39 Remote AI Researcher Jobs

Explore flexible and work from home ai researcher positions available worldwide. Your career in truly remote companies - apply today.

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AI Researcher
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Yesterday

NVIDIA

10,000+

Join NVIDIA as an Applied AI Researcher, developing AI solutions for Digital Characters and Avatars. Utilize your expertise in Deep Learning and computer graphics to revolutionize this technology.

Yesterday

Join AI Solutions at Your Personal AI as an AI Research Scientist to develop cutting-edge AI models and algorithms.

5 days ago

Join Articul8 AI as an Applied AI Researcher, developing algorithms for Generative AI products. Collaborate on innovative projects shaping the future of AI technology.

5 days ago

Join Articul8 AI as an Applied AI Researcher, developing algorithms for Generative AI products. Collaborate on innovative projects shaping the future of AI technology.

October 31

Kiva AI

2 - 10

Seeking AI Researcher to develop multilingual AI models for global customers.

October 31

Kiva AI

2 - 10

Seeking AI Researcher to develop multilingual AI models for global customers.

October 22

Cerence Inc.

1001 - 5000

Lead development of generative AI models at Cerence for transportation solutions.

October 19

FactFinder

51 - 200

Develop AI tools for product discovery at FactFinder, enhancing search capabilities.

October 19

FactFinder

51 - 200

Develop AI tools for product discovery at FactFinder, enhancing search capabilities.

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Top companies hiring remote ai researchers

Aledade, Inc.

Accountable Care Organizations (ACOs) • Health Information Technology • Data Analytics

501 - 1000

Job Openings

Datasite

M&A • Virtual Data Rooms • Due Diligence

1001 - 5000

Job Openings

Kiva AI

AI • human feedback • artificial intelligence

2 - 10

🔥 Funding within the last year

💰 Seed Round on 2024-10

Job Openings

Orbital Sidekick

Oil • Gas • Space

11 - 50

Job Openings

Frequently asked questions

You need strong analytical and programming skills, proficiency in languages like Python or R, and a solid understanding of machine learning algorithms and data analysis. Critical thinking, problem-solving, and familiarity with AI frameworks such as TensorFlow or PyTorch are also essential.

Typically, a degree in computer science, data science, artificial intelligence, or a related field is required. A master's or PhD can be beneficial, but having a strong portfolio with relevant projects and publications often carries more weight.

Responsibilities include designing and conducting experiments, developing models and algorithms, analyzing data to derive insights, collaborating with other researchers and engineers, and presenting findings to both technical and non-technical audiences.

Benefits include the flexibility to work from anywhere, opportunities to collaborate on cutting-edge technologies, access to a diverse range of projects, and the chance to contribute to meaningful advancements in AI while enjoying a healthier work-life balance.

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