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Entry Level Data Ai Jobs (NOW HIRING)

Entry-Level Data Analyst -- Start Your Career in Data With Practical Skills Data analyst roles are ... Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or ...

Data Scientist - NYC

Boston, MA · On-site +1

$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 Scientist - NYC

Newton, MA · On-site +1

$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 Scientist - NYC

Cambridge, MA · On-site +1

$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 Scientist - NYC

Lynn, MA · On-site +1

$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 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 Scientist - NYC

Bedford, MA · On-site +1

$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 Scientist - NYC

Quincy, MA · On-site +1

$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 ...

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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 Jul 27, 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.

Is AI taking data entry jobs?

Entry Level Data AI roles involve using artificial intelligence tools to automate data processing tasks. While AI can handle repetitive data entry work, human oversight and skills in data management and AI tools remain important, and many entry-level positions still require manual input and validation.

Can I get an AI job with no experience?

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

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.

What entry-level jobs are there working with AI?

Entry-level jobs working with AI include roles such as AI data analyst, machine learning technician, and data labeling specialist. These positions often require basic programming skills, knowledge of AI tools like Python or TensorFlow, and an understanding of data preprocessing and model training processes.

What are entry level data AI jobs?

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 most entry-level AI job?

An entry-level AI job often involves roles such as AI intern, data analyst, or junior machine learning engineer. These positions typically require basic programming skills in Python or R, understanding of machine learning concepts, and familiarity with tools like TensorFlow or scikit-learn, making them accessible to recent graduates or those new to the field.
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 July 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 Python Programmer/Data Scientist/Analyst

Entry Level Python Programmer/Data Scientist/Analyst

SynergisticIT

Arlington, VA • On-site

Other

Posted 24 days ago


Job description

Entry-Level Data Analyst — Start Your Career in Data With Practical Skills Data analyst roles are attractive because they sit at the intersection of business, technology, and decision-making. But entry-level data roles are also competitive. Employers want candidates who can write SQL queries, clean data, build dashboards, understand business metrics, and communicate insights clearly. A degree or certificate may help, but it is often not enough by itself. SynergisticIT is looking for candidates interested in data analytics, SQL, Python, Excel, Power BI, Tableau, business reporting, data visualization, and dashboard development. This role is well-suited for recent graduates, career changers, and candidates who enjoy solving problems with data. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client 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 Client 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/ SynergisticIT JOPP is good for aspiring data analysts because it focuses on job readiness, not just learning tools. Candidates can strengthen their technical stack, build portfolio-style projects, improve resume keywords, and prepare for interviews where they may need to explain SQL logic, dashboards, data-cleaning decisions, and business impact. If you are ready to turn your interest in data into a career path, Contact us 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.