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Temporary Artificial Intelligence Testing Jobs (NOW HIRING)

CreditOne

AVP, Artificial Intelligence

Las Vegas, NV · On-site

Description Position Summary The Assistant Vice President of Artificial Intelligence (AVP of AI) is ... Oversee model validation, explainability, bias testing, and audit readiness. * Collaborate with ...

GXM Consulting

Artificial Intelligence (AI) Lead Tester

$120K - $180K/yr

GXM Technologies is seeking an Artificial Intelligence (AI) Lead Tester to provide both hands-on ... This role requires both AI technical testing proficiency and automation experience. This position ...

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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

AVP, Artificial Intelligence

CreditOne

Las Vegas, NV • On-site

Full-time

Re-posted 10 days ago

Job description

Description
Position Summary
The Assistant Vice President of Artificial Intelligence (AVP of AI) is responsible for leading delivery and execution of AI and machine learning capabilities within a regulated banking, credit card, and financial services environment. Reporting to the VP of AI, this role acts as a hands-on technical leader and people manager for AI Engineers, ensuring AI solutions drive fraud prevention, credit risk management, customer experience personalization, and operational efficiency while meeting regulatory, privacy, and model risk requirements.
Essential Job Functions
  • Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit scoring, underwriting, AML, and customer engagement.
  • Serve as technical authority for model architecture, feature engineering, training pipelines, and inference services.
  • Manage and mentor AI Engineers and ML practitioners; provide code and design reviews.
  • Implement AIOps/MLOps and model governance practices aligned with banking regulations and internal Model Risk Management (MRM) standards.
  • Partner with Risk, Compliance, Legal, Cybersecurity, and Data teams to ensure Responsible AI adoption.
  • Oversee model validation, explainability, bias testing, and audit readiness.
  • Collaborate with product and business leaders to translate financial use cases into scalable AI solutions.

Position Requirements
Core AI Concepts and Technologies Required:
  • Machine Learning & Modeling
    • Supervised, unsupervised, reinforcement learning
    • Deep learning (CNNs, RNNs, Transformers)
    • Natural Language Processing (NLP) & LLMs
    • Generative AI (diffusion models, fine-tuning, RAG)
    • AI Engineering & MLOps

  • AI Engineering & MLOps
    • Model training, deployment, monitoring, and retraining
    • Feature stores, vector databases, and model registries
    • CI/CD pipelines for ML (MLOps)
    • GPU/accelerator compute architectures

  • Cloud & Infrastructure
    • Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
    • Kubernetes, containerization, microservices
    • Data platforms (Databricks, Snowflake, Synapse)

  • Responsible AI & Governance
    • Model explainability (SHAP, LIME)
    • Fairness, bias detection, model risk controls
    • Privacy-preserving ML techniques (differential privacy, federated learning)

  • Programming & Tooling
    • Python, PyTorch, TensorFlow, JAX
    • LangChain, semantic search, vector embeddings
    • Prompt engineering & LLM orchestration frameworks

  • Excellent communication, problem-solving, and project management skills
  • Ability to collaborate effectively and follow up ensure achievement of deadlines, outcomes and results.
  • Demonstrate company core values of excellence, ownership, collaboration, and integrity.

Preferred
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
  • 5-8 + years of experience in AI/ML or data science.
  • Experience working with large-scale financial or transactional data is preferred.

Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.

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