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Temporary Artificial Intelligence Testing Jobs (NOW HIRING)

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH · On-site

$111K - $133K/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 ...

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Temporary Artificial Intelligence Testing information

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How much do temporary artificial intelligence testing jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for temporary artificial intelligence testing in the United States is $25.33, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $28.61 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Temporary Artificial Intelligence Tester, and why are they important?

To thrive as a Temporary Artificial Intelligence Tester, you need a solid understanding of software testing principles, basic programming or scripting skills, and familiarity with AI concepts, supported by relevant education or experience. Proficiency with test management tools, bug tracking systems, and AI testing platforms (such as TensorFlow or PyTorch) is typically required. Attention to detail, analytical thinking, and effective communication are essential soft skills for identifying issues and collaborating with development teams. These skills ensure accurate testing, reliable AI model performance, and effective problem-solving in fast-paced project environments.

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

AspectTemporary Artificial Intelligence TestingData Analyst
CredentialsTypically requires knowledge of AI, machine learning, and programming languagesRequires degrees in statistics, mathematics, or related fields; often includes certifications in data analysis tools
Work EnvironmentOften project-based, involving AI model evaluation in tech or research settingsUsually office-based, analyzing data sets in corporate or research environments
Employer & Industry UsageUsed by tech companies, AI startups, and research institutions for testing AI modelsEmployed across industries like finance, healthcare, marketing for data-driven decision making

Temporary Artificial Intelligence Testing focuses on evaluating AI models and algorithms, often requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, requiring statistical expertise. While both roles involve data and analysis, AI Testing is more specialized in AI model validation, whereas Data Analysts work broadly with data interpretation across industries.

What types of projects or tasks can I expect to work on as a Temporary Artificial Intelligence Testing professional?

As a Temporary Artificial Intelligence Testing professional, you'll typically be assigned to evaluate AI models or software for accuracy, fairness, and reliability. Your tasks may include creating and executing test cases, reporting bugs, and providing feedback on AI system outputs. You'll often collaborate with data scientists, developers, and QA teams to ensure the AI solutions meet performance standards. The work is dynamic and can involve adapting quickly to new testing protocols or shifting project priorities.

What is a Temporary Artificial Intelligence Testing job?

A Temporary Artificial Intelligence Testing job involves evaluating and verifying the performance, accuracy, and reliability of AI systems or software for a fixed period, often as part of a project or during peak development cycles. Testers in this role identify bugs, suggest improvements, and ensure that the AI behaves as expected under different scenarios. These positions are usually contract-based or short-term, making them ideal for people looking to gain experience in the AI field or contribute to specific projects. Responsibilities may include writing test cases, analyzing test results, and collaborating with developers and data scientists to enhance system performance.
What cities are hiring for Temporary Artificial Intelligence Testing jobs? Cities with the most Temporary 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 Temporary Artificial Intelligence Testing jobs? States with the most job openings for Temporary Artificial Intelligence Testing jobs include:
Temporary Artificial Intelligence Testing jobs near you
Data Scientist (Artificial Intelligence/Machine Learning)

Data Scientist (Artificial Intelligence/Machine Learning)

Defense Logistics Agency

Battle Creek, MI

Full-time

Posted 8 days ago

Defense Logistics Agency rating

8.4

Company rating: 8.4 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

165th of 657 rated public administrative organizations

Job description

Telework Eligible

Yes

Major Duties

  • Serves as an Al (Artificial Intelligence) Testing and Evaluation Data Scientist providing subject matter Al expertise and execution to test and evaluate Al systems.
  • Provides professional and scientific expertise in the application of data science disciplines for complex studies in machine learning and deep learning algorithms, statistical analysis, visualizations, programing and computer science.
  • Provides expertise in evaluating and measuring data science and artificial intelligence systems in accordance with data science Lifecyle practices within DoD parameters.
  • Ensures Al systems are developed in accordance with applicable legal frameworks such as General Data Protection Regulation (GDPR) and National Institute of Standards and Technology (NIST).
  • Incorporates, Office of Management and Budget (0MB) test and evaluation requirements, DOD Al ethical principles into DLA Al test and evaluation framework to generate an RAI test strategy for modeling cases.
  • Utilizes expertise to coordinate the integration of the DLA Al testing and evaluation program during the product lifecycle from concept and design inception, as development proceeds, and integrated to ensure effective RAI implementation.

Qualification Summary

To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and supporting documentation must support: A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. B. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military, or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-after­competitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes: Conducts large, agency wide, research and development reviews of metrics, measurements, and evaluation methods for emerging and existing areas of Al. Utilizes data science expertise to develop algorithms and tools to support data manipulation and processing as well as the use of data visualization techniques to articulate high risk findings. Ensures the Al systems are designed for auditability to manage Al risk assessment policies and principles which guide automated decisions supporting DLA business operations. Provides expert advice to senior leadership and Al stakeholders to adopt new or revised policy and implementation plans resulting from Al test and evaluation integration. Assesses data quality and establishes standards to validate quality criteria for data to ensure it meets the necessary requirements for Al testing and evaluation. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

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