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$133K

How much do artificial intelligence jobs pay per year?

As of Jun 9, 2026, the average yearly pay for artificial intelligence in the United States is $102,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Specialist, and why are they important?

To thrive as an Artificial Intelligence Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by relevant degrees or certifications. Proficiency in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with data processing tools are typically required. Critical thinking, innovation, and effective communication are essential soft skills that set top professionals apart in this field. These skills and qualities are crucial for designing robust AI solutions, collaborating across teams, and adapting to the rapidly evolving AI landscape.

What Is the Job Outlook for Careers in Artificial Intelligence?

The job outlook for careers in artificial intelligence is excellent. Over the next few decades, AI is expected to grow explosively as it becomes capable of accomplishing more tasks. With this growth comes the need for information technology experts to determine how and where to implement artificial intelligence at various companies. The United States Bureau of Labor Statistics expects computer occupations to increase by about 13% between 2016 and 2026. This is almost twice the average growth rate for all trades. Not all of these jobs involve artificial intelligence, but many of them do, and that number should increase over time.

What are Artificial Intelligence jobs?

Artificial Intelligence (AI) jobs involve creating, developing, and implementing computer systems that can perform tasks typically requiring human intelligence. These roles can include data scientists, machine learning engineers, AI researchers, and AI product managers. Professionals in these positions work on areas such as natural language processing, computer vision, robotics, and deep learning. AI jobs require strong backgrounds in computer science, mathematics, and programming, and are in high demand across industries like technology, healthcare, finance, and automotive.

What are some common challenges faced by professionals working in Artificial Intelligence roles, and how can they be addressed?

Professionals in Artificial Intelligence often face challenges such as keeping up with rapidly evolving technologies, managing large and complex datasets, and ensuring the ethical use of AI systems. Collaboration with data engineers, domain experts, and ethicists is crucial to overcome these hurdles. Continuous learning through courses, workshops, and industry conferences helps AI specialists stay updated, while strong communication skills aid in translating technical findings for stakeholders and integrating AI solutions effectively into business processes.

What is the difference between Artificial Intelligence vs Data Scientist?

AspectArtificial IntelligenceData Scientist
Required CredentialsTypically degrees in Computer Science, AI, or related fields; certifications in machine learning or AI toolsDegrees in Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work EnvironmentResearch labs, tech companies, AI startups, often focused on developing algorithms and modelsBusiness environments, analytics firms, tech companies, focusing on data analysis and insights
Employer & Industry UsageUsed across tech, healthcare, finance, and automotive industries for developing intelligent systemsUsed in finance, marketing, healthcare, and tech for data analysis, predictive modeling, and decision support

Artificial Intelligence professionals focus on creating intelligent systems and algorithms, while Data Scientists analyze data to extract insights. Both roles require strong technical skills, but AI emphasizes developing models, whereas Data Scientists focus on interpreting data to inform decisions.

More about Artificial Intelligence jobs
What cities are hiring for Artificial Intelligence jobs? Cities with the most Artificial Intelligence job openings:
What are the most commonly searched types of Artificial Intelligence jobs? The most popular types of Artificial Intelligence jobs are:
What states have the most Artificial Intelligence jobs? States with the most job openings for Artificial Intelligence jobs include:
What job categories do people searching Artificial Intelligence jobs look for? The top searched job categories for Artificial Intelligence jobs are:
Artificial Intelligence jobs near you
Infographic showing various Artificial Intelligence job openings in the United States as of May 2026, with employment types broken down into 78% Full Time, 17% Part Time, and 5% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.
6J7KI5-Software Engineer-Artificial Intelligence 5 - 6J7-Artificial Intelligence

6J7KI5-Software Engineer-Artificial Intelligence 5 - 6J7-Artificial Intelligence

Indotronix International Corporation

Cambridge, MA • On-site

$103 - $129/hr

Contractor

Posted 22 days ago

Job description

Indotronix is seeking an Onsite Job - Software Engineer-Artificial Intelligence 5, Cambridge, MA
 
Bachelors with 7+ years must
Shift: First
Start Time: 9:00 AM
End Time: 5:00 PM
Is Clearance Required To Start?: No
 
Job Description
The Client Company is seeking a broad range of experience levels including; Experienced, Senior, and Subject Matter Expert (SME)/Technical Lead Engineer (TLE) Level DevSecOps Software Engineers who will provide engineering support for a new SW engineering initiative involving AI tools.
This position will be physically located in Cambridge, MA.
Designs, develops, documents and implements appropriate and best-fit Artificial Intelligence algorithms and models using standard methods and tools considering ethical implications and potential biases. Uses existing AI tools to analyze their effectiveness in code generation, and application to avionics code. Collects, cleans, preprocesses and analyzes large datasets to ensure data quality, reliability and identifies patterns, trends, and insights. Tests, documents, and debugs Artificial Intelligence models and software systems. Trains, evaluates and optimizes performance and capabilities of Artificial Intelligence models. Conducts Safety Risk Management process for Artificial Intelligence models in accordance with organizational standards. Integrates and deploys efficient and scalable Artificial Intelligence models into production environments. Monitors, validates and improves in-production Artificial Intelligence models. Partners with cross functional teams and domain experts to understand business requirements, gather feedback, and iterate Artificial Intelligence models and algorithms. Researches and implements current and emerging technologies, tools, frameworks, and regulations in the engineering Artificial Intelligence environment and contributes to Artificial Intelligence Design Practice(s).
Technical Lead Engineer (Level 5)
• Oversees the design, development, documentation and implementation of appropriate and best-fit Artificial Intelligence algorithms and models using standard methods and tools considering ethical implications and potential biases.
• Oversees a small technical team to accomplish technical milestones, and contributes to the development of advanced AI software capabilities.
• Communicates technical progress, hurdles, proposed solutions, and team updates to Leadership.
• Research or publications in the AI software field are a strong plus, but not required.
• Strong willingness to leverage AI tools and technologies to accelerate software development and testing processes; familiarity with AI frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Experience in C, C++, Python, or modern coding languages.
• Familiarity with ADA or avionics software is a plus.
• Strong team player who enjoys collaboration and the fast-paced startup/high-tech culture.
• Excellent documentation and communication skills for effective collaboration with cross-functional teams.
• Leads design, development, documentation and implementation of appropriate and best-fit Artificial Intelligence algorithms and models using standard methods and tools considering ethical implications and potential biases.
• Ability to lead and help junior engineers in accomplishing technical engineering activities.
• Familiar with automated testing methodologies and frameworks (e.g., Google Test, PyTest) to ensure rapid and efficient test execution.
• Understanding of CI/CD practices and experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) to automate and optimize workflows a plus.
• Ability to collaborate effectively with HIL teams to integrate software with hardware-in-the-loop testing environments a plus.
Basic Qualifications (Required Skill/Experience):
• Bachelor's degree and typically 3 or more years' experience in a software engineering classification or a Master's degree with 1 year of experience in a software engineering classification.
• Must be able to work onsite in Cambridge, MA
• No relocation offered
Preferred Qualifications (Desired Skills/Experience):
• Education or experience in AI Algorithms and/or use of AI Tools
• Ability to obtain a U.S. Security Clearance if sponsored.
Typical Education/Experience:
Technical Lead Engineer (Level 5)
Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 7 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+3 years' related work experience, Master+5 years' related work experience).
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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