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Join Tether to develop AI models that drive innovation in digital finance and accessibility.
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Join Tether as an AI Engineer to develop innovative AI models for diverse applications.
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Join Tether to develop innovative AI models that advance digital finance solutions globally.
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Join Tether to build AI solutions and models, driving innovation in fintech remotely.
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Join Tether to lead AI model development in a remote team environment for fintech solutions.
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Work remotely at Tether, building accessible AI models for the fintech sector. Join a pioneering team in developing AI solutions.
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Join Tether in building AI models to revolutionize digital finance, operating entirely remote.
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The average salary for remote ai engineers is $159,240 per year. This is based on data from 117 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:
Experience | Number of roles analyzed | Average Salary |
---|---|---|
⚪️ Entry-level AI Engineer (0 yrs) | 1 | $62,963 |
🟢 Junior AI Engineer (1-2 yrs) | 5 | $138,680 |
🟡 Mid-level AI Engineer (2-4 yrs) | 29 | $152,508 |
🟠 Senior AI Engineer (5-9 yrs) | 63 | $157,936 |
🔴 Lead AI Engineer (10+ yrs) | 19 | $184,313 |
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.