Tutor builds generally capable robots and puts them to work. Delivered in days not years, from $14 an hour. Backed by AI Grant and USV.
About the role
We’re looking for someone who actually likes this work: who finds a clean benefits reconciliation satisfying, reads the fine print, and gets a quiet thrill out of knowing the answer before someone asks. You’re meticulous without being rigid, you can translate a regulation into a plain-English answer for an employee who is stressed, and you know when a question is yours to answer and when it needs a lawyer. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 4+ years in HR compliance, benefits administration, or a combination of the two, at a company with employees in multiple states
- Experience running an open enrollment and working directly with a benefits broker and carriers
- Working knowledge of multi-state employment law and the judgment to know when to escalate to counsel
- Meticulous with details and deadlines, you keep a tracker and it is always right
- Discreet, calm, and kind with employees in sensitive situations
- Based in or willing to relocate to the Boston area, this role is in-office in Watertown, MA
More about this role
We believe robots are the biggest lever we have to making the physical world a better, more affordable place. But robots are a rounding error in our society: nearly nine out of ten American factories and warehouses don’t even have a single robot, and robots have yet to make their way into our homes or places of business.
Tutor Intelligence is changing that.
Tutor is a robotics research and deployment company, building generally capable robot hardware and artificial intelligence to enable robots to go where no robots have gone before. Sonny is a semi-humanoid robot with frontier dexterity approaching the human form. Cassie does back-breaking work, moving boxes, pallets, and bulk goods for businesses from family-owned manufacturers to some of the largest brands in the world. Tutor robots are manufactured at scale and operate as a network, combining the whole fleet’s learned experience to train ever more capable robot artificial intelligence.
Founded at MIT and headquartered in Watertown, MA, our team is full stack: we design and manufacture robot hardware, train our own models, work directly with the smallest and largest end-customers, and maintain our fleet across the United...
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