
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…

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…
Headquarters: San Francisco, California, United States
Core offering: Expert-grounded data, RL environments, and human-data projects to improve model reasoning and safety
Founders: Fedor Paretsky; Kat Hu
Funding: Pre-seed round (reported 2024-09-25); Y Combinator listed as lead
Compliance: SOC 2 Certified
Data quality and safety for foundational AI models, including RL environment construction and domain-specialist human-data projects.
2024
Data and Analytics
500000
“Y Combinator; Team Ignite Ventures”
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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
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