AI Engineer Intern (Unpaid)
Role summary
ConsenTerra is seeking a remote AI Engineer Intern to contribute to the development of innovative AI tools focused on simplifying complex information in areas like digital privacy, entrepreneurship, and sustainability. The intern will collaborate on building AI-powered governance infrastructure, working on LLM-powered workflows, RAG pipelines, embeddings, and evaluation systems. This role involves hands-on experience in developing and training machine learning models, designing neural networks, and implementing NLP algorithms, with a focus on shipping real products from inception to launch in a fast-paced startup environment. The internship requires strong Python and LLM experience, familiarity with RAG and vector databases, and a builder mindset.
Company Description
ConsenTerra creates innovative AI tools to simplify complex information and empower better decision-making in areas like digital privacy, entrepreneurship, and sustainability. The company prioritizes clarity and transparency to support informed choices without overwhelming users. By focusing on practicality and ease of use, ConsenTerra enhances user confidence and trust. The organization's mission is to transform complexity into understanding, enabling individuals and organizations to align decisions with their values and long-term goals.
Role Description
This is a remote, internship role for an AI Engineer. The intern will collaborate with the team to develop and train machine learning models, design neural networks, and implement natural language processing algorithms. The role includes research, testing, and optimizing AI tools to align with the company's mission of simplifying complex information for users. We are building AI-powered governance infrastructure to make complex policies understandable and compliant.
You will work on:
- LLM-powered workflows (policy drafting, compliance, explainability)
- RAG pipelines, embeddings, and evaluation systems
- Shipping real product from 0→1 alongside founders
We are looking for:
- Strong Python + LLM experience (OpenAI / open-source)
- Experience with RAG, vector DBs, and production ML systems
- Builder mindset, comfortable in fast-moving startup environments