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Entry Level Artificial Intelligence Engineer information

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$30K

$69.4K

$118K

How much do entry level artificial intelligence engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for entry level artificial intelligence engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

How can I become an AI engineer with no experience?

To become an entry-level AI engineer with no experience, focus on building foundational skills in programming languages like Python, learn machine learning concepts, and complete online courses or certifications. Gaining hands-on experience through projects, internships, or contributing to open-source AI initiatives can also improve your prospects in this field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, research scientist, or executive roles, often involving advanced skills in machine learning, deep learning, and data analysis. These roles usually require extensive experience, specialized knowledge, and may include stock options or bonuses that contribute to the total compensation. Entry-level AI engineers generally do not earn this level of salary, which is more common among senior professionals or those in leadership positions.

What kind of projects or tasks do Entry Level Artificial Intelligence Engineers typically work on?

Entry Level Artificial Intelligence Engineers often assist with data collection and preprocessing, implement and test machine learning models, and support research or production teams in developing AI solutions. You may help analyze large datasets, tune model parameters, write scripts for automation, and contribute to code reviews or documentation. Collaboration is common, as you’ll often work closely with data scientists, senior AI engineers, and product managers to advance ongoing projects. These experiences provide a strong foundation for developing your technical skills and understanding how AI solutions are built and deployed in real business environments.

What are the key skills and qualifications needed to thrive in the Entry Level Artificial Intelligence Engineer position, and why are they important?

To thrive as an Entry Level Artificial Intelligence Engineer, you need a solid background in programming (especially Python), mathematics (linear algebra, statistics), and foundational machine learning concepts, often demonstrated through a relevant degree or project experience. Familiarity with key AI frameworks such as TensorFlow or PyTorch, version control systems like Git, and optionally certifications like Google’s TensorFlow Developer Certificate are valuable assets. Strong problem-solving skills, curiosity, and the ability to collaborate and communicate clearly within teams will help you stand out. These competencies are crucial for contributing effectively to real-world AI projects, learning on the job, and advancing in this rapidly evolving field.

How to get a job in artificial intelligence with no experience?

Entry-level artificial intelligence engineer roles often require foundational skills in programming, mathematics, and machine learning. Gaining experience through online courses, personal projects, internships, or certifications in tools like Python, TensorFlow, or PyTorch can improve your chances of securing such a position without prior work experience.

What are good entry-level AI jobs?

Entry-level AI jobs include roles such as AI analyst, data analyst, machine learning technician, and junior AI engineer. These positions typically require foundational knowledge of programming languages like Python, basic understanding of machine learning frameworks, and often an internship or certification in AI or data science. They provide opportunities to gain practical experience and develop skills in AI development and deployment.

What is an Entry Level Artificial Intelligence Engineer job?

An Entry Level Artificial Intelligence Engineer is responsible for developing AI models, writing algorithms, and working with data to build intelligent systems. They typically assist in training machine learning models, optimizing performance, and integrating AI solutions into applications. This role requires knowledge of programming languages like Python, machine learning frameworks, and data processing techniques. Entry-level AI engineers often collaborate with data scientists and software engineers to improve AI functionalities. Employers usually look for candidates with a degree in computer science, engineering, or a related field, along with hands-on experience in AI projects.

More about Entry Level Artificial Intelligence Engineer jobs
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Entry Level Artificial Intelligence Engineer jobs near you
Infographic showing various Entry Level Artificial Intelligence Engineer job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

Artificial Intelligence Managers

Jobs for Humanity

Atlanta, GA

Other

Posted 7 days ago

Job description

Company Description
Jobs for Humanity is collaborating with Upwardly Global and with PRGX Global to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.
Company Name: PRGX Global
Job Description

About PRGX Global, Inc
ABOUT PRGX
We provide the business intelligence to unlock incremental value from data and expand impact across our clients' organizations for healthier whole businesses. PRGX pioneered Recovery Audit nearly 50 years ago and is now the global leader in source-to-pay analytics and margin expansion. PRGX empowers clients in more than 30 countries with the business intelligence to recover $1.2 billion in annual cash flow, unlocking value and improving the overall health of organizations across the world. We collaborate with supplier communities to realize improved profits and deliver the tools to optimize processes, finding immediate and lasting value. With end-to-end technology and deep vertical expertise that underpins our recovery, preventive, and analytics solutions, we provide the actionable insights to minimize leakage, optimize cash flow, and shape stronger, healthier businesses. For additional information on PRGX, please visit www.prgx.com.
Job Description
SUMMARY: We are seeking a talented AI Intern or a co-op with Natural Language Processing (NLP) and Generative AI skillsets to join our team. This role will report to the Director, Artificial Intelligence and based out of PRGX's Atlanta office. The ideal candidate will be pursuing a Master of Science or PhD degree in a relevant field, has academic/industry experience applying NLP, artificial intelligence techniques to solve complex data problems. As a member of our AI team, you will be responsible for designing and implementing machine learning models to extract insights and drive decision making across the organization.
JOB DUTIES & RESPONSIBILITIES
- Apply machine learning algorithms and statistical models to large datasets to identify trends, patterns, and relationships.
- Collaborate with cross-functional teams to understand business objectives and develop data-driven solutions.
- Design and implement end-to-end machine learning pipelines, from data preprocessing to model training, evaluation, and deployment.
- Stay up to date with the latest research and developments in machine learning and artificial intelligence.
- Communicate complex data insights and findings to non-technical stakeholders through visualizations and presentations.
WORK EXPERIENCE AND EDUCATION REQUIREMENTS
- Current Master of Science or PhD student in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science.
- Academic/Industry experience of applying NLP, AI techniques to solve complex data problems.
- Strong knowledge of machine learning and deep learning algorithms and statistical models, including supervised and unsupervised learning methods.
- Experience with data preprocessing, feature engineering, and data visualization techniques.
- Proficiency in Python programming, and experience working with large unstructured data.
- Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
- Strong problem-solving skills and attention to detail.
- Experience with agile development methodologies and version control tools such as Git.
Preferred Qualifications:
- Experience working with natural language processing (NLP) techniques.
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
- Knowledge of cloud computing platforms such as AWS, GCP, or Azure.
EEO INFORMATION AND WORKING CONDITIONS
The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of the job. PRGX will make all employment decisions without regard to race, color, national origin, citizenship status, sex, pregnancy, religion, age (age 40 and over), disability, service in the uniformed services, genetic information, or any other classification protected by federal, state, or local law.
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities. The employee is occasionally required to remain stationary; move; lift and/or move up to 15 pounds. The employee must regularly sit; use hands to finger, handle, or feel; reach with hands and arms; communicate. Specific vision abilities required by this job include close vision.

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