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Office Assistant
Pareto AI
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About this role
ABOUT PARETO
Humanity is in a virtuous cycle: human insight improves AI, and better AI expands what people can do. Sustaining it depends on the one input that can't be automated: expert human judgment https://pareto.ai/blog/debating-persuasive-llms-truthful-answers.
At Pareto, we build the platform that turns that judgment into the data https://pareto.ai/blog/community-driven-knowledge-resource-ai, evals https://pareto.ai/blog/introducing-attunebench, and RL environments frontier models https://pareto.ai/blog/llm-metacognition-shared-and-shallow learn from. We work with leading frontier labs like Anthropic and GDM, and we give skilled people everywhere a way to shape the future of AI and share in what it creates.
This RL environment and human-data infrastructure is already in production. Our job now is to scale it.
The Role
The office runs well because someone owns it. That's this role. You'll own the physical experience of Pareto's San Francisco office: common areas, the kitchen, supplies, deliveries, and the small things that add up fast when nobody is watching them. You'll work alongside the operations team and, in practice, with everyone who walks through the door.
Good looks like a space nobody has to think about. The kitchen is stocked before anyone notices it's low, the broken chair is gone before someone reports it, and the coffee is ready before the first person arrives. You won't be managing a team or an office budget. You'll be the person who owns whether the space works, and within a few months, the person people go to when something needs handling.
What You'll Own
- The office environment. Common areas clean and organized, packages and deliveries handled, maintenance issues caught while they're still small.
- Kitchen and coffee station. Yours end to end. Inventory, restocking, appliances, daily organization. The coffee station is ready before the team is.
- Supply levels. Regular inventory walkthroughs, with restock requests going in early rather than the day something runs out.
- Errands. Occasional off-site runs for mail, packages, and local pickups.
- Office events. Support for team gatherings and in-office events when they come up.
What We're Looking For
- You show up consistently. The team depends on the space being ready, and that starts with you being there when you said you would.
- You notice things. A low paper towel roll, a wobbly chair, a package sitting in the lobby. You catch it before someone else has to mention it.
- You work well on your own. Most of this role is self-directed. You don't need a daily checklist to know what needs doing.
- You handle logistics without drama. Packages, vendors, deliveries, the occasional run across the city. Small stuff, and it has to actually get done.
- You're comfortable around people. The office is busy and social. That suits you.
- You want something steady. This isn't a gap-filler. We're looking for someone who plans to stick around.
You Probably Aren't the Fit If You
- Need direction to know what to do each day. This role runs on initiative.
- Are looking for something short-term. We're building a working relationship, not filling a slot.
- Find busy offices draining. People come and go here all day.
- Need the hours to flex down some weeks. The 10-hour minimum is a commitment, not a target.
Compensation
$30 per hour. The role runs a minimum of 10 hours a week across at least 3 days, flexible within those hours, and the 10-hour minimum is firm.
Why Pareto
The team here builds the data and RL infrastructure that trains models at Anthropic and GDM. That work happens in this office, and it goes better when the space does. This is part-time work that's flexible, consistent, and visibly useful.
Apply even if you don't match every line above. We care more about how you think than about a clean résumé.
Salary insight
This posting doesn't disclose pay. Across 8,372 San Francisco jobs with disclosed salaries on ForgeApply, the median is $200k.
Based on live postings with disclosed pay on ForgeApply; refreshed daily. Not an estimate of this employer's offer.
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