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Entry Level Artificial Intelligence Testing Jobs

$125.78K/yr

... testing, security, and governance into the AI lifecycle, enabling rapid, reliable, and compliant delivery of AI-enabled capabilities. Experience refers to paid and unpaid experience, including ...

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What are the key skills and qualifications needed to thrive as an Entry Level Artificial Intelligence Tester, and why are they important?

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 professionals in Artificial Intelligence Testing, 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 are entry level artificial intelligence testing jobs?

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 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.

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 states have the most Entry Level Artificial Intelligence Testing jobs? States with the most job openings for Entry Level Artificial Intelligence Testing jobs include:
Infographic showing various Entry Level Artificial Intelligence Testing job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution.
Artificial Intelligence/Machine Learning Engineer, Junior

Artificial Intelligence/Machine Learning Engineer, Junior

Everwatch

Annapolis Junction, MD • On-site

$55.28 - $72.11/hr

Other

Posted 4 days ago


Job description

Job TitleArtificial Intelligence/Machine Learning Engineer, JuniorOverview

EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country's most critical missions.  We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success.

EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives.

Commitment to Non-Discrimination:

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Responsibilities

Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an AI/ML Engineer at EverWatch Solutions, you will work directly with mission users to develop and deploy artificial intelligence and machine learning solutions that enhance operational workflows, improve data accessibility, and support rapid decision-making in secure environments.

You will collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities. Your work may include developing LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.

You will support the integration of AI capabilities into existing operational systems while ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments. Additionally, you will contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.

Join us. The world can't wait.

Qualifications

You Have: 

  • 1-4 years of experience with Python for data analysis and machine learning tasks through academic, internship, or project-based work
  • Knowledge of machine learning concepts including supervised learning, model evaluation, and data preprocessing
  • Familiarity with standard data science libraries and development tools
  • Ability to think analytically, solve problems effectively, and learn quickly in a fast-paced, mission-oriented environment
  • Ability to collaborate within a team and communicate technical concepts clearly
  • TS/SCI clearance with a polygraph
  • Bachelor's degree in computer science, Data Science, Electrical Engineering, Mathematics, Statistics, or a related technical field or master's degree with limited experience

Nice If You Have: 

  • Experience with academic coursework, thesis work, or capstone projects involving machine learning, natural language processing, or data science applications
  • Experience with version control tools such as Git and collaborative development environments
  • Knowledge of deep learning frameworks such as PyTorch or TensorFlow
  • Knowledge of large language models (LLMs) and generative AI concepts
  • Knowledge of cloud platforms such as AWS, Azure, or GCP
  • Knowledge of containerization technologies such as Docker or Kubernetes
  • Knowledge of agentic AI, retrieval-augmented generation (RAG), or other applied NLP techniques
  • Prior internship, co-op, research, or project experience supporting government, defense, or intelligence community environments 

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with a polygraph is required. 

Compensation at EverWatch is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $55.28 to $72.11 per hour.  The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch's total compensation package for employees.

Clearance LevelTS/SCI CIPJob LocationsUS-MD-Annapolis JunctionSkillsAI/ML, LLM, API, PythonMinMaxEmployment Type: OTHER