
Sepal AI empowers ambitious AI teams to build faster and safer foundational AI models by providing expert-grounded data at every stage of development. They focus on accelerating model iteration and ensuring quality through rigorous vetting and a vast pool of specialized PhD-level experts. Their services include providing novel training datasets, custom benchmarks, pre-launch testing, and agentic applications, all supported by a human-centric approach to AI development. Sepal AI is SOC 2 Certified and is relied upon by top AI labs that prioritize responsible and high-impact AI.

Sepal AI empowers ambitious AI teams to build faster and safer foundational AI models by providing expert-grounded data at every stage of development. They focus on accelerating model iteration and ensuring quality through rigorous vetting and a vast pool of specialized PhD-level experts. Their services include providing novel training datasets, custom benchmarks, pre-launch testing, and agentic applications, all supported by a human-centric approach to AI development. Sepal AI is SOC 2 Certified and is relied upon by top AI labs that prioritize responsible and high-impact AI.
What they do: Expert-grounded training data, RL environments, evaluation tooling, and model fine-tuning for frontier AI labs and enterprises
Headquarters: San Francisco, California, United States
Founders: Fedor Paretsky; Kat Hu
Stage / funding: Pre-Seed; raised a round announced Sep 25, 2024
Security / compliance: SOC 2 Certified
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Training data quality, model evaluation, and safety for large and frontier AI models
2024
Data and Analytics
500000 USD
“Y Combinator (lead/backing investor)”
Sepal AI is assembling a panel of expert Database Architects to support a cutting-edge AI benchmark project. Your insights will help us evaluate how well today’s AI systems understand and reason through real-world, expert-level database architecture problems.
This is part of a short-term, high-impact project designed to assess AI safety and capabilities in complex technical fields. We’re looking for professionals who’ve done work designing, scaling, and optimizing database systems in production and can help create the kinds of tasks that separate real expertise from surface-level understanding.
Sample of Reported Job Titles:
Database Architect, Data Architect, Database Designer, Solutions Architect – Data
This project is a great fit if you’ve ever:
-- Designed or optimized large-scale relational or NoSQL databases
-- Led data modeling, warehousing, or database migration efforts
-- Worked cross-functionally with dev teams to architect scalable solutions
-- Built schema from scratch and understand performance tradeoffs
-- Explained architectural decisions clearly to technical and non-technical teams
MUST-HAVE QUALIFICATIONS:
-- 4+ years full-time experience in a database architecture or equivalent role
-- English language fluency
-- U.S. residency
-- Access to a laptop or desktop computer with reliable internet
-- Technology proficiency: Comfortable with messaging, video calls, and file sharing
-- Able to follow detailed written instructions and complete online tasks independently
PROJECT DETAILS:
-- This is a short-term project running through December 29th
-- Total expected workload: 40–100 hours, flexible over the next 6–8 weeks
-- All engagements begin with a 2–4 day paid work trial
COMPENSATION AND LOGISTICS:
-- Hourly pay: $38–$152 per hour, plus task bonuses, based on experience and fit
-- Paid bi-weekly based on tracked and approved hours
-- Entirely remote—work whenever you like as long as deadlines are met
-- Current employment in the field is not required