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Temporary Ai Validation Jobs (NOW HIRING)

Shield AI

Senior Engineer, Software Test (R4878)

Dallas, TX · On-site

$109K - $142K/yr

Follow Shield AI on LinkedIn, X, Instagram, and YouTube. We are seeking an experienced Test ... Execute verification and validation (V&V) efforts * Analyze test data * Collaborate cross ...

Shield AI

Engineer II, Software Test (R4786)

Dallas, TX · On-site

$95K - $140K/yr

Follow Shield AI on LinkedIn, X, Instagram, and YouTube. We are seeking an experienced Test ... Execute verification and validation (V&V) efforts * Analyzing test data * Collaborating cross ...

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How much do temporary ai validation jobs pay per hour?

As of Jul 3, 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
Senior Quality Technical Program Manager (R4957)

Senior Quality Technical Program Manager (R4957)

Shield AI

Dallas, TX • On-site

$120K - $180K/yr

Full-time

Posted 20 days ago

Job description

Founded in 2015, 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 and V-BAT and X-BAT aircraft. 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:
Join a high-impact quality engineering team driving reliability, validation, and execution excellence across next-generation autonomous systems. This role partners across engineering, test, manufacturing, and program leadership to ensure quality objectives are embedded throughout the product lifecycle. You will lead cross-functional quality initiatives by managing validation efforts, driving issue resolution, tracking technical risk, and improving engineering execution through data-driven program management.
We are seeking a Quality Engineering Technical Program Manager (TPM) with experience leading complex hardware or aerospace quality programs, including validation planning, root cause analysis, reliability tracking, and cross-functional execution.
What you'll do:
  • Lead cross-functional quality engineering programs spanning validation, integration, manufacturing readiness, and field reliability
  • Drive issue triage, root cause investigations, corrective actions, and closure tracking for system-level failures
  • Develop and manage quality plans, schedules, metrics, and risk tracking across engineering teams
  • Coordinate verification and validation activities across hardware, software, manufacturing, and test organizations
  • Partner with engineering leadership to improve release readiness, defect reduction, and development processes
  • Analyze quality and reliability trends to identify systemic issues and improve product performance

Required qualifications:
  • 3+ years of experience in technical program management, quality engineering, systems engineering, or validation leadership in complex hardware or aerospace environments
  • Strong understanding of root cause analysis, corrective actions, and reliability tracking
  • Proven ability to lead cross-functional programs across engineering, manufacturing, and test organizations
  • Experience managing technical risk, program dependencies, and execution tradeoffs in fast-paced development programs
  • Strong analytical, communication, and organizational skills with the ability to drive alignment and accountability across teams

Preferred qualifications:
  • Experience supporting aerospace, defense, robotics, or autonomous systems programs
  • Familiarity with AS9100, ISO 9001, or regulated engineering environments
  • Experience with reliability testing, systems integration, or manufacturing quality
  • Experience using data and automation tools such as Python, SQL, Jira, Power BI, or Tableau to improve quality visibility and execution

$120,000 - $180,000 a year
#LI-JM1
#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.
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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