Remote AI Research Scientist Jobs in United States

4 AI Research Scientist jobs in United States available for remote work from home. Apply for positions such as AI Research Scientist, Applied AI , Senior Research Scientist, AI & Workforce Intelligence, Principal AI Research Scientist Post-Training · Alignment · Reinforcement Learning Autodesk AI Lab: London · San Francisco · Toronto · Remote (US/CA/EU and more! Discover the best work-from-home or hybrid, full- and part-time jobs.

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Remote AI Research Scientist Jobs in United States (4)

Search = AI Research Scientist Remote in = United States

AI Research Scientist, Applied AI

Slingshot Aerospace · Full Time · 1 Week Ago
Slingshot Aerospace
🌎 United States 💵 $120K - $170K per year ⭐ 2-5 yrs exp 💼 Software Development AI Research Scientist
Develop and integrate novel AI algorithms and models to augment physics-driven modeling and simulation systems for space sustainability. Collaborate with cross-functional teams to build mission-critical decision-support tools and contribute to technical publications and patents.

Senior Research Scientist, AI & Workforce Intelligence

Wonderlic · Full Time · 1 Week Ago
Wonderlic
🌎 United States 💵 $95000 - $110K per year ⭐ 5-10 yrs exp 💼 Software Development Research Scientist
Lead the development and scientific integrity of the AI-powered Jobs Engine to produce scalable job analysis insights. Act as the primary expert bridging I-O psychology and machine learning to ensure AI implementations are defensible and effective for employee selection and development.
Autodesk is hiring for remote Principal AI Research Scientist Post-Training · Alignment · Reinforcement Learning Autodesk AI Lab: London · San Francisco · Toronto · Remote (US/CA/EU
🌎 United States ⭐ 10+ yrs exp 💼 Software Development AI Research Scientist
Lead the development of post-training algorithms and alignment strategies to improve model reliability and controllability. Design evaluation frameworks for agentic behavior and long-horizon reasoning while partnering with infrastructure teams for scalable workflows.

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