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Remote Ai Validation Jobs (NOW HIRING)

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

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Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... This compensation range is specific to a remote role and takes into account the wide range of ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... This compensation range is specific to a remote role and takes into account the wide range of ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... This compensation range is specific to a remote role and takes into account the wide range of ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... This compensation range is specific to a remote role and takes into account the wide range of ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... This compensation range is specific to a remote role and takes into account the wide range of ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... This compensation range is specific to a remote role and takes into account the wide range of ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... This compensation range is specific to a remote role and takes into account the wide range of ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... This compensation range is specific to a remote role and takes into account the wide range of ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... This compensation range is specific to a remote role and takes into account the wide range of ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... This compensation range is specific to a remote role and takes into account the wide range of ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... This compensation range is specific to a remote role and takes into account the wide range of ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... This compensation range is specific to a remote role and takes into account the wide range of ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... This compensation range is specific to a remote role and takes into account the wide range of ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... This compensation range is specific to a remote role and takes into account the wide range of ...

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Remote Ai Validation information

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$51

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How much do remote ai validation jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote 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 remote AI validation specialist?

To thrive as a Remote AI Validation Specialist, you need strong analytical abilities, attention to detail, and a background in computer science, data science, or a related field. Familiarity with machine learning frameworks, data annotation tools, and quality assurance platforms is typically required. Excellent communication, problem-solving skills, and the ability to work independently are essential soft skills for success in a remote environment. These skills ensure accurate validation of AI models, high-quality data outputs, and effective collaboration with distributed teams.

What is a remote AI validation?

A Remote AI Validation job involves evaluating and testing artificial intelligence models to ensure they work accurately and reliably. People in this role often review AI-generated content, annotate data, or provide feedback on machine learning outputs. The work is typically done online, allowing for flexible, remote schedules. Remote AI Validators play a crucial role in improving AI systems by identifying errors, biases, or inaccuracies in model predictions.

Are these remote AI validation jobs legit?

Remote AI validation jobs are legitimate roles that involve reviewing and verifying AI outputs, often requiring attention to detail and familiarity with AI tools. However, job seekers should verify the employer's credibility and be cautious of scams by researching the company and avoiding upfront payments or suspicious requests.

What are the typical challenges faced by professionals working in remote AI validation roles, and how can they be addressed?

Professionals in remote AI validation roles often encounter challenges such as managing communication across distributed teams, ensuring consistent access to data and computational resources, and maintaining alignment on validation protocols. Overcoming these hurdles typically involves leveraging collaborative tools, establishing clear documentation practices, and participating in regular virtual meetings. Additionally, staying updated with evolving AI validation standards and fostering open communication with data scientists, engineers, and product managers can help ensure accuracy and efficiency in the validation process.

What is the difference between Remote Ai Validation vs Remote Data Labeler?

AspectRemote Ai ValidationRemote Data Labeler
Required CredentialsBasic understanding of AI/ML concepts, sometimes with certificationsNo formal credentials typically required
Work EnvironmentRemote, often collaborative with AI teamsRemote, individual or team-based labeling tasks
Industry UsageUsed in AI development, quality assurance for modelsUsed in data preparation for machine learning
Common Search IntentComparing roles in AI validation and data labelingLooking for data annotation or labeling jobs

Remote Ai Validation involves verifying and ensuring the quality of AI outputs, often requiring some understanding of AI/ML concepts. Remote Data Labeler focuses on annotating data for training models, typically with minimal formal credentials. Both roles are remote and essential in AI development, but they differ in responsibilities and skill requirements.

More about Remote Ai Validation jobs
What cities are hiring for Remote Ai Validation jobs? Cities with the most Remote Ai Validation job openings:
What are the most commonly searched types of Ai Validation jobs? The most popular types of Ai Validation jobs are:
What states have the most Remote Ai Validation jobs? States with the most job openings for Remote Ai Validation jobs include:
Infographic showing various Remote Ai Validation job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

System Validation Manager

Cornelis Networks, Inc.

Wayne, PA โ€ข Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Salary:

Cornelis Networks delivers the worlds highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the worlds most demanding computational challenges with our next-generation networking solutions.


We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.


As a System Validation Manager at Cornelis Networks, you will build and lead our System Validation team while collaborating with engineering leaders across the organization to define and execute comprehensive validation strategies for our current and next-generation networking products. You will be responsible for developing validation plans, driving automation, establishing scalable processes, and ensuring the quality and reliability of complex hardware and software systems.


In this leadership role, you will balance engineering priorities, customer expectations, and product delivery timelines while fostering a high-performing validation organization focused on quality, efficiency, and continuous improvement.


Responsibilities

  • Build, lead, mentor, and grow a high-performing System Validation team.
  • Develop software validation plans and strategies based on functional requirements.
  • Define and oversee validation activities throughout the software development lifecycle, from manual exploratory testing to fully automated regression test suites.
  • Design, develop, maintain, and enhance automated test frameworks and validation infrastructure.
  • Configure and maintain continuous integration (CI) systems, monitor test results, and drive timely triage of validation failures.
  • Troubleshoot and resolve issues across system, network, hardware, and software layers.
  • Establish validation processes, metrics, dashboards, and reporting to measure product quality and team effectiveness.
  • Ensure thorough documentation of validation plans, test procedures, execution results, and release readiness.
  • Partner closely with hardware, firmware, software, and product engineering teams to identify, prioritize, and resolve defects.
  • Drive continuous improvements in validation methodologies, automation, tooling, and best practices.
  • Support product qualification efforts to ensure successful customer deployments and product releases.


MinimumQualifications

  • Experience leading technical teams responsible for validation and qualification of complex networking, distributed systems, or comparable hardware and software platforms.
  • Demonstrated success building and scaling a system validation organization, including defining processes, automation strategies, tooling, and quality metrics.
  • Strong understanding of software validation methodologies, test automation frameworks, CI/CD pipelines, and defect management.
  • Excellent written and verbal communication skills, with the ability to collaborate across engineering organizations and present status, risks, and metrics to executive leadership.
  • Proven ability to leverage AI technologies to improve validation engineering through AI-assisted development, intelligent automation, and data-driven analytics.
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.


Preferred Qualifications

  • Priornetworkingexperience(e.g., Omni-Path, InfiniBand, Ethernet).
  • Prior Linux system administrationand troubleshootingexperience.
  • Familiarity withtestingofdistributed systemsandrouting/switching concepts.
  • Ability to workindependently and proactivelyin a highly collaborative,multi-disciplinary engineering environment.


Location:This is a remote position for employees residing within the United States.


We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.

At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.

In addition to your base pay, youll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.

Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants needs under the respective laws throughout all stages of the recruitment and selection process.