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Remote Artificial Intelligence Testing Jobs in Renton, WA

MNF Global

Remote Patent Attorney or Patent Agent

Seattle, WA · On-site +1

$140K - $180K/yr

... Artificial Intelligence, Machine Learning, e-Commerce, user interfaces, medical devices, batteries, optics, and materials science sectors . Firm seeks a highly motivated and driven person who will be ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $275K/yr

... through Artificial Spatial Intelligence. Duranta's founding team have built unicorns, had ... Experience with high-res aerial/remote sensing imagery and LiDAR * Experience with self-supervised ...

MindSource

Research Scientist

Seattle, WA · Remote

Seattle, WA (Remote) Duration: 12 months contract with possible of extension Description This role ... Publication(s) in the fields of artificial intelligence, machine learning or data science.

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Remote Artificial Intelligence Testing information

See Renton, WA salary details

$44

$52

$65

How much do remote artificial intelligence testing jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote artificial intelligence testing in Renton, WA is $52.28, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $57.31 per hour, depending on experience, location, and employer.

What is the difference between Remote Artificial Intelligence Testing vs Remote Data Scientist?

AspectRemote Artificial Intelligence TestingRemote Data Scientist
Required CredentialsKnowledge of AI models, programming skills, testing frameworksDegree in Data Science, Statistics, or related field; programming skills
Work EnvironmentRemote, collaborative teams, AI development companiesRemote, research-focused or industry companies, data analysis teams
Employer & Industry UsageTech firms, AI startups, software companiesTech companies, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding AI testing roles, job requirementsData analysis, modeling, AI applications

Remote Artificial Intelligence Testing focuses on evaluating AI models and algorithms, ensuring their accuracy and reliability. Remote Data Scientists analyze data, build models, and derive insights. While both roles require programming skills and familiarity with data and AI, AI Testing emphasizes validation and quality assurance of AI systems, whereas Data Scientists focus on data analysis and model development.

What job categories do people searching Remote Artificial Intelligence Testing jobs in Renton, WA look for? The top searched job categories for Remote Artificial Intelligence Testing jobs in Renton, WA are:
What cities near Renton, WA are hiring for Remote Artificial Intelligence Testing jobs? Cities near Renton, WA with the most Remote Artificial Intelligence Testing job openings:
Remote Artificial Intelligence Testing jobs near you

Cloud Platform Engineer (GCP) - Remote

micro1 AI

Seattle, WA • Remote

$20 - $300/hr

Part-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

GCP DevOps Engineer


Job Type: Full-time


Location: Remote - US


Job Summary:

Join our team as a GCP DevOps Engineer and play a crucial role in designing, building, and maintaining modern cloud infrastructure solutions. You will collaborate closely with talented engineers and stakeholders to deliver scalable, reliable, and secure environments on Google Cloud Platform (GCP). We are seeking a proactive professional with a passion for infrastructure automation and a strong commitment to clear, effective communication.


Key Responsibilities:

• Design, implement, and manage scalable cloud infrastructure solutions on GCP.

• Automate deployment, monitoring, and management processes using industry-leading DevOps practices.

• Administer and optimize Kubernetes clusters for maximum reliability and performance.

• Collaborate with development teams to streamline CI/CD pipelines and refine workflows.

• Ensure the security and compliance of cloud environments by applying best practices.

• Proactively identify and resolve infrastructure bottlenecks and incidents.

• Document solutions and processes with a focus on clarity and thoroughness to support team knowledge sharing.


Required Skills and Qualifications:

• Strong hands-on experience with Google Cloud Platform (GCP).

• Deep expertise in implementing and operating cloud infrastructure in production settings.

• Proficiency with Kubernetes administration and orchestration.

• Solid understanding of DevOps methodologies, tools, and best practices.

• Experience building and maintaining CI/CD pipelines.

• Competence with infrastructure-as-code tools (e.g., Terraform, Deployment Manager).

• Excellent written and verbal communication skills; ability to convey complex concepts clearly.


Preferred Qualifications:

• GCP certifications such as Associate Cloud Engineer or Professional DevOps Engineer.

• Experience with hybrid or multi-cloud environments.

• Familiarity with security best practices and compliance standards relevant to cloud-native architectures.


Compensation & Benefits Notice


The national pay range for this full-time position is base salary of $160,000-$220,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer


The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

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