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Entry Level Artificial Intelligence Testing Jobs

Intern, Artificial Intelligence

Jericho, NY

$15.50 - $20.75/hr

... by assisting with artificial intelligence initiatives, automation projects, and data-driven ... Support experimentation, A/B testing, and performance measurement of AI initiatives * Research ...

Artificial Intelligence Engineer

Cleveland, OH · On-site

$111.10K - $133.40K/yr

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and ... As an AI Engineer, you will be responsible for designing, implementing, testing and maintaining ...

Intern, Artificial Intelligence

Jericho, NY

$15.50 - $20.75/hr

... by assisting with artificial intelligence initiatives, automation projects, and data-driven ... Support experimentation, A/B testing, and performance measurement of AI initiatives * Research ...

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Entry Level Artificial Intelligence Testing information

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 (AI) Assistant I

Starks Industries

Washington, DC • On-site

Full-time

Posted 20 days ago


Job description

SUMMARY:

Entry-level Artificial Intelligence (AI) Assistant Level I supports artificial intelligence initiatives through data preparation, model testing, system monitoring, governance, risk, and compliance (GRC) support activities, and research. Supports AI adoption initiatives aligned with agency mission priorities, cybersecurity requirements, federal compliance mandates, and digital transformation objectives. Contributes to the development of ethical, secure, transparent, and responsible AI solutions consistent with federal AI frameworks, risk management principles, and organizational governance standards. Assists with continuous monitoring, documentation, audit readiness, and automation efforts supporting AI operational integrity and regulatory compliance.


KEY DUTIES and RESPONSIBILITIES:

  • Assist with data collection, cleansing, validation, and organization for AI and machine learning projects
  • Support the development, testing, and validation of AI models under the guidance of senior technical staff
  • Monitor AI systems and report performance issues, anomalies, security concerns, compliance deviations, or opportunities for improvement
  • Support GRC activities related to AI systems, data governance, cybersecurity, privacy, and operational controls
  • Assist in maintaining AI system documentation, inventories, risk registers, audit artifacts, and compliance tracking records
  • Participate in continuous monitoring activities for AI-enabled systems to support operational performance, cybersecurity posture, and regulatory compliance
  • Assist with implementing automated workflows, dashboards, alerts, and reporting mechanisms for AI operations and compliance monitoring
  • Conduct research on emerging AI tools, platforms, federal AI policies, cybersecurity standards, and industry best practices
  • Help document AI workflows, standard operating procedures (SOPs), governance processes, and technical procedures
  • Support internal stakeholders using AI-powered tools, automation platforms, and data-driven solutions
  • Collaborate with cross-functional teams including cybersecurity, compliance, legal, privacy, data governance, and IT operations personnel to integrate AI solutions into business operations
  • Assist in preparing reports, dashboards, presentations, and metrics related to AI initiatives, compliance activities, risk assessments, and operational performance
  • Support the identification, tracking, and mitigation of operational, cybersecurity, privacy, and AI model risks
  • Assists in the development, implementation, maintenance, and governance of AI-enabled solutions to improve operational efficiency, decision-making, automation, and data-driven outcomes
  • Support adherence to federal AI governance frameworks, cybersecurity standards, and agency compliance requirements

Minimum Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Cybersecurity, Information Assurance, or a related discipline
  • 0-2 years of relevant experience (internships or academic projects acceptable)
  • Basic understanding of artificial intelligence, machine learning, data analytics, cybersecurity, or governance and compliance concepts


Preferred Skills & Competencies

  • Familiarity with programming languages such as Python, R, or Java Familiarity with programming languages such as Python, R, Java, or scripting tools used for automation
  • Exposure to data analysis tools (e.g., Excel, SQL, Power BI, Tableau, or similar platforms)
  • Basic knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, or similar).
  • Familiarity with Governance, Risk, and Compliance (GRC) concepts, cybersecurity controls, or compliance monitoring processes
  • Exposure to automation, workflow orchestration, or monitoring tools used in IT or AI environments
  • Understanding of continuous monitoring principles, audit readiness, and operational reporting processes
  • Knowledge of federal IT environments, cloud platforms, AI governance frameworks, cybersecurity standards, or data governance policies
  • Familiarity with federal frameworks and standards such as NIST AI RMF, NIST CSF, RMF, FedRAMP, FISMA, or Zero Trust concepts.
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills
  • Ability to work independently and collaboratively in a team environment
  • Attention to detail and a strong commitment to quality and compliance
  • Experience supporting government clients or working in a regulated environment preferred


Required Knowledge, Skills, and Abilities (KSAs)

  • Foundational knowledge of AI/ML concepts, data analytics, governance, risk management, and statistical methods
  • Basic proficiency in programming languages such as Python, R, SQL, or similar technologies
  • Familiarity with data analysis and visualization tools (e.g., SQL, Excel, Power BI, Tableau, or equivalent)
  • Understanding of Governance, Risk, and Compliance (GRC) principles and continuous monitoring concepts
  • Ability to follow established procedures, security controls, governance standards, and federal compliance requirements
  • Knowledge of cybersecurity, privacy, and data protection principles in AI-enabled environments
  • Ability to identify, document, and escalate operational, compliance, or system risks
  • Strong analytical, organizational, and problem-solving skills
  • Effective written and verbal communication skills
  • Ability to support audit preparation, reporting, and documentation activities
  • Ability to work in a structured, compliance-driven, and mission-focused environment

Security Requirements

  • Ability to obtain and maintain a Public Trust or higher-level security clearance, as required by the contract


Supervision

  • Works under direct supervision with clearly defined guidelines. Receives technical guidance from senior AI, cybersecurity, compliance, governance, data, or engineering personnel.