2 Remote Entry-level AI Engineer Jobs (No Experience Required)
Explore flexible and work from home entry-level ai engineer positions available worldwide. Your career in truly remote companies - apply today.
October 17
BMAT Music Innovators
51 - 200
Internship for machine learning with music industry focus at BMAT.
September 20
Thermo Fisher Scientific
10,000+
AI Engineer role focused on Generative AI solutions at Thermo Fisher Scientific.
Remote ai engineer salary expectations
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 |
Frequently asked questions
You need programming skills in languages like Python or Java, a strong understanding of algorithms and data structures, and knowledge of machine learning frameworks such as TensorFlow or PyTorch. Familiarity with data analysis tools and basic statistics is also important.
Typically, you need a degree in computer science, data science, or a related field. Internships or coursework related to artificial intelligence or machine learning can enhance your qualifications. A strong portfolio or projects demonstrating your skills in AI can be advantageous.
Responsibilities include assisting in the development of AI models, analyzing datasets, conducting experiments to improve algorithms, collaborating with senior engineers, and documenting your work. You may also be involved in testing and debugging AI applications.
Benefits include the opportunity to work in a rapidly growing field, access to innovative projects, remote work flexibility, and the chance to learn from experienced professionals. Additionally, it offers a good work-life balance and potential for career advancement.