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Remote Validation Engineer Jobs in California (NOW HIRING)

Air Aviation LLC

Manufacturing Engineer

San Jose, CA · Remote

$85K - $110K/yr

Air Aviation is seeking a Manufacturing Engineer to support client projects on a part-time remote ... Support the development, testing, and validation of mechanical systems, assemblies, and components.

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Remote Validation Engineer information

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$22

$51

$77

How much do remote validation engineer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for remote validation engineer in California is $51.32, according to ZipRecruiter salary data. Most workers in this role earn between $38.89 and $62.40 per hour, depending on experience, location, and employer.

What are the typical day-to-day responsibilities of a remote validation engineer?

Remote Validation Engineers are responsible for developing and executing test plans, analyzing results, and documenting findings to ensure products meet required standards and specifications. They often collaborate virtually with design, development, and quality teams to identify issues and recommend improvements. Daily tasks may include running automated tests, preparing validation reports, participating in team meetings, and troubleshooting system behaviors. Adapting to shifting project requirements and effectively communicating in a remote setting are also integral parts of the role.

What are the key skills and qualifications needed to thrive as a remote validation engineer, and why are they important?

To thrive as a Remote Validation Engineer, you need a strong background in engineering or computer science, expertise in validation protocols, and experience with testing methodologies. Familiarity with validation tools such as simulation software, automated test platforms, and knowledge of industry compliance standards (e.g., ISO, FDA, or automotive standards) is typically required, and certifications like ISTQB can be beneficial. Excellent problem-solving skills, attention to detail, and strong written and verbal communication are important for collaborating across distributed teams. These skills ensure the effectiveness and reliability of complex products or systems while supporting seamless teamwork in a remote work environment.

What is a remote validation engineer?

A Remote Validation Engineer is responsible for testing and verifying that products, systems, or software meet required specifications and function correctly. They develop test plans, run simulations, analyze data, and document results—all while working remotely. This role is common in industries like automotive, semiconductor, and software development, ensuring quality and compliance with standards. Strong technical skills, attention to detail, and proficiency with validation tools are essential.

What are the most commonly searched types of Validation Engineer jobs in California? The most popular types of Validation Engineer jobs in California are:
What are popular job titles related to Remote Validation Engineer jobs in California? For Remote Validation Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Validation Engineer jobs in California look for? The top searched job categories for Remote Validation Engineer jobs in California are:
What cities in California are hiring for Remote Validation Engineer jobs? Cities in California with the most Remote Validation Engineer job openings:
Remote Validation Engineer jobs near you
Infographic showing various Remote Validation Engineer job openings in California as of August 2026, with employment types broken down into 8% Internship, 67% Full Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $106,736 per year, or $51.3 per hour.

AI Software Engineer Expert - Remote

YO AI Labs

San Jose, CA • Remote

$100 - $200/hr

Part-time

Posted yesterday

New

Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.