE APPLYING: Adding ashort intro video ( mandatory for this position. We do this to get a better sense of candidates before continuing the process and find it really helps. Any application without a video will be rejected by default. Find instructions at the bottom of the post. No cover letter is required. Thank you!

You will help build and maintain the datasets that power Briinks 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 youll 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 were building the AI tools that help them tackle it. If youre excited about working with data and improving real-world AI systems wed love to hear from you even if you dont meet every requirement listed above.