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Artificial Intelligence Jobs (NOW HIRING)

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH

$111K - $133K/yr

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and contribute to the development of a robust AI-enabled solution. As an AI Engineer, you will be ...

Staffingine LLC

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Job Title: Artificial Intelligence Engineer Job Location: Bellevue - Washington Job Type: Contract * Lead the development and deployment of machine learning models and analytical solutions for ...

Nwacc

Facilitate discussions on the ethical, social, and economic implications of artificial intelligence. * Demonstrate practical use of AI tools and platforms (e.g., ChatGPT, Gemini, Copilot, Claude ...

FastTek

Artificial Intelligence Specialist

Dearborn, MI · On-site

Artificial Intelligence Specialist #1056879 Position Description: * Support our AI and ML engineering capability within the TOP platform, including model fine-tuning oversight, agentic orchestration ...

CreditOne

AVP, Artificial Intelligence

Las Vegas, NV · On-site

Description Position Summary The Assistant Vice President of Artificial Intelligence (AVP of AI) is responsible for leading delivery and execution of AI and machine learning capabilities within a ...

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How much do artificial intelligence jobs pay per year?

As of Jul 17, 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 are the jobs in artificial intelligence?

Jobs in artificial intelligence include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming, data analysis, and understanding of algorithms, often utilizing tools like Python, TensorFlow, or PyTorch.

What is an entry level job in AI?

An entry-level job in AI typically involves roles such as AI analyst, data analyst, or junior machine learning engineer. These positions often require foundational knowledge of programming languages like Python, basic understanding of machine learning concepts, and sometimes a relevant degree or certification. They provide opportunities to gain practical experience and develop skills in AI development and data analysis.

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior researcher, AI director, or executive role, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve leadership responsibilities, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Compensation at this level reflects the expertise, impact, and complexity of the work involved.

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 types of jobs are in artificial intelligence?

Jobs in artificial intelligence include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming, data analysis, and understanding of algorithms, often utilizing tools like Python, TensorFlow, or PyTorch.

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 July 2026, with employment types broken down into 60% Full Time, 20% Part Time, 7% Temporary, and 13% Contract. Highlights an 74% In-person, 13% Hybrid, and 13% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.

Artificial Intelligence Engineer

SCATR Corp.

Cleveland, OH

$111K - $133K/yr

Other

Re-posted 4 hours ago

Job description

Company Overview:

SCATR – THE DATA CAMOUFLAGE COMPANY™

Born from warfighter requirements and inspired by the animal kingdom’s natural defense mechanisms, we developed patented, quantum-resistant Data Camouflage™ technology for data in motion—safeguarding enterprises and the individuals who depend on them.

The STUN™ security platform empowers organizations to proactively secure data in motion across untrusted networks, providing data obfuscation, resiliency, and quantum-proof security. Our patented, quantum-resistant Data Camouflage™ technology allows enterprises to secure their data in motion across the world’s most hostile environments, addressing a critical gap in Zero Trust security architectures that often focus on protecting data at rest (ZTN) and data in use (ZTNA).

We integrate with global providers like Amazon Web Services, Microsoft Azure, Google Cloud and Equinix to enhance our placement and access, offering true edge to enterprise solutions.

SCATR is Zero Trust Transit™ security for data in motion.

Job Overview:

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and contribute to the development of a robust AI-enabled solution. As an AI Engineer, you will be responsible for designing, implementing, testing and maintaining high-performance AI and machine learning models and algorithms, ensuring its compatibility and optimization across diverse software deployments. This role involves working closely with software engineers and other stakeholders to build intelligent systems that enhance our business operations and product offerings.  The ideal candidate will have a strong background in AI, machine learning and data science, with experience in deploying AI solutions in a production environment.

Responsibilities:

  • Design, develop and maintain AI and ML Models and algorithms using the latest technologies and best practices. 
  • Collaborate with cross-functional teams, including product management and UI/UX design, to gather requirements and ensure the successful implementation of AI-driven features.
  • Optimize and fine-tune models for performance, accuracy and scalability.
  • Deploy AI models, processes, and systems for knowledge sharing and reproducibility.
  • Translate business requirements into technical designs and code implementations, ensuring the delivery of high-quality software solutions.
  • Write efficient and maintainable code that meets the project's functional and performance requirements.
  • Conduct thorough testing and debugging of applications to ensure software quality and reliability.
  • Work closely with Quality Assurance teams to identify and fix software defects and inconsistencies.
  • Stay updated with the latest industry trends, technologies and best practices for AI-enabled software development.
  • Participate in code reviews, provide constructive feedback and continuously seek opportunities for codebase improvement.
  • Collaborate with the DevOps team to automate build, deployment and testing processes.
  • Assist in providing timely resolution of customer-reported issues.

Why SCATR?

  • Innovative Technology: Work with cutting-edge technologies that are transforming data security.
  • Collaboration & Growth: Join a dynamic team where your contributions directly impact global organizations' ability to secure their data in motion.
  • Competitive Benefits: We offer a comprehensive benefits package, flexible working hours and the opportunity to work on impactful projects.

Preferred Requirements:

  • Bachelor’s or Master’s degree in computer science, Data Science, Artificial Intelligence, or a related field
  • Proven experience as an AI engineer, machine learning engineer, or similar role
  • Strong understanding of machine learning algorithms, neural networks, and deep learning
  • Proficiency in programming languages such as Python, R, C++, or Java
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Caffe, Keras, or similar
  • Knowledge of data preprocessing techniques and tools.
  • Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying AI models
  • Networking fundamentals (e.g. common protocols, network structures, etc.)
  • Experience with source control tools (e.g., Git) and project management systems.
  • Familiarity with Agile software development practices and the ability to work in a collaborative team environment.
  • Excellent problem-solving and analytical skills, with a keen eye for detail.
  • Strong communication and teamwork skills, with the ability to effectively collaborate with both technical and non-technical stakeholders.
  • Ability to work in a fast-paced, dynamic environment and quickly adapt to changing priorities and project needs.

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