ZipRecruiter

Log In

2

Entry Level Data Ai Jobs (NOW HIRING)

The Hollister Group

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 ...

The Hollister Group

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 ...

Ookla

Data Engineer

Denver, CO · On-site

$85K - $125K/yr

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 ...

Ookla

Data Engineer

Denver, CO

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 ...

Ziff Davis

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

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

previous pagenext page

Showing results 21-40

All JobsData Ai JobsEntry Level Data Ai Jobs

Entry Level Data Ai information

See salary details

$11

$19

$28

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

As of Aug 17, 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 willing to consider candidates with limited experience if they demonstrate strong problem-solving skills and a willingness to learn. Gaining relevant skills through online courses, certifications, or personal projects can improve your chances of securing such roles. Internships or entry-level positions may also serve as stepping stones into the field.

What entry-level jobs are there working with AI?

Entry-level jobs working with AI include roles such as AI support technician, data annotation 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 labeling, and model testing.
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:

What job categories do people searching Entry Level Data Ai jobs look for?

The top searched job categories for Entry Level Data Ai jobs are:

Entry Level Data Ai jobs near you
Infographic showing various Entry Level Data Ai job openings in the United States as of August 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% In-person job distribution, with an average salary of $40,504 per year, or $19.5 per hour.

Entry Level Data Scientist/software developer

SynergisticIT

Irvine, CA • On-site

Other

Posted 6 days ago

Job description

1000’s of Job Applications and No Interviews or Job offers? Get Hired with a Process The Job Market is overcrowded and recruiters are using AI assessments to filter Candidates with no results which leads to career Gaps If you’ve been unemployed for over 3-6+ months, you’re not alone—and you’re not out of options. The tech industry is competitive, and having a career gap can make it harder to get callbacks. But at SynergisticIT, we specialize in helping candidates like you regain momentum, rebuild confidence, and get hired. Why You’re Being Overlooked—and How We Can Help Many employers today don’t just want a degree—they’re looking for job-ready developers with hands-on experience, relevant certifications, and up-to-date skills in today’s tech stack. Unfortunately, most CS grads don’t get that in college. Since 2010, we’ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience · Please check below links: · Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ · · please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Stop waiting for the phone to ring. Let’s start your tech career—together. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

Apply