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27 Government Operations jobs

Showing 1–20 of 27 jobs

O

Washington, District of Columbia, US (Hybrid)

$221–258K / year

About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions.

1 wk. ago

O

Washington, District of Columbia, US (On-site)

$211–302K / year

About the Team The mission of the Applied AI Engineering team is to enable the secure and impactful implementation of GenAI solutions.

1 mo. ago

A

Seoul, KR (Hybrid)

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.

2 mo. ago

O

Washington, District of Columbia, US (Hybrid)

$234–260K / year

About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing…

3 mo. ago

A

British Columbia, CA (Hybrid)

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.

2 mo. ago

O

Washington, District of Columbia, US (Hybrid)

$162–234K / year

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing…

1 mo. ago

N

US (On-site)

$150–187.5K / year

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy.

2 mo. ago

A

Tokyo Prefecture, JP (On-site)

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.

2 mo. ago

O

San Francisco, California, US (Hybrid)

$180–260K / year

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing…

1 mo. ago

N

EMEA (Remote)

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.

2 days ago

A

San Francisco, California, US (On-site)

$170–220K / year

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.

2 mo. ago

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