Live opening · Posted 5 days ago
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About the role
Description supplied by the original job listing.
Lexsi Labs is one of the leading frontier labs focusing on building aligned, interpretable, and safe Superintelligence. Most of our work involves creating new methodologies for efficient alignment, interpretability-led strategies and foundational model research across enterprise and tabular data. Our mission is to build AI systems that are powerful, transparent, and trustworthy by design.
We are the leading lab contributing to opensource tooling through our research and opensource tools including AlignTune, AgentTune, SafeTune, TabTune, CircuitKIT, DLBacktrace, InterpSuite, PruneKIT, CuratorKIT, and AuditKIT.
As a DevRel intern at Lexsi.ai, you will be the technical bridge between our platform and the developer community. You will work closely with engineering and product teams to help research scientists, developers, ML engineers, and data scientists succeed with lexsi.ai through high-quality demos, tutorials, direct community engagement, and feedback loops that improve developer experience.
The Role
As a Community & Growth Intern, you will help grow and support the researcher and developer community around Lexsi's open-source tools. You will work closely with our DevRel & GTM lead across outbound, Discord community management, launches, and user feedback.
Responsibilities
Work on the advanced tools and research from lexsi labs and create marketing artifacts - cookbooks, tutorials, demos etc.
Build and run outreach and community building activities
Write and test outreach sequences and track replies, engagement, and calls
Own day-to-day moderation of the Lexsi Discord
Answer general and first-line technical questions about our tools
Route deeper questions on fine-tuning, interpretability, alignment, and agents to the right research or engineering team
Support AMAs, GitHub releases, product launches, and community initiatives
Track community and outreach metrics and identify what is working
Surface recurring questions, documentation gaps, and product feedback to the wider team
Requirements
Strong written communication
Comfortable writing targeted cold outreach that does not feel like spam
Experience managing or moderating a Discord community
Highly organised and comfortable owning multiple workflows
Enough ML familiarity to follow conversations around LLMs, fine-tuning, interpretability, agents, or alignment
Comfortable working with researchers and engineers
Self-starter who can take ownership without constant direction
Nice to Have
Experience in developer relations, growth, community, or technical marketing
Familiarity with open-source developer communities and GitHub
Experience with Apollo, Reply.io, or similar outbound tools
Prior projects or coursework in fine-tuning, interpretability, evals, agents, or AI safety
Experience writing technical or developer-facing content
What Success Looks Like
More relevant researchers and engineers discover and use Lexsi's tools
Community questions are answered quickly and routed properly
Outbound consistently creates high-quality conversations
Launches and releases generate meaningful developer engagement
Community feedback improves our documentation, tooling, and content
Work arrangement
Yes
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