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About Terac

Terac is the expert network powering frontier research. We make human labor accessible on-demand through a simple API. You tell us what job needs to be done and what kind of expert you need: we handle sourcing, screening, verification, and payouts.

We've raised $9M from Emergence, SignalFire, Audacious, and Z Fellows. We believe that as AI agents start running companies, the bottleneck won't be code, it'll be access to the right human at the right time.

We're hiring in-person engineers in San Francisco. If you build something great this weekend, we want to talk.


Our Berkeley Hackathon Challenge

This track is about making that model measurably better with data you collect yourself. The loop:

  1. Build the annotation environment. A simple app (a Vercel app works great) where an AI generates tasks or outputs and a human labels, rates, or compares them.
  2. We bring the annotators. Launch your task on Terac and we'll get real people to annotate it. You focus on the environment, not on recruiting or incentives. That part is on us.
  3. Fine-tune and prove it. Train a model on the data you collected and show a clear improvement over the base model.

Pull that off within 24 hours and you've built something genuinely impressive.


Judging Criteria

Criteria Weight What We're Looking For
Model Improvement 40% Improvement over the base model, credibly shown (ideally a before/after human eval via Terac)
Annotation Environment 35% Task design, creativity, and UX
Use of Human Data 25% Smart use of the human data (label quality, and getting signal efficiently within your credit)

Setup/Guidelines