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Entry Level Data Ai Jobs (NOW HIRING)

$60 - $90/hr

Jobs / Entry-Level Data Scientist - AI Chatbot Development Entry-Level Data Scientist - AI Chatbot Development Full-time About the Role The Asia Group (TAG) is now accepting applications for a ...

Entry Level Data Scientist AAA is offering an exciting opportunity to join our Data Science team ... Support development and implementation of AI capabilities into insurance operations * Productionize ...

Entry Level Data Scientist AAA is offering an exciting opportunity to join our Data Science team ... Support development and implementation of AI capabilities into insurance operations * Productionize ...

$58.75 - $82.26/hr

... AI Academy ... From small training units & entry-level programs to long-term and global training concepts and data ...

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

... about AI/ML and its impact on the private equity space. Compensation: Pay Range: $100-$200/hr ... entry-level data science concepts) * Experience writing code in Python * Experience handling ...

Data Engineer

Denver, CO · On-site

$85 - $125/hr

We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us ... AI to create value at speed for organizations across industries. Our strategy is to be the ...

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering ... AI to create value at speed for organizations across industries. Our strategy is to be the ...

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering ... AI to create value at speed for organizations across industries. Our strategy is to be the ...

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Entry Level Data Ai information

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How much do entry level data ai jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for entry level data ai in the United States is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What is an entry level data AI?

Entry level data AI jobs are positions designed for individuals who are new to the field of artificial intelligence and data science. These roles often involve tasks such as data cleaning, basic data analysis, building simple machine learning models, and assisting senior team members with AI projects. Candidates typically need foundational skills in programming (like Python), basic statistics, and familiarity with AI concepts. Entry level roles may include job titles like Data Analyst, Junior Data Scientist, or AI Research Assistant. These positions provide an excellent starting point for building a career in the rapidly evolving field of data and AI.

What kind of projects and tasks can I expect to work on as an entry level data AI professional?

As an Entry Level Data AI professional, you can expect to support data collection, data cleaning, and pre-processing activities, as well as assist in building and testing simple machine learning models. You'll often work closely with data scientists and engineers, collaborating on projects that involve analyzing datasets, generating reports, and helping automate data pipelines. This role provides a strong foundation in both technical and collaborative skills, and you’ll have opportunities to learn from more experienced team members while gradually taking on more complex tasks as your skills develop.

What are the key skills and qualifications needed to thrive as an entry level data AI professional, and why are they important?

To thrive as an Entry Level Data AI professional, you need a foundational understanding of data analysis, statistics, and programming languages like Python or R, often supported by a relevant degree or coursework. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries (like scikit-learn or TensorFlow), and SQL databases is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret findings and collaborate with team members. These skills ensure you can process and analyze data effectively, contribute to AI projects, and drive actionable insights in a technology-driven environment.

What is the difference between Entry Level Data Ai vs Data Analyst?

AspectEntry Level Data AiData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic knowledge of AI/ML toolsBachelor's in Statistics, Data Science, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, startups, AI-focused teamsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in tech and AI development sectorsAcross multiple industries for data-driven decision making
Common Search & Comparison IntentUnderstanding entry-level roles in AIUnderstanding entry-level data analysis roles

Entry Level Data Ai roles focus on foundational AI and machine learning skills, often in tech environments, while Data Analyst roles emphasize data interpretation and visualization across various industries. Both roles require a strong analytical background but differ in technical focus and industry application.

Can I get an entry level data AI job with no experience?

Entry level data AI positions often require some foundational knowledge of programming, data analysis, and machine learning tools, but many employers are open to candidates with little to no professional experience if they demonstrate strong technical skills and a willingness to learn. Completing relevant coursework, certifications, or projects can improve your chances of securing such roles. Internships or entry-level training programs are also common pathways into data AI jobs for beginners.

What entry-level jobs are there working with AI?

Entry-level jobs working with AI include roles such as AI support technician, data annotation or labeling specialist, and junior machine learning engineer. These positions often require basic programming skills, familiarity with AI tools like Python or TensorFlow, and a foundational understanding of data analysis. They provide opportunities to gain experience in AI development, data management, and model training.
More about Entry Level Data Ai jobs

What are the most commonly searched types of Data Ai jobs?

The most popular types of Data Ai jobs are:

What states have the most Entry Level Data Ai jobs?

States with the most job openings for Entry Level Data Ai jobs include:

Infographic showing various Entry Level Data Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $40,504 per year, or $19.5 per hour.

Entry-Level Data Scientist - AI Chatbot Development

AIToolboard

Washington, DC • On-site

$60 - $90/hr

Other

Posted 5 days ago


Job description

Jobs / Entry-Level Data Scientist – AI Chatbot Development

Entry-Level Data Scientist – AI Chatbot Development

Full-time

About the Role

The Asia Group (TAG) is now accepting applications for a Entry-Level Data Scientist – AI Chatbot Development to join our Team. This role will be based in Washington, DC.The Asia Group is a dynamic strategic advisory firm that positions clients, ranging from Fortune 100 multinationals to innovative startups, for success in established and emerging markets across the Indo-Pacific region. Our team includes a diverse mix of partners and staff possessing decades of government, private sector, academia, and military experience. Our corporate philosophy emphasizes teamwork, collegiality, creativity, and entrepreneurialism. Our operational culture is fast paced and demanding yet strives to be flexible and fun. Beyond the pursuit of professional success, our leadership actively embraces the challenges and opportunities associated with growing a highly successful firm, including by investing time and energy in mentoring and leading staff.The Entry-Level Data Scientist will support TAG+ by analyzing datasets, developing simple predictive models, and contributing to the overall data strategy. This role is an excellent opportunity for a recent graduate or someone changing careers who is looking to gain hands-on experience in a fast-paced environment. The successful candidate will have a strong foundation in statistical analysis and natural language processing (NLP), along with a desire to learn and grow within the rapidly evolving field of AI and data science.

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