Salary for Mid-level / Intermediate AI Specialist in United States during 2024

Salary details

The average mid-level / intermediate AI Specialist salary lies between USD 65,000 and USD 120,000 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 3, 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, 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 | 23 jobs Python | 21 jobs Computer Science | 21 jobs Deep Learning | 18 jobs Engineering | 18 jobs NLP | 16 jobs Generative AI | 15 jobs LLMs | 14 jobs AWS | 13 jobs Research | 13 jobs SQL | 12 jobs GCP | 10 jobs Agile | 10 jobs Docker | 10 jobs APIs | 10 jobs Computer Vision | 9 jobs TensorFlow | 9 jobs Azure | 9 jobs Prompt engineering | 9 jobs PyTorch | 8 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 | 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 jobs

Salary Composition for Mid-level AI Specialist Roles

In the United States, the salary composition for a mid-level AI Specialist typically includes a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's profitability and individual performance metrics. Additional remuneration might include stock options, especially in tech companies or startups, and comprehensive benefits packages that cover health insurance, retirement plans, and other perks.

The composition can vary based on several factors:

• Region: Salaries in tech hubs like Silicon Valley, New York, or Seattle tend to be higher due to the cost of living and demand for tech talent.
• Industry: AI roles in finance or healthcare might offer higher bonuses compared to those in academia or non-profit sectors.
• Company Size: Larger companies often provide more structured bonus schemes and stock options, while startups might offer equity as a significant part of the compensation.

Steps to Increase Salary from a Mid-level Position

To increase your salary from a mid-level AI Specialist position, consider the following strategies:

• Skill Enhancement: Continuously update your skills with the latest 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 up higher-paying opportunities.
• Networking: Engage with professional networks and attend industry conferences to learn about new opportunities and trends.
• Leadership Roles: Seek opportunities to lead projects or teams, as managerial roles often come with higher pay.
• Switching Companies: Sometimes, moving to a different company can result in a significant salary increase, especially if you have specialized skills that are in demand.

Educational Requirements for Mid-level AI Specialist Roles

Most mid-level AI Specialist positions require at least a bachelor's degree in computer science, data science, mathematics, or a related field. However, many employers prefer candidates with a master's degree or higher, especially for roles that involve complex problem-solving and research. A strong foundation in mathematics, statistics, and programming is essential, as these are the core skills needed to develop and implement AI models.

Helpful Certifications for AI Specialists

While not always mandatory, certain certifications can enhance your credibility and demonstrate your expertise in AI:

• Certified Artificial Intelligence Practitioner (CAIP)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate

These certifications can help you stand out in a competitive job market and may lead to better job opportunities and higher salaries.

Experience Requirements for Mid-level AI Specialist Roles

Typically, mid-level AI Specialist roles require 3-5 years of experience in AI, machine learning, or data science. This experience should include hands-on work with AI models, data analysis, and programming. Experience in specific industries or with particular AI tools and platforms can also be advantageous. Employers often look for candidates who have successfully completed projects that demonstrate their ability to apply AI techniques to solve real-world problems.

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