Salary for Mid-level / Intermediate AI Specialist during 2024
💰 The median Salary for Mid-level / Intermediate AI Specialist during 2024 is USD 100,246
✏️ This salary info is based on 10 individual salaries reported during 2024
Salary details
The average mid-level / intermediate AI Specialist salary lies between USD 54,616 and USD 120,000 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.
- Job title
- AI Specialist
- Experience
- Mid-level / Intermediate
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 10
- Top 10%
-
- Top 25%
-
- Median
-
- Bottom 25%
-
- Bottom 10%
-
All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Top 20 Job Tags for Mid-level / Intermediate AI Specialist roles
The three most common job tag items assiciated with mid-level / intermediate AI Specialist job listings are Machine Learning, Python and Computer Science. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:
Machine Learning | 24 jobs Python | 23 jobs Computer Science | 23 jobs Engineering | 20 jobs Deep Learning | 18 jobs NLP | 16 jobs Generative AI | 16 jobs Research | 14 jobs LLMs | 14 jobs AWS | 13 jobs SQL | 12 jobs Docker | 11 jobs TensorFlow | 10 jobs GCP | 10 jobs Agile | 10 jobs APIs | 10 jobs Computer Vision | 9 jobs PyTorch | 9 jobs Azure | 9 jobs Prompt engineering | 9 jobsTop 20 Job Perks/Benefits for Mid-level / Intermediate AI Specialist roles
The three most common job benefits and perks assiciated with mid-level / intermediate AI Specialist job listings are Career development, Health care and Competitive pay. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:
Career development | 25 jobs Health care | 14 jobs Competitive pay | 9 jobs Equity / stock options | 8 jobs Flex hours | 8 jobs Team events | 8 jobs Conferences | 6 jobs Startup environment | 5 jobs Insurance | 5 jobs Parental leave | 4 jobs Medical leave | 4 jobs Salary bonus | 4 jobs 401(k) matching | 3 jobs Flex vacation | 3 jobs Wellness | 3 jobs Relocation support | 2 jobs Home office stipend | 2 jobs Travel | 1 jobs Gear | 1 jobs Fitness / gym | 1 jobsSalary Composition
The salary for a Mid-level AI Specialist typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly based on region, industry, and company size. In North America, particularly in tech hubs like Silicon Valley, the base salary might constitute 70-80% of the total compensation, with bonuses and stock options making up the rest. In contrast, in regions with a lower cost of living, the base salary might be a larger portion of the total compensation. Industries such as finance or healthcare may offer higher bonuses compared to academia or smaller startups. Larger companies often provide more comprehensive benefits packages, including health insurance, retirement plans, and professional development funds.
Increasing Salary
To increase your salary from a Mid-level AI Specialist position, consider the following strategies:
- Skill Enhancement: Continuously update your skills in emerging AI technologies and tools. Specializing in high-demand areas like deep learning, natural language processing, or AI ethics can make you more valuable.
- Advanced Education: Pursuing a master's or Ph.D. in AI or related fields can open doors to higher-paying roles.
- Leadership Roles: Transitioning into roles with leadership responsibilities, such as AI team lead or project manager, can lead to salary increases.
- Industry Switch: Moving to industries with higher pay scales, such as finance or tech, can also boost your earnings.
- Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.
Educational Requirements
Most mid-level AI Specialist positions require at least a bachelor's degree in computer science, data science, mathematics, or a related field. However, a master's degree is often preferred and can be a significant advantage. Coursework in machine learning, statistics, and programming is essential. Some roles may also require knowledge of specific AI frameworks and tools.
Helpful Certifications
While not always mandatory, certain certifications can enhance your profile:
- Certified Artificial Intelligence Practitioner (CAIP)
- TensorFlow Developer Certificate
- AWS Certified Machine Learning – Specialty
- Microsoft Certified: Azure AI Engineer Associate
- Data Science Professional Certificate (offered by platforms like Coursera or edX)
These certifications demonstrate your expertise and commitment to staying current in the field.
Required Experience
Typically, a mid-level AI Specialist is expected to have 3-5 years of experience in AI, machine learning, or data science roles. This experience should include hands-on work with machine learning models, data analysis, and programming. Experience in deploying AI solutions in real-world applications is highly valued. Additionally, familiarity with AI tools and platforms such as TensorFlow, PyTorch, or Scikit-learn is often required.
Related salaries
Want to contribute?
📝 Submit your salary info
Enter your own salary data for the current or past work year. It's quite simple and doesn't take more than a minute to fill out.
Go to salary survey📢 Share our salary survey
Share our "in-less-than-a-minute survey" with others working in the field of AI, ML, Data Science. The more data we have the better for everyone.
💾 Download the data
All collected information will be updated into a public dataset regularly and provided as a download free for anyone to use.
Go to download page🚀 Search for jobs & talent
If you're thinking about a career change or want to hire fresh talent quickly check out the jobs page.
Go to frontpageAbout this project
We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.
Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.