59 Remote AI Engineer Jobs

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

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πŸ€– AI Engineer
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September 29

DataStax

501 - 1000

Consult with clients to implement generative AI solutions for DataStax.

September 27

Hume AI

11 - 50

Engineer and writer for AI, focusing on emotional intelligence.

September 27

Viseven

501 - 1000

AI Architect/Engineer at Viseven Group, driving digital transformation for Pharma.

September 27

Viseven

501 - 1000

Develop machine learning applications for a leading B2B MarTech service provider.

September 27

Viseven

501 - 1000

Machine Learning Engineer at Viseven Group, focusing on Pharma digital transformation.

September 27

Trace3

501 - 1000

Director of AI Architecture shaping Trace3’s AI product strategy.

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Top companies hiring remote ai engineers

AERDF

11 - 50

Job Openings

Digibee

Enterprise Cloud Data Integration β€’ Digital Transformation β€’ Data Quality

201 - 500

Job Openings

IllFonic

Video Game Development β€’ Grass Roots Marketing β€’ Multiplayer Game Services

11 - 50

Job Openings

Mechanical Orchard

11 - 50

πŸ’° $2M Seed Round on 2022-10

Job Openings

Omada Health

Diabetes Prevention β€’ Digital Health β€’ Behavioral Science

201 - 500

πŸ’° $192M Series E on 2022-02

Job Openings

SafeBase

11 - 50

Job Openings

Remote ai engineer salary expectations

The average salary for remote ai engineers is $163,200 per year. This is based on data from 56 job openings.

Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate ai engineer salaries.

Below is a breakdown of salary data by years of experience:

Frequently asked questions

You need strong programming skills in languages like Python and R, knowledge of machine learning algorithms, experience with AI frameworks such as TensorFlow or PyTorch, and proficiency in data analysis and visualization. Problem-solving, critical thinking, and collaboration skills are also crucial.

Typically, a degree in computer science, artificial intelligence, data science, or a related field is required. A solid portfolio of projects and hands-on experience in AI development can be more important. Certifications in machine learning or AI-related courses may also be beneficial.

Responsibilities include designing and implementing AI models, analyzing large datasets, optimizing algorithms for performance, collaborating with data scientists and software engineers, and continuously learning about new AI trends and technologies.

Benefits include flexible work arrangements, the opportunity to work on cutting-edge technology, access to a global talent pool, reduced commuting costs, and enhanced work-life balance. Remote positions can also provide exposure to diverse industries and innovative projects.

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