We need researchers, engineers, organizers, writers, and domain experts — at every level of experience.
Contribute your skills to a specific project — data labeling, research review, technical writing, UX design, or community organizing. No minimum time commitment.
Learn more →Production-focused working internships across three tracks: Data Engineering, AI Engineering, and Science Research. Real work. Mentorship from day one.
View tracks →Academic researchers, institutions, and domain experts. We seek collaborators in sociology, psychology, environmentalism, neuroscience, political philosophy, and AI ethics.
Contact us →Help build training datasets for CommunityLLM and OVNN — reviewing, rating, and annotating AI-generated examples.
Domain experts review literature, evaluate sources, and help curate research collections for the Open Science Lab.
Technical writers and editors help make our systems accessible — from README files to educational guides.
Developers contribute to open-source repos — Python pipelines, YAML configurations, frontend tools.
Three tracks. Currently accepting interest for the Data Engineering track.
Build the pipelines that power our research and AI systems. Kestra orchestration, Python, LanceDB, manifest-driven architectures.
Fine-tuning, inference, RAG pipelines, multi-agent systems. Work with LiteLLM, Ollama, vLLM, and Langfuse.
Systematic literature review, knowledge extraction, dataset curation across four research domains.
Online applications are coming soon. To express interest now, email info@aihlabs.org with the subject line "Internship Interest — [Track Name]" and a short note about your background.
Internships are currently unpaid with a path to stipends as OLS secures funding. You will receive mentorship, real-world experience, and public credit for contributions to open-source systems.