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Part Time Ai Tester Jobs in California (NOW HIRING)

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Board Bring Up and Testing: Execute board bring up, verification, validation and HALT testing to ...

Staff Engineer, DevOps (5431)

San Diego, CA · On-site

$56 - $76.75/hr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Hands-on experience integrating automated testing into CI pipelines.  * Demonstrated success ...

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Part Time Ai Tester information

What is a part time AI tester?

Part time AI testers are professionals who evaluate artificial intelligence systems or applications on a part-time basis. Their main responsibilities include testing AI models for accuracy, usability, bias, and functionality, as well as reporting bugs or issues to the development team. Part time positions allow for flexible hours, making this role suitable for students, freelancers, or those seeking additional income. AI testers may work with chatbots, image recognition tools, recommendation systems, or other types of AI products. They often need to document their findings and provide feedback to help improve the AI’s performance.

What are the key skills and qualifications needed to thrive as a part time AI tester?

To thrive as a Part Time AI Tester, you need analytical thinking, attention to detail, and a basic understanding of software testing principles, often supported by some technical or computer science background. Familiarity with testing tools, bug tracking systems, and basic scripting languages like Python is typically required. Strong communication, problem-solving abilities, and adaptability help testers report issues clearly and collaborate effectively with development teams. These skills ensure accurate identification of AI system flaws and contribute to delivering reliable, high-quality artificial intelligence products.

What are some typical challenges faced by part time AI testers, and how can they effectively manage their workload?

Part-time AI testers often face challenges such as adapting quickly to new testing protocols, managing shifting project priorities, and staying updated on evolving AI models. Since their hours are limited, it is crucial to communicate clearly with team leads about task expectations and deadlines. Effective time management, staying organized with detailed notes, and leveraging collaboration tools can help part-time testers contribute meaningfully while maintaining work-life balance. Additionally, proactively seeking feedback and participating in briefings can keep testers in sync with full-time colleagues and project goals.

What is the difference between Part Time Ai Tester vs Part Time Data Annotator?

AspectPart Time Ai TesterPart Time Data Annotator
CredentialsBasic technical skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or office-based, testing AI modelsRemote or office-based, labeling data
Industry UsageAI development, machine learning projectsData preparation, machine learning datasets

Both roles involve data handling and require attention to detail, but Part Time Ai Testers focus on evaluating AI model performance, while Part Time Data Annotators primarily label and prepare data for training AI systems.

What are the most commonly searched types of Ai Tester jobs in California?

The most popular types of Ai Tester jobs in California are:

What cities in California are hiring for Part Time Ai Tester jobs?

Cities in California with the most Part Time Ai Tester job openings:

Infographic showing various Part Time Ai Tester job openings in California as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Staff Engineer, Structural Analysis (R4954)

Shield AI

San Diego, CA

Full-time, Part-time

Re-posted 26 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 is seeking a Structural Analyst to support the structural analysis and testing of advanced UAVs. In this role, you will work closely with Mechanical, Systems, Propulsion, and Aerospace Engineers to ensure the structural integrity of our lightweight, high-performance aircraft. You will contribute to the design, analysis, testing, and optimization of airframe structures and components, ensuring they meet performance, weight, and safety requirements.
 
This role is ideal for engineers with 7+ years of experience looking to gain expertise in finite element analysis (FEA), composite materials, mechanical testing, and aircraft loads analysis in a fast-paced, high-tech aerospace environment.
What you'll do:
  • Assist in building and refining finite element models (FEM) to evaluate the structural performance of UAV components.
  • Perform static, modal, fatigue, and vibration analyses to assess stress, deformation, and durability.
  • Conduct hand calculations to validate FEA results, ensuring accuracy and structural reliability.
  • Work with design engineers to optimize airframe structures, balancing weight, strength, and manufacturability.
  • Support the development of test plans for structural validation, including quasi-static, vibration, and shock testing.
  • Analyze flight telemetry and structural test data to improve modeling accuracy and correlate predictions with real-world performance.
  • Assist in defining load cases, material properties, and design margins for UAV airframe and mechanical components.
  • Document and present structural analysis reports and technical recommendations to engineering teams.
  • Collaborate with cross-functional teams to ensure structural requirements align with system performance goals.
  • Contribute to the continuous improvement of structural analysis methodologies, tools, and best practices.
Required qualifications:
  • B.S. in Mechanical Engineering, Aerospace Engineering, or related field.
  • 7+ years of experience in structural analysis, finite element modeling, or aircraft loads analysis.
  • Experience with FEA tools (ANSYS, NASTRAN, HyperWorks, or similar).
  • Strong ability to perform hand calculations for structural strength, stability, and fatigue analysis.
  • Knowledge of composite materials and lightweight aerospace structures.
  • Familiarity with mechanical testing methods (static, vibration, and fatigue).
  • Proficiency with data analysis tools (Excel, MATLAB, Python, or similar).
  • Strong problem-solving skills, attention to detail, and ability to work in a team environment.
  • Ability to get a S//SAR level security clearance desired.
Preferred qualifications:
  • Master’s degree in Mechanical or Aerospace Engineering.
  • Experience in aircraft structural design, UAV airframe development, or aerospace testing.
  • Hands-on experience with structural testing, modal analysis, or composite modeling.
  • Exposure to CAD software (NX, SolidWorks) and PLM tools (Teamcenter or similar).
  • Understanding of aerospace industry standards, structural certification processes, and material selection.
#LI-JM2
#LD

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.