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Entry Level Artificial Intelligence Analyst Jobs

We seek creative, rigorous analysts with a demonstrated ability to evaluate complex technical ... systems, artificial intelligence and machine learning, autonomous systems and robotics ...

PotomacWave is looking for an Intelligence Analyst to join our team supporting a Federal client in ... the entry-level in all-source analyses including relevant tradecraft. * The selection of an ...

PotomacWave is looking for an Intelligence Analyst to join our team supporting a Federal client in ... the entry-level in all-source analyses including relevant tradecraft. * The selection of an ...

Artificial Intelligence Engineer

Cleveland, OH · On-site

$111K - $133K/yr

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and ... Excellent problem-solving and analytical skills, with a keen eye for detail. * Strong communication ...

We seek creative, rigorous analysts with a demonstrated ability to evaluate complex technical ... systems, artificial intelligence and machine learning, autonomous systems and robotics ...

We seek creative, rigorous analysts with a demonstrated ability to evaluate complex technical ... systems, artificial intelligence and machine learning, autonomous systems and robotics ...

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Entry Level Artificial Intelligence Analyst information

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How much do entry level artificial intelligence analyst jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for entry level artificial intelligence analyst in the United States is $38.63, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $48.32 per hour, depending on experience, location, and employer.

Can I get an AI job with no experience?

Entry level artificial intelligence analyst positions often require some foundational knowledge of programming, data analysis, and machine learning concepts. While prior experience is not always mandatory, demonstrating relevant skills through coursework, certifications, or personal projects can improve your chances of securing such roles.

How much do entry-level AI analysts make?

Entry-level AI analysts typically earn between $60,000 and $80,000 annually, depending on location, education, and industry. Starting salaries may be lower in some regions but tend to increase with skills in programming, data analysis, and familiarity with AI tools like Python and machine learning frameworks.

What are good entry-level AI jobs?

Entry-level AI jobs include roles such as AI analyst, data analyst, machine learning technician, and research assistant. These positions typically require foundational knowledge of programming languages like Python, basic understanding of machine learning concepts, and familiarity with tools such as TensorFlow or scikit-learn.

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

To thrive as an Entry Level Artificial Intelligence Analyst, you need a solid understanding of statistics, programming (such as Python), and foundational knowledge in machine learning concepts, generally supported by a relevant degree in computer science or related fields. Familiarity with technical tools like TensorFlow, scikit-learn, SQL, and data visualization platforms is typically expected. Analytical thinking, problem-solving abilities, and strong collaboration skills help individuals stand out in this role. These skills and qualities are crucial for effectively analyzing data, building models, and contributing to AI-driven projects in a team environment.

What are some typical projects or tasks an Entry Level Artificial Intelligence Analyst might work on during their first year?

As an Entry Level Artificial Intelligence Analyst, you can expect to work on tasks such as cleaning and organizing datasets, creating basic machine learning models, assisting in data labeling, and supporting more senior analysts in model evaluation and testing. You'll likely collaborate closely with data scientists, software engineers, and business analysts to understand project requirements and contribute to solutions. These foundational projects help you build technical proficiency and gain exposure to real-world AI applications, setting the stage for more complex responsibilities as you grow in the role.

What is the difference between Entry Level Artificial Intelligence Analyst vs Data Analyst?

AspectEntry Level Artificial Intelligence AnalystData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI/ML toolsBachelor's in Statistics, Math, or related; proficiency in data visualization and SQL
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageOrganizations developing AI solutions, tech firmsOrganizations analyzing data for insights, reporting
Common Search & ComparisonYesYes

The Entry Level Artificial Intelligence Analyst focuses on developing and implementing AI models, requiring knowledge of machine learning and programming. In contrast, Data Analysts primarily interpret data, create reports, and support decision-making with statistical tools. While both roles analyze data, AI Analysts work more with algorithms and AI systems, often in tech-driven environments, whereas Data Analysts serve broader industries with data reporting and visualization tasks.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions such as AI research directors, chief AI officers, or senior data science executives, often in large corporations or tech firms. These roles usually require extensive experience, advanced skills in machine learning and deep learning, and may involve leadership, strategic planning, and overseeing AI projects or teams.

What does an Entry Level Artificial Intelligence Analyst do?

An Entry Level Artificial Intelligence Analyst assists in developing, implementing, and maintaining AI models and systems. They typically work under the guidance of senior analysts or data scientists, helping to collect, clean, and analyze data, and support the deployment of machine learning algorithms. Their role may also involve monitoring AI system performance and preparing reports to communicate findings. This position provides foundational experience for a career in artificial intelligence, allowing analysts to learn core AI concepts and tools.
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What job categories do people searching Entry Level Artificial Intelligence Analyst jobs look for? The top searched job categories for Entry Level Artificial Intelligence Analyst jobs are:
Artificial Intelligence (AI) Enablement Analyst II

Artificial Intelligence (AI) Enablement Analyst II

The Hillman Group, Inc.

Forest Park, OH • On-site

$67K - $85K/yr

Full-time

Posted 9 days ago


The Hillman Group rating

8.0

Company rating: 8.0 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

99th of 371 rated retail wholesalers


Job description

Job Summary
The Artificial Intelligence (AI) Enablement Analyst II facilitates enterprise AI adoption through operational support, business engagement, training development, and requirements gathering activities. The Artificial Intelligence (AI) Enablement Analyst II manages routine AI enablement processes while serving as a trusted resource for employees and stakeholders. Artificial Intelligence (AI) Enablement Analyst II contributes to successful AI implementation and adoption initiatives across the organization.
Essential Job Functions*
  • Manage intake, triage, and fulfillment of AI access and licensing requests.
  • Conduct license utilization reviews and identify optimization opportunities.
  • Design and deliver AI onboarding and adoption training programs.
  • Support employees in the effective use of Microsoft Copilot, Claude, and other approved AI technologies.
  • Gather and document business requirements for AI initiatives and enhancement requests.
  • Conduct stakeholder interviews and process reviews to identify business opportunities.
  • Maintain AI governance documentation, workflows, and operational processes.
  • Generate adoption reports and dashboards for business leaders.
  • Identify trends in support requests and recommend improvements.
  • Coordinate with IT, Security, and functional teams on AI-related activities.
  • Support pilot programs, user testing, and change management efforts.
  • Assist with implementation of new AI capabilities and organizational rollouts.
  • Other duties as assigned.

*This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice.
Employees are expected and encouraged to participate in safety and health program activities including immediately reporting hazards, immediately reporting unsafe work practices and incidents to supervisors, wearing required personal protective equipment, and participating in and supporting safety committee activities.
Education & Experience
  • Bachelor's degree in Business, Information Systems, Communications, Technology, or a related field required. Equivalent experience may be considered in lieu of degree.
  • Minimum 3 years of experience in business analysis, technology adoption, training, support operations, or program coordination required.
  • Experience gathering and documenting business requirements for technology, process improvement, or operational initiatives required.
  • Exposure to productivity tools and emerging AI technologies in an academic, professional, or personal setting required.
  • Experience supporting enterprise software rollouts, change management, or digital transformation initiatives preferred.
  • Working knowledge of Microsoft Copilot, Claude, Power Platform, or similar AI technologies preferred.
  • Experience developing reporting, dashboards, or metrics used to measure technology adoption preferred.

Competencies - Knowledge, Skills and Abilities
  • Knowledge of AI-enabled productivity solutions and business applications required to support enterprise adoption.
  • Ability to gather, analyze, and document business requirements in a structured and actionable format.
  • Skill in facilitating training sessions and communicating complex concepts in a user-friendly manner.
  • Ability to manage multiple concurrent projects, requests, and stakeholder expectations.
  • Knowledge of software governance, access management, and license administration practices.
  • Ability to analyze adoption data and identify opportunities to improve utilization and effectiveness.
  • Ability to build collaborative relationships across business and technical functions to achieve implementation objectives.

Operational Equipment
  • N/A

The Hillman Group is an Equal Employment Opportunity and Affirmative Action Employer and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, protected veteran or military status, genetic information, citizenship status, sexual orientation, gender identity, marital status, or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. The information collected by this application is solely to determine suitability for employment, verify identity and maintain employment statistics on applicants.

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