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Temporary Ai Validation Jobs (NOW HIRING)

Shield AI

Engineer II, Software Test (R4786)

Dallas, TX

$95K - $140K/yr

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting ... We are seeking an experienced Test Engineer to support the development, integration, and validation ...

KēSTA I.T.

AI Engineer

Midvale, UT · On-site +1

$40 - $70/hr

This individual will play a key role in designing, validating, and supporting AI-driven solutions ... We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, ...

Shield AI

Product Delivery Specialist (R4911)

Dallas, TX · On-site

$13.50 - $17/hr

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting ... Experience with inventory validation, documentation control, defect tracking, or similar delivery ...

Truist

AI Engineering Lead - Signals

Charlotte, NC · On-site

$100K - $131K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... The technical scope includes safety validation systems, monitoring controls, and workflow ...

Truist

AI Engineering Lead - Signals

Charlotte, NC · On-site

$100K - $131K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... The technical scope includes safety validation systems, monitoring controls, and workflow ...

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Temporary Ai Validation information

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$22

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$78

How much do temporary ai validation jobs pay per hour?

As of Jun 9, 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 Specialist, and why are they important?

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 are the typical daily tasks and team interactions for someone in a Temporary AI Validation role?

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 job?

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 May 2026, with employment types broken down into 36% Full Time, 62% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.
Senior Engineer, Systems Test (R5038)

Senior Engineer, Systems Test (R5038)

Shield AI

Washington, DC

Full-time

Posted 17 days ago

Job description

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the 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:

The Hivemind Solutions Test Department is seeking a Senior Test Engineer (Software & Simulation Focus) to join our DC-based team. Since Shield AI's mission is to protect service members and civilians, The Hivemind Solutions Test Department makes this a reality by validating the reliability, safety, and performance of our world-class autonomy software.

You’ll lead simulation-driven testing, automation, and software quality efforts for Hivemind, building and executing test frameworks that ensure our autonomy software performs reliably across simulated and real-world mission environments.

Shield AI is growing quickly, and we're looking for someone who thrives in fast-paced environments, embraces learning, and brings a high-ownership, mission-driven mindset. This is a chance to have a real impact—advancing autonomy that protects lives—while working with a collaborative, high-performing team.

What you'll do:
  • Develop automated regression, integration, and system-level tests to ensure Hivemind software quality and stability across releases
  • Identify, reproduce, and diagnose software issues—collaborating closely with development teams to drive fixes and improvements
  • Create and execute test plans and documentation for autonomy software in simulated environments, ensuring mission and safety requirements are met
  • Design, implement, and maintain simulation-based test frameworks to validate Hivemind autonomy behavior and performance
  • Build tools and utilities in Python to automate testing, data processing, and analysis workflows
  • Develop test harnesses and data validation tools for Software-in-the-Loop (SIL) / Hardware-in-the-Loop (HIL) / Vehicle-in-the-Loop (VIL) and simulation environments
  • Contribute to the definition of testing methodologies, metrics, and performance benchmarks for autonomy software validation
  • Support the scaling and reliability of simulation infrastructure used for large-scale software validation
  • Maintain detailed and accurate test documentation, ensuring traceability and knowledge sharing across teams
  • Work with developers to integrate test coverage directly into the development pipeline (CI/CD)
Required qualifications:
  • Typically requires a minimum of 3-5 years of related experience with a Bachelor’s degree; or 2-4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience
  • Proficiency in Python
  • Experience in robotics, small UAS, or related hands-on engineering projects
  • Strong analytical, problem-solving, and debugging skills
  • Passionate about intelligent aircraft systems
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional software, hardware and mechanical engineering teams
  • Adaptability and a willingness to learn new technologies and methodologies quickly in a fast-paced environment 
  • The ability to obtain and maintain a SECRET Clearance. US citizenship is required as only US citizens are eligible for a security clearance. 
Preferred qualifications:
  • Experience testing autonomous systems, robotics software, or flight autonomy algorithms
  • Familiarity with C++ and software/hardware integration concepts.
  • Experience with HIL or VIL test environments.
  • Exposure to machine learning or AI-driven autonomy systems.
  • Background in simulation infrastructure design, distributed testing, or test data management.
  • Quality Assurance (QA) experience, including process definition, metrics, and validation tracking
  • Experience with aerospace, defense, or mission-critical software
  • Active SECRET clearance preferred
#LI-KC3
#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. 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.