ZipRecruiter

Log In

1

Temporary Artificial Intelligence Testing Jobs (NOW HIRING)

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is ... Advanced proficiency in software engineering, including Python, APIs, testing, and system design.

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is ... Advanced proficiency in software engineering, including Python, APIs, testing, and system design.

WilmerHale

Artificial Intelligence (AI) Engineer

Washington, DC · On-site

$110K - $151K/yr

About the Role The Artificial Intelligence Engineer is responsible for developing and implementing ... testing, support, and stakeholder management. Also responsible for supporting the creation of best ...

next page

Showing results 1-20

All JobsArtificial Intelligence Testing JobsTemporary Artificial Intelligence Testing Jobs

Temporary Artificial Intelligence Testing information

See salary details

$13

$25

$39

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

As of Jul 10, 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
Artificial Intelligence (AI) Engineer

Artificial Intelligence (AI) Engineer

Wilmerhale

Washington, DC • On-site

Full-time

Re-posted 21 hours ago

Job description

WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States and Europe. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.

About the Role

The Artificial Intelligence Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm. This includes working with the legal practices and business departments to support and improve their delivery of services by conceptualizing, developing, delivering, and supporting innovative solutions with a focus on AI and related technologies. The Artificial Intelligence Software Engineer works closely with other technical resources across Information Services (IS) to successfully manage the execution of AI projects, including project definition, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management.  Also responsible for supporting the creation of best practices for the development, maintenance, and use of AI solutions, assessing AI-related COTS solutions, as well as assisting end users to create prompts to optimize the effectiveness of the Large Language Models (LLM) solutions.

What You Will Be Doing

       Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.

       Conducts research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identifies opportunities to integrate them into our products and services.  Provides updates and recommendations to Director, Application Services.

       Optimizes existing generative AI models for improved performance, scalability, and efficiency.

       Develops clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI and related concepts to both technical and non-technical stakeholders.

       Contributes to the establishment of best practices and standards for AI development within the organization.

       Interacts with business stakeholders and explaining technical issues and approaches to a non-technical audience.

       Provides functional and technical support and enhancements for the firm's AI solutions.

       Provides technical mentorship and guidance to other team members.

       Creates and delivers end-user training and documentation and provides second-line support to other users.

       Displays professionalism, quality service and a positive "can do" attitude to internal members/departments of the Firm.

       Initiates building and maintaining strong relationships with team members across functions and more senior client stakeholders. Uses conflict-resolution skills to facilitate strong team dynamics.

       Participates in special projects and performs other duties as assigned.

Apply