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π Remote Jobs NetworkJanuary 28
51 - 200
πΊπΈ United States β Remote
π΅ $190k - $210k / year
π° $27.5M Series B on 2020-12
β° Full Time
βͺοΈ Entry-level
π§ AI Research Scientist
Artificial Intelligence β’ eHealth β’ Machine Learning
51 - 200
π° $27.5M Series B on 2020-12
The average salary for remote ai research scientists is $198,146 per year. This is based on data from 45 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 research scientist salaries.
Below is a breakdown of salary data by years of experience:
Experience | Number of roles analyzed | Average Salary |
---|---|---|
βͺοΈ Entry-level AI Research Scientist (0 yrs) | 2 | $177,500 |
π’ Junior AI Research Scientist (1-2 yrs) | 2 | $125,405 |
π‘ Mid-level AI Research Scientist (2-4 yrs) | 17 | $200,110 |
π Senior AI Research Scientist (5-9 yrs) | 20 | $199,469 |
π΄ Lead AI Research Scientist (10+ yrs) | 4 | $229,875 |
You need strong analytical and problem-solving skills, proficiency in programming languages like Python, knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch), and an understanding of data analysis and statistics. Good communication skills are also important for presenting research findings.
Typically, a bachelor's degree in computer science, data science, artificial intelligence, or a related field is required. Familiarity with research methodologies and a strong portfolio of projects can enhance your candidacy. Advanced degrees may be preferred but are not always necessary for entry-level positions.
Responsibilities include conducting literature reviews, developing algorithms, analyzing data, assisting in research projects, collaborating with senior scientists, and documenting research findings. You'll also be expected to stay updated on the latest developments in AI technologies.
Benefits include flexible work hours, the ability to work from anywhere, exposure to cutting-edge AI research, opportunities for continuous learning and professional growth, and the potential for competitive salaries in a rapidly growing field.