
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
Training data quality, model evaluation, and safety for large and frontier AI models
2024
Data and Analytics
500000 USD
“Y Combinator (lead/backing investor)”
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About the Project:
Sepal is conducting a research study to understand work excellence among computer user support specialists to establish professional benchmarks. Selected participants will share their professional background, design field-specific screening questions, and document substantial work projects as case studies.
Sample of reported job titles:
Help Desk Analyst, IT Support Specialist, Technical Support Specialist, Desktop Support Technician, Computer Support Technician, Customer Support Engineer, User Support Specialist
MUST-HAVE QUALIFICATIONS:
4+ years full-time experience as a computer user support specialist
English language fluency
U.S. residency
Access to a laptop or desktop computer with reliable internet
Technology proficiency: Comfortable with messaging, video calling, and uploading files
Ability to follow detailed written instructions and complete online tasks independently
COMPENSATION AND LOGISTICS:
Hourly pay: $40–60 per hour, plus task bonuses, based on experience and fit
Paid bi-weekly based on tracked and approved hours
Classification as 1099 independent-contractor; engagement is at-will
Entirely remote—work whenever you like as long as deadlines are met
Current employment in the field is not required