Salary for Mid-level / Intermediate AI Specialist during 2024

Salary details

The average mid-level / intermediate AI Specialist salary lies between USD 40,000 and USD 109,800 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 15, 2024

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, Computer Science and Python. 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 | 29 jobs Computer Science | 26 jobs Python | 25 jobs Engineering | 21 jobs Deep Learning | 19 jobs NLP | 19 jobs Research | 16 jobs Generative AI | 16 jobs LLMs | 15 jobs AWS | 14 jobs TensorFlow | 13 jobs PyTorch | 12 jobs SQL | 12 jobs Computer Vision | 11 jobs Docker | 11 jobs GCP | 10 jobs Agile | 10 jobs APIs | 10 jobs Azure | 9 jobs Pipelines | 9 jobs

Top 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 | 31 jobs Health care | 18 jobs Competitive pay | 12 jobs Team events | 12 jobs Equity / stock options | 11 jobs Flex hours | 11 jobs Conferences | 7 jobs Insurance | 7 jobs Startup environment | 6 jobs Medical leave | 5 jobs Salary bonus | 5 jobs 401(k) matching | 4 jobs Parental leave | 4 jobs Flex vacation | 4 jobs Wellness | 3 jobs Transparency | 2 jobs Relocation support | 2 jobs Home office stipend | 2 jobs Travel | 1 jobs Gear | 1 jobs

Salary 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.

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