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Entry Level Artificial Intelligence Analyst Jobs

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 ...

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 ...

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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 3, 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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Artificial Intelligence Engineer

Artificial Intelligence Engineer

Staffingine LLC

Bellevue, WA โ€ข On-site

$129K - $155K/yr

Contractor

Posted 26 days ago


Job description

Job Title: Artificial Intelligence Engineer
Job Location: Bellevue - Washington
Job Type: Contract

Job Description:

  • Lead the development and deployment of machine learning models and analytical solutions for business problems.
  • Partner with stakeholders to identify opportunities for data science to add value.
  • Design experiments and AB tests to evaluate product and feature performance.
  • Build predictive models optimization algorithms or forecasting systems as needed.
  • Analyze large complex datasets to derive actionable insights.
  • Communicate technical findings clearly to nontechnical audiences.
  • Mentor and support junior data scientists and analysts.
  • Ensure best practices in code documentation and reproducibility.

Required Qualification

  • Masters or PhD in Computer Science Statistics Mathematics or a related field.
  • Proficiency in Python or R and strong SQL skills.
  • Experience with ML frameworks eg scikitlearn XGBoost TensorFlow PyTorch.
  • Strong knowledge of statistics experimental design and causal inference.
  • Handson experience with data visualization tools eg Tableau Plotly Dash.
  • Ability to translate business questions into analytical problems.
  • Excellent communication and collaboration skills.

Mandatory Skills :ย Python - Data Science