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Temporary Ai Validation Jobs (NOW HIRING)

Truist

AI Security Engineer

Charlotte, NC

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 ...

Truist

Lead AI Security Engineer

Charlotte, NC

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Validate that AI solutions meet required security, governance, traceability, and evidence standards ...

Truist

Lead AI Security Engineer

Charlotte, NC · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Validate that AI solutions meet required security, governance, traceability, and evidence standards ...

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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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What cities are hiring for Temporary Ai Validation jobs? Cities with the most Temporary Ai Validation job openings:
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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 Engineer, Software Test (R4878)

Shield AI

Dallas, TX • On-site

$120K - $180K/yr

Full-time

Re-posted 18 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:

We are seeking an experienced Test Engineer to support the development, integration, and validation of XBat flight critical software systems. This role is responsible for designing and executing test strategies across hardware, software, and system-level components to ensure performance, reliability, and mission readiness.

Key responsibilities include developing test plans and procedures, executing verification and validation (V&V) efforts, analyzing test data, and collaborating cross-functionally with engineering, manufacturing, and program teams. The ideal candidate has strong experience with aerospace or defense systems, familiarity with regulatory standards (e.g., DO-178C, DO-254, MIL HDBK 516c), and a proven ability to troubleshoot complex system issues.

Qualifications include a degree in engineering or a related field, 5-8 years of relevant experience, and strong analytical, communication, and leadership skills. Experience with automated testing, hardware-in-the-loop (HIL), and flight test support is highly desirable.

What you'll do:
  • Develop test plans and procedures
  • Execute verification and validation (V&V) efforts
  • Analyze test data
  • Collaborate cross-functionally with engineering, manufacturing, and program teams
Required qualifications:
  • Bachelor’s degree in Engineering, Computer Science, or a related technical field
  • Hands-on experience in testing (e.g., 5–8 years depending on level) across software, hardware, or integrated systems
  • Knowledge of test methodologies including verification & validation (V&V), regression testing, and test case development
  • Experience with test tools and automation, such as scripting (Python, MATLAB, or similar) and test frameworks
  • Ability to read and interpret technical documentation, requirements, and system specifications
  • Strong problem-solving skills with the ability to troubleshoot and isolate defects
  • Strong written and verbal communication skills for documenting and reporting test results
  • Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
  • Experience testing and troubleshooting complex embedded systems.
  • Experience with large programs and fielding first of type systems.
  • Experience Testing Software with Hardware-in-the-loop in an aerospace or military environment.
#LI-SM1
#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.