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Hourly Ai Tester Jobs (NOW HIRING)

Senior .NET AI Developer

Austin, TX · On-site

$63 - $68/hr

Austin, TX Salary: $63.00 USD Hourly - $68.00 USD Hourly Description: Our client is currently ... Strong background in performance engineering, reliability testing, observability patterns (e.g ...

Senior AI Developer

Dahlgren, VA · On-site

$55.50 - $73.50/hr

Designing, coding, benchmark testing, debugging, and documenting application features and changes ... There are differentiating factors that can impact a final salary/hourly rate, including, but not ...

Southlake, TX Salary: $70.00 USD Hourly - $75.00 USD Hourly Description: Our client is currently ... Experience designing and enforcing automated testing strategies (unit, integration, and acceptance ...

New

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Temporary Salary: $47.82-53.13 Hourly W2 Start Date: ASAP Partner with Aquent to join a leading ... Develop automated testing, monitoring, and observability solutions for AI applications, ensuring ...

.NET AI Developer

Austin, TX · On-site

$60.90 - $67.67/hr

Temporary Salary: $60.90-67.67 Hourly W2 Start Date: Aug 28, 2026 Partnering with Aquent, we are ... Drive engineering quality through automated testing, rigorous code review discipline, performance ...

SOX Audit Expert

Palo Alto, CA · On-site

$118K - $157K/yr

Competitive hourly rate The Opportunity We are building an AI-native platform for SOX control testing - one where an AI agent reads an audit workpaper, classifies every sheet, extracts sample rows ...

SDET with AI

Austin, TX · On-site

$50 - $55/hr

Austin, TX Salary: $50.00 USD Hourly - $55.00 USD Hourly Description: Our client is currently ... Experience with API testing, UI automation, integration testing, end-to-end testing, and regression ...

Senior Java AI Developer

Austin, TX · On-site

$66.42 - $73.80/hr

Temporary Salary: $66.42-73.80 Hourly W2 Start Date: Aug 28, 2026 Join a leading financial services ... Drive engineering quality through comprehensive code reviews, automated testing strategies, robust ...

AI Business Analyst

Louisville, KY · On-site

$45 - $50/hr

Louisville, KY Salary: $45.00 USD Hourly - $50.00 USD Hourly Description: Job Title: AI Business ... Collaborate with testing and quality partners to support test scenario development, user acceptance ...

... testing for models or prompts) * Bonus: experience evaluating LLMs, agentic systems, or AI-assisted developer tools The base salary range (or hourly wage range, if applicable) that Sentry reasonably ...

Own the complete solution lifecycle-from discovery, architecture, design, development, testing ... The annual [salary/hourly rate] for this position is between 130 - 135K annually. Factors which may ...

Showing results 41-60

Hourly Ai Tester information

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$10

$38

$62

How much do hourly ai tester jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for hourly ai tester in the United States is $38.36, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $50.72 per hour, depending on experience, location, and employer.

What is an hourly AI tester?

Hourly AI Testers are professionals who are hired on an hourly basis to evaluate, test, and provide feedback on artificial intelligence systems, software, or applications. Their tasks often include running test cases, identifying bugs, assessing user experience, and ensuring the AI behaves as expected. These testers may work on a variety of AI products, such as chatbots, machine learning models, or voice assistants. By providing detailed reports on their findings, Hourly AI Testers help improve the quality and reliability of AI technologies.

What are the key skills and qualifications needed to thrive as an hourly AI tester, and why are they important?

To excel as an Hourly AI Tester, you need a solid understanding of software testing principles, attention to detail, and familiarity with AI concepts, often supported by experience or coursework in computer science or quality assurance. Proficiency with test management tools, bug tracking systems like JIRA, and knowledge of scripting languages for automation are typically required. Strong analytical thinking, clear communication, and adaptability help testers identify issues and collaborate effectively with development teams. These skills ensure AI systems are robust, meet quality standards, and function as intended in diverse scenarios.

What are some common challenges faced by hourly AI testers, and how can they effectively address them?

Hourly AI Testers often encounter rapidly changing project requirements and tight deadlines, which can make it challenging to thoroughly test new features or updates. To address these challenges, it's important to maintain clear communication with developers and project managers, prioritize test cases based on risk and impact, and use automated testing tools when possible to streamline repetitive tasks. Staying proactive and adaptable helps ensure high-quality outcomes, even in fast-paced environments.

What is the difference between Hourly Ai Tester vs AI Quality Assurance Tester?

AspectHourly Ai TesterAI Quality Assurance Tester
CredentialsBasic understanding of AI tools, testing skillsSimilar credentials, often requiring QA certifications
Work EnvironmentRemote or on-site, tech companies, AI development teamsSame as Hourly Ai Tester, within AI or software firms
Industry UsageCommon in AI startups, tech firms, freelance platformsUsed in software and AI industries for quality checks

Both roles focus on testing AI systems, often requiring similar skills and certifications. The main difference lies in terminology and specific job descriptions, but they generally operate in the same environments and industries, emphasizing quality and performance of AI products.

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Infographic showing various Hourly Ai Tester job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 49% Full Time, 45% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $79,791 per year, or $38.4 per hour.

AI Prompt Engineer - Minneapolis, Mn

Motion Recruitment Partners, LLC

Minneapolis, MN • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description


A major enterprise security organization is growing its generative AI research efforts and is looking for an AI Prompt Engineer in Minneapolis. The group is exploring how frontier language models can be incorporated into cybersecurity testing and is building technology that uses AI to uncover weaknesses across software, infrastructure, and network environments.
The position sits at the intersection of AI engineering, cybersecurity, and software development. You will be responsible for designing the instructions and supporting logic that allow large language models to conduct meaningful security analysis. Success in this role requires more than prompt-writing ability; you must understand the security problems being investigated well enough to direct an AI model toward useful findings and distinguish meaningful vulnerabilities from noise.
Required Skills & Experience
  • Proven hands-on work with advanced LLM prompting, prompt engineering, or AI workflow development
  • Strong understanding of cybersecurity fundamentals and how vulnerabilities are identified and exploited
  • Knowledge of malware, network ingress/egress, attack vectors, and common infrastructure weaknesses
  • Programming experience with at least one general-purpose development language
  • Ability to develop structured AI workflows that combine prompts, context, logic, and model responses
  • Experience working with relational, search, or cloud-hosted database technologies
  • Familiarity with PostgreSQL, Elastic/Elasticsearch, Cloud SQL, or equivalent platforms

Desired Skills & Experience
  • Familiarity with automated security testing techniques such as SAST and DAST
  • Security assessment or penetration-testing experience
  • Knowledge of cloud infrastructure and cloud security concepts
  • Exposure to Kubernetes-based environments
  • Experience with Google Kubernetes Engine
  • Previous work involving AI red teaming, model testing, or adversarial AI research

What You Will Be Doing
Daily Responsibilities
  • Design prompt architectures that direct AI models through cybersecurity research and testing tasks
  • Build AI harnesses capable of maintaining relevant context throughout complex security investigations
  • Develop test cases that identify software vulnerabilities and infrastructure exposures
  • Use generative AI to support network-perimeter analysis and discovery of open or risky services
  • Create workflows for identifying suspicious certificate usage and other security-control weaknesses
  • Experiment with different frontier models without being tied to a single provider
  • Assess the usefulness and accuracy of model-generated security findings
  • Partner with engineers responsible for capturing and processing the resulting security data
  • Coordinate with cyber threat hunters who investigate and remediate validated findings

The Offer
  • Contract opportunity
  • Competitive hourly compensation

You will receive the following benefits:
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.