ZipRecruiter

Log In

1

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 ...

next page

Showing results 1-20

All Jobstmp JobsTechnology 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 Aug 20, 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 is temporary artificial intelligence testing?

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 does temporary artificial intelligence testing involve?

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 are the key skills and qualifications needed for temporary artificial intelligence testing?

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 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

BridgeNexus Technologies Inc

Los Angeles, CA • On-site

Other

Posted 14 days ago

Job description

Hi, WE have below 2 positions with our direct client and both are hybrid position and kindly reply asap at your interest so I reach you immediately to schedule one round interview with client .
 
JOB 1:  AI Analyst with Healthcare Background
Location: Woodland Hills. CA (Commute three times in a week to Woodland Hills office)
Duration: Long term
Client: Direct client
JOB 2: AI ML Developer with Data Science experience
Location: Woodland Hills. CA (Commute three times in a week to Woodland Hills office)
Duration: Long term
Client: Direct client 
 
 
 
 
#
Role
Job Description
1
AI Analyst with Healthcare Background
seeking an experienced Artificial Intelligence & Machine Learning (AI/ML) Systems Analyst to bridge the gap between business stakeholders, data scientists, AI/ML engineers, and technology teams. This role will be responsible for analyzing business problems, defining AI/ML solution requirements, evaluating data readiness, supporting model implementation, and ensuring AI solutions align with business objectives, regulatory requirements, and enterprise governance standards. The ideal candidate will possess strong analytical skills, healthcare domain knowledge, and experience working with AI, machine learning, and Generative AI technologies.
Key Responsibilities
Business & Systems Analysis
  • Collaborate with business stakeholders to identify opportunities for AI/ML-driven process improvements and automation.
  • Elicit, analyze, and document business, functional, and non-functional requirements.
  • Create user stories, process flows, use cases, data mappings, and acceptance criteria.
  • Translate business requirements into AI/ML solution specifications.
  • Support backlog grooming, sprint planning, and Agile delivery processes.
AI/ML Solution Analysis
  • Partner with AI/ML engineers and data scientists to define model objectives and success metrics.
  • Analyze data sources and determine data quality, completeness, and readiness for AI initiatives.
  • Support predictive analytics, recommendation systems, NLP, GenAI, and intelligent automation initiatives.
  • Evaluate AI model outputs and assist with validation, testing, explainability, and business adoption.
Data & Analytics

    Apply