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Temporary Ai Validation Jobs (NOW HIRING)

Truist

AI Security Engineer

Charlotte, NC · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Daily work includes implementing security controls for AI and agentic systems, validating ...

Shield AI

Senior Engineer, Flight Test (R5371)

San Diego, CA · On-site

$110K - $170K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... We work closely with autonomy, platform, and hardware teams to validate new features in simulation ...

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How much do temporary ai validation jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for temporary ai validation in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a temporary AI validation?

To thrive as a Temporary AI Validation Specialist, you need a background in data analysis, attention to detail, and familiarity with AI concepts, often supported by a degree in computer science or a related field. Experience with data labeling platforms, AI model testing tools, and spreadsheet software is typically required. Strong communication skills, adaptability, and problem-solving abilities help you effectively interpret guidelines and collaborate with technical teams. These skills are crucial for ensuring the accuracy and reliability of AI models, which directly impacts their performance and trustworthiness.

What does a temporary AI validation do?

In a Temporary AI Validation role, your daily tasks often include reviewing machine learning outputs, annotating data, conducting quality checks, and providing feedback to improve algorithm accuracy. You may work closely with data scientists, engineers, and project managers to ensure that AI models perform as expected. While much of the work is independent, collaboration is essential for addressing unclear cases or refining validation guidelines. This role offers insight into AI development processes and can serve as a stepping stone for more permanent positions in data science or AI-related fields.

What is the difference between Temporary Ai Validation vs Data Analyst?

AspectTemporary Ai ValidationData Analyst
Required CredentialsBasic understanding of AI/ML concepts, possibly some certificationsBachelor's degree in data science, statistics, or related field
Work EnvironmentTech companies, AI development teams, testing labsBusiness, finance, healthcare, or tech industries
Employer & Industry UsageUsed in AI/ML project testing and validation phasesUsed for data interpretation, reporting, and decision-making

Temporary Ai Validation roles focus on testing and validating AI models, requiring familiarity with AI concepts. Data Analysts interpret data to inform business decisions, often requiring more advanced statistical skills. While both roles involve working with data, their focus and skill requirements differ significantly.

What is a temporary AI validation?

A Temporary AI Validation job involves evaluating and verifying the accuracy, performance, and reliability of artificial intelligence models or systems for a limited period. Individuals in this role may be tasked with testing machine learning outputs, labeling data, or providing feedback to improve AI algorithms. These positions are often project-based, supporting AI development teams during critical validation phases before deployment. The work ensures that AI systems meet quality standards and function as intended in real-world scenarios.
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Temporary Ai Validation jobs near you
Infographic showing various Temporary Ai Validation job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Temporary. Highlights an 100% In-person job distribution, with an average salary of $108,152 per year, or $52 per hour.

Senior Software Test and Automation Engineer (R4472)

Shield AI

San Diego, CA

$110K - $170K/yr

Full-time

Re-posted 13 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
Shield AI's Software Test & Automation Team develops the verification, validation, and automation capabilities that enable rapid delivery of Hivemind autonomy across the Expeditionary and Emerging Operations portfolio. Our mission is to provide objective evidence of software quality, reliability, and mission readiness by building scalable automated test frameworks, repeatable validation environments, and data-driven readiness assessments spanning simulation, Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and Vehicle-in-the-Loop (VIL) environments. 

As a Senior Software Test & Automation Engineer, you will design and develop automated test infrastructure, execute system-level verification activities, analyze software performance, and build the tooling that enables continuous validation throughout the development lifecycle. Working closely with autonomy software, systems engineering, digital infrastructure, and flight test teams, you will help ensure autonomy capabilities are validated, repeatable, and ready for operational deployment. 

What you'll do:

  • Design, develop, and maintain automated test frameworks, validation tooling, and test infrastructure supporting autonomy software.  

  • Develop and execute verification and validation strategies across simulation, SIL, HIL, VIL, and representative system environments.  

  • Build automated regression, integration, functional, and performance test suites that improve software quality and deployment confidence.  

  • Develop Python-based automation, test harnesses, and analysis tools that reduce manual testing effort and improve repeatability.  

  • Analyze test results, identify software defects and integration issues, and support cross-functional root cause investigations.  

  • Develop software quality metrics, dashboards, and readiness assessments that provide objective evidence of software maturity.  

  • Integrate automated testing into CI/CD workflows to enable continuous validation and rapid developer feedback.  

  • Collaborate with autonomy software, systems engineering, flight test, and integration teams to define validation strategies and readiness criteria.  

  • Improve test infrastructure, automation coverage, and validation methodologies across the Expeditionary and Emerging Operations portfolio. 

Required qualifications:

  • BS in Computer Science, Aerospace, Electrical, Mechanical Engineering or related field.  

  • 4-7 years developing software test, verification, automation, or validation solutions for robotics, autonomy, aerospace, or other complex distributed systems.  

  • Strong proficiency in Python for automation, testing, and data analysis.  

  • Experience developing automated test frameworks, test harnesses, or validation infrastructure.  

  • Experience with Linux-based development environments.  

  • Experience validating software in simulation, SIL, HIL, and/or representative hardware environments.  

  • Experience debugging complex software and system integration issues.  

  • Experience with CI/CD pipelines and continuous validation practices.  

  • Strong understanding of software verification, regression testing, and quality assurance methodologies. 

Preferred qualifications:

  • Experience with flight control systems such as ArduPilot or PX4. 

  • Experience with unmanned aerial systems (fixed-wing, quadrotor, or both)  

  • Background in autonomy, robotics, or aerospace systems  

  • Familiarity with flight controllers, radios, and communications systems 

$110,000 - $170,000 a year
#LI-LD1
#LC

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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