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Remote Validation Engineer Jobs in Arizona (NOW HIRING)

Location: While this role is open to remote candidates across the United States, team members ... validation sessions when needed * Understand customer-specific needs to provide business-driven ...

Energy Engineer PE I

Tempe, AZ · On-site +1

$103K - $132K/yr

Verify utility performance of facilities and validate savings. * Review and analyze energy ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead ... validation using tools such as Microsoft Purview or equivalent. · Monitor and optimize pipeline ...

Verify utility performance of facilities and validate savings. * Review and analyze energy ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

Verify utility performance of facilities and validate savings. * Review and analyze energy ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

This is a fully remote position. You will be responsible for writing and maintaining automated ... Help build and maintain API test automation (REST and/or GraphQL) to validate services and ...

This is a fully remote position. You will be responsible for writing and maintaining automated ... Help build and maintain API test automation (REST and/or GraphQL) to validate services and ...

Showing results 41-60

Remote Validation Engineer information

See Arizona salary details

$21

$48

$72

How much do remote validation engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote validation engineer in Arizona is $48.45, according to ZipRecruiter salary data. Most workers in this role earn between $36.73 and $58.89 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 Arizona?

The most popular types of Validation Engineer jobs in Arizona are:

What are popular job titles related to Remote Validation Engineer jobs in Arizona?

For Remote Validation Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Remote Validation Engineer jobs in Arizona look for?

The top searched job categories for Remote Validation Engineer jobs in Arizona are:

Infographic showing various Remote Validation Engineer job openings in Arizona as of August 2026, with employment types broken down into 8% Internship, 68% Full Time, and 24% Contract. Highlights an 100% Remote job distribution, with an average salary of $100,786 per year, or $48.5 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Glendale, AZ • Remote

$90 - $120/hr

Part-time

Posted 18 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.