Midcentury Labs
Midcentury Labs
Growth and Social Media Lead
Full-time
Hybrid
New York, NY,San Francisco, CA
$100K - $180K

$100K–$180K base salary

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?

  • Own Midcentury's X/Twitter presence end-to-end — this is the only platform that matters early on, and you'll be the sole person driving it
  • Work directly with researchers and co-founders to extract technical progress (benchmarks, evaluations, open-source artifacts, partnerships) and turn it into content that actually spreads
  • Distill complex AI data and world model concepts into posts that engage both frontier researchers and the broader AI Twitter audience
  • Build and execute a narrative strategy around launches, fundraising announcements, and research milestones that have been waiting for the right person to ship
  • Grow Midcentury's following to 10K+ and dramatically increase engagement rate within the first 90 days to 6 months
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

  • Built one of the largest available egocentric industrial datasets — over 1,000,000 hours of first-person, real-world interaction data for embodied AI and world models.

  • Partnered with several AAA-quality game studios to license high-quality 3D interaction and gameplay data at scale.

  • Developed a large-scale conversational dataset suite spanning underrepresented languages including Hindi, Arabic, and Finnish — 10,000+ hours with rich dialect metadata.


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.

Team size

6 employees

Founded

2024

Total funding

Oversubscribed round from a16z

Company locations

San Francisco +1
About the team

We are researchers and operators who have built and scaled some of the most consequential AI work of the last decade. Our founding team brings together experience from Stanford AI Lab, Scale AI, and DeepMind — and we tightly integrate science and product development in everything we do.

Tech stack
X/Twitter