About this role
We are looking for a Social Media Lead with 1-4 years of experience to own Midcentury's external narrative on X/Twitter and make us one of the most relevant voices in frontier AI. You'll work directly with the co-founders to distill cutting-edge research in AI data, world models, and robotics into compelling content that resonates with researchers and technical builders. This is a rare opportunity to define the public identity of an a16z-backed multimodal data research lab from the ground up — at a moment when the company is ready to go from stealth to spotlight. The ideal candidate is chronically online, deeply fluent in the AI ecosystem, and has a proven instinct for what spreads on AI Twitter.
What will you be doing?
0 - 3 years of experience running content (primarily X/Twitter) for a technical or AI company
Salary: $100K - $180K ($100K–$180K base salary)
Equity: Competitive equity
Visa sponsorship available: H-1B visa sponsorship available for the right candidate. Relocation assistance also available.
Hybrid work policy: 3-4 days in-office in New York (remote-friendly for candidates based in SF)
Full-time position
Location: New York, NY, San Francisco, CA
Tech stack: X/Twitter
About Midcentury Labs
The intelligence of a model is only as rich as the data it learns from. We believe the next leap in AI capability will not come from architecture alone — it will come from data that captures the full texture of how the world actually works.
Midcentury is a multimodal data research lab building the data layer for real-world AI. We develop and structure large-scale, high-fidelity datasets across voice, egocentric vision, gameplay, and robotics — and build the infrastructure to make this data directly usable in training and evaluation.
Our approach
Most training data is assembled opportunistically. We work the other way: we form a perspective on where model capabilities are heading, design data shapes that capture the behaviors those models will need, validate them through internal R&D against real performance, and scale what works.
This research-driven process lets us build structured multimodal data aligned with real-world interaction and long-horizon tasks — data that is not just large, but shaped with intent.
To date
Our data powers frontier voice systems, world models, and embodied agents. We work closely with many of the world's leading AI labs and recently raised an oversubscribed Series A round led by a16z.