For collaborations, founder conversations, hiring interest, and general inquiries, email contact@ajirresearch.com.
Contact
Ajir Research Labs is building research-led systems around AI, media, and reasoning. If your work fits that direction, reach out.
Best ways to reach us
For company updates and professional introductions, connect on Ajir Research Labs on LinkedIn.
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For public updates and lighter-touch contact, follow @ajir_research.
Team page
If you want to understand the current research direction first, review the team page and the published work in Research.
Who we want to hear from
- AI researchers and multimodal ML engineers who can work across model behavior, evaluation, retrieval, transcription, ranking, and grounded reasoning systems.
- Frontend and full-stack engineers who care about building fast, legible interfaces for knowledge inspection rather than generic chat surfaces.
- Infrastructure and data engineers who can shape pipelines for media processing, indexing, storage, observability, and system reliability in an early-stage environment.
- Research-oriented product designers who can turn abstract reasoning workflows into usable product decisions, clear information layouts, and disciplined interaction models.
- Technical product builders and startup generalists who are comfortable working across product operations, user research, tooling, documentation, and early execution gaps.
- Early investors who understand research-led product development, can back a disciplined small team, and are aligned with a long-horizon infrastructure thesis.
- Domain researchers and institutional partners working in media studies, cognition, epistemology, digital literacy, trust and safety, or knowledge integrity.
What helps when you reach out
A short note on your background, the area you want to contribute to, and why Ajir’s direction matters to you is enough. If relevant, include links to prior work, research, prototypes, writing, or systems you have built.
We are particularly interested in people who can operate with depth, work across disciplines, and handle the practical ambiguity of a small startup team without losing rigor.