2

Entry Level Artificial Intelligence Testing Jobs

Version control and basic software engineering discipline, including code review and testing * Clear written communication and the ability to explain technical tradeoffs to non‑technical ...

Participate in AI and machine learning solution development, integration, testing, and ... Demonstrated interest in artificial intelligence, software engineering, data engineering, or ...

Participate in AI and machine learning solution development, integration, testing, and ... Demonstrated interest in artificial intelligence, software engineering, data engineering, or ...

Showing results 41-60

Entry Level Artificial Intelligence Testing information

What is an entry level artificial intelligence testing job?

Entry level artificial intelligence (AI) testing jobs involve evaluating and validating AI models, algorithms, or systems to ensure they function as intended. These roles may include tasks such as creating and running test cases, reporting bugs, analyzing test results, and collaborating with development teams to improve AI performance and reliability. Entry level testers often work with machine learning models, natural language processing tools, or computer vision systems, and typically require some foundational knowledge in programming, data analysis, or software quality assurance.

What are the key skills and qualifications needed to thrive as an entry level artificial intelligence tester?

To thrive as an Entry Level Artificial Intelligence Tester, you need a basic understanding of software testing principles, familiarity with AI/ML concepts, and a relevant degree in computer science or a related field. Experience with testing tools such as Selenium, Jupyter Notebooks, and version control systems like Git is often expected, along with knowledge of Python or similar languages. Attention to detail, analytical thinking, and effective communication are critical soft skills for identifying issues and collaborating with development teams. These competencies ensure the quality and reliability of AI systems, supporting robust product outcomes and continuous improvement.

What are some common challenges faced by entry level artificial intelligence testers, and how can they overcome them?

Entry-level AI testers often encounter challenges such as understanding complex machine learning models, interpreting unpredictable outputs, and adapting to rapidly evolving testing tools and frameworks. To overcome these hurdles, it’s essential to build a solid foundation in both software testing principles and basic AI concepts. Proactively collaborating with data scientists and developers, seeking mentorship, and engaging in continuous learning through workshops or online courses can help new testers develop confidence, stay updated, and contribute effectively to the team.

What is the difference between Entry Level Artificial Intelligence Testing vs Entry Level Data Analyst?

AspectEntry Level Artificial Intelligence TestingEntry Level Data Analyst
Required CredentialsBachelor's in CS, AI, or related field; familiarity with AI toolsBachelor's in Data Science, Statistics, or related field; proficiency in Excel and SQL
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare sectors
Employer & Industry UsageAI development teams, software companiesData-driven organizations across industries
Common Search & ComparisonYesYes

Entry Level Artificial Intelligence Testing focuses on evaluating AI models and algorithms, often requiring knowledge of AI tools and programming. Entry Level Data Analysts analyze data sets to derive insights, emphasizing statistical skills and data visualization. While both roles involve data handling, AI Testing centers on AI model validation, whereas Data Analysts focus on interpreting data for business decisions.

How do I become an entry level artificial intelligence testing?

To become an entry-level artificial intelligence tester, candidates typically need a bachelor's degree in computer science, data science, or a related field. Developing skills in programming languages like Python, understanding machine learning concepts, and gaining experience with AI tools and frameworks such as TensorFlow or PyTorch are important. Entry-level roles often require familiarity with testing methodologies and basic knowledge of AI model evaluation.
More about Entry Level Artificial Intelligence Testing jobs

What cities are hiring for Entry Level Artificial Intelligence Testing jobs?

Cities with the most Entry Level Artificial Intelligence Testing job openings:

What are the most commonly searched types of Artificial Intelligence Testing jobs?

The most popular types of Artificial Intelligence Testing jobs are:

What job categories do people searching Entry Level Artificial Intelligence Testing jobs look for?

The top searched job categories for Entry Level Artificial Intelligence Testing jobs are:

What other helpful pages are available for Entry Level Artificial Intelligence Testing?

Other pages related to Entry Level Artificial Intelligence Testing:

Infographic showing various Entry Level Artificial Intelligence Testing job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 10% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

2026 PhD Graduate - Intelligent Autonomous Systems and Artificial Intelligence Engineer

Laurel, MD • On-site

Johns Hopkins Applied Physics Laboratory
Manufacturing • 5 - 10K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 4 days ago. Applications are no longer accepted.


Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Description
Are you passionate about innovating new technologies to influence and shape our Nation's future security and preeminence?
Are you excited about working on multi-disciplinary teams to innovate the state-of-the-art in autonomous systems, artificial intelligence, software design, embedded systems, virtual reality, simulation and/or uncrewed air platforms?
Are you interested in applying your skills to conceive, design, prototype and test new capabilities in intelligent autonomous systems that will save US warfighter's lives?
If you are graduating with a PhD in Science, Technology, Engineering, or Mathematics (STEM) related area and you answered "yes" to any of these questions, we are looking for someone like you to join our team in the Intelligent Combat Platforms Group at APL! All candidates with a strong technical background, high initiative, and the ability to think creatively are encouraged to apply with or without AI experience.
Who are we?
We are the Intelligent Combat Platforms Group and our mission focus is ensure our Nation maintains the operational advantage on the future battlefield through foundational advances in artificial intelligence, autonomy, manned-unmanned teaming and novel aircraft design and testing. Our objective is to advance the technologies needed to enable machine precision decisions at machine speeds for future unpiloted systems and warfighters aided with intelligent assistants. Whether it is developing the intelligence that drives AI wingmen behaviors, sophisticated real-time collaboration architectures, or novel AI assessment tools and software, the Intelligent Combat Platforms Group is at the forefront. Three of our monumental and impactful projects have been DARPA Air Combat Evolution, AFRL Golden Horde, and Air Force SkyBorg.
As a member of our team, possible roles include...
  • Work on collaborative teams in one or more areas: intelligent control and decision-making, human-machine collaboration, networked and teamed systems, software/hardware design, multi-faceted algorithm development, complex battlefield management, and next generation autonomous air platforms.
  • Prototype and simulate AI systems by writing code, developing software (simulation and visualization), creating algorithms, interfacing software/hardware, and supporting real-time demonstrations of autonomy in live, virtual, and simulation test environments.
  • Collaborate with the nation's leading experts in AI and work with an outstanding team of engineers, scientists, and software developers to deliver powerful capabilities to the warfighter.

Qualifications
You meet our minimum qualifications for the job if you...
  • Have a PhD Degree in a STEM area.
  • Are skilled in C++ and/or Python and have knowledge of software design patterns.
  • Have experience with applications for physical systems such as mechanical, aerospace, or robotics (e.g. Unmanned Aerial Systems).
  • Have classroom or professional experience with artificial intelligence and autonomy algorithms.
  • Are able to obtain an interim Secret security clearance by your start date, and ultimately a Top Secret clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...
  • Have classroom or professional experience working with any of our core skills: autonomous systems, artificial intelligence, deep/reinforcement/machine learning, robotics, dynamics and controls, flight test and evaluation, modeling and simulation, avionics and sensors, aerodynamics, air combat platform design, data science, and statistical analysis.
  • Have experience in military/department operations and acquisition processes.
  • Have experience developing in a modern software development environment that includes automated testing, continuous integration and deployment, and "DevSecOps" environments.
  • Have proficiency in additional programming languages (C, C#, Java, MATLAB), cloud computing, and configuration management.
  • Have completed any certifications or internships.

Keywords: Artificial intelligence, intelligent decision-making, autonomous systems, deep reinforcement learning, neural networks, collaborative teaming, next generation platforms, drones, cutting-edge sensors, robotics, Python, Java, Javascript, Typescript, C++, C#, C, Linux, Terminal, Bash, Matlab, Pytorch, tensorflow, Unity, UI development, simulation development, full stack development, front end development, physics, aerospace, data science, computer science, statistical analysis, mathematics, aerial combat, battle management, command and control, future warfare concepts, hardware, RC experience, pilot, flight testing, test planning, prototype, autopilot, FAA, Robot Operating System
About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually

What Johns Hopkins Applied Physics Laboratory employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom