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Entry Level Artificial Intelligence Testing Jobs

Artificial Intelligence Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Conducts data analysis, preprocessing, training, testing, validating and feature engineering to extract valuable insights from large datasets, improving model performance and accuracy. * Stays ...

Artificial Intelligence Engineer

Pittsburgh, PA · Hybrid

$111K - $133K/yr

Conducts data analysis, preprocessing, training, testing, validating and feature engineering to extract valuable insights from large datasets, improving model performance and accuracy. * Stays ...

$14.25 - $18.50/hr

Duties include designing and programming AI systems, testing the ML tools and processes developed ... artificial intelligence works. * Ability to build containerized application tools following the 12 ...

Showing results 21-40

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.
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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.

Artificial Intelligence Software Engineer

Aurora, CO • On-site

Booz Allen Hamilton
IT Services • 10K+ employees

$69K - $158K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 25 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz


Job description

Artificial Intelligence Software Engineer

The Opportunity:

As an AI software engineer, you know that good software is more than just a nice-looking interface and data. Today, you need to develop user-focused solutions that increase organizational efficiency and enable better decision-making. Booz Allen is the leading provider of AI services to the nation, and we're looking for a software engineer like you to create AI and machine learning solutions that help solve the nation's toughest problems.

On our team, you'll help create and implement complete end-to-end solutions that modernize AI-driven digital engineering capability. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. You apply leading-edge principles, theories, and concepts to provide highly innovative solutions. Additionally, you'll build upon your skillset in areas like LLM frameworks, DevSecOps, and full-stack development.

Ready to transform systems engineering for the better with AI technology?

Join us. The world can't wait.

You Have:

  • 2+ years of experience designing, modifying, developing, writing, and implementing software programming applications using methods such as Agile
  • 1+ years of experience working with full-stack LLM solutions, including RAG implementation, model selection, registry management, or LLM frameworks such as LangChain or LlamaIndex, or using embedding models or vector databases
  • Experience with LLM inference engines
  • Experience with Cursor or AI-assisted coding tools to enhance software or digital engineering development processes
  • Experience with full-stack development, including RESTFul APIs, Node.js, JavaScript, or React
  • Knowledge of Agile methodology and DevSecOps tools such as GitHub Actions, to build and manage CI/CD pipelines
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Nice If You Have:

  • Experience implementing and utilizing Model Context Protocol (MCP) in software or digital engineering projects to enable seamless model interoperability and context management
  • Experience performing systems engineering analysis and developing systems engineering products for government or mission critical systems, including NASA or the DoW
  • Experience with Model-Based Systems Engineering (MBSE) development, including using digital engineering tools such as Cameo, MagicDraw, SparxEA, DOORS, and IBM Rhapsody
  • Experience with MagicDraw plug-in development and Teamwork Cloud (TWC) administration
  • Experience with MATLAB, STK, ModelCenter, or TeamCenter
  • Experience with cloud computing platforms such as AWS, Azure, or GCP
  • Experience with software product testing and QA/QC
  • Experience with LLM inference engines such as vLLM and llama.cpp
  • Master's degree
  • Industry Certifications such as OCSMP, ASEP, GCP, Azure, AWS, and Security+ Certifications

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Skills Assessment As part of Booz Allen's skills first hiring process, candidates must complete the required skills assessment to ensure they meet the Basic Qualifications for this role. Candidates must complete the assessment and meet the minimum proficiency threshold to continue in the hiring process.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen 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 $69,400.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

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.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914