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Full Time Ai Validation Jobs (NOW HIRING)

Codvo.ai

... validation planning and execution for Edge AI products. - Gather and prioritize customer and ... FULL_TIME

Micron

Senior SSD Validation Engineer

Longmont, CO

$175K - $247K/yr

  • Medical

  • Dental

  • Vision

  • PTO

The US base salary range that Micron Technology, Inc. estimates it could pay for this full-time ... AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application ...

Micron Technology

Senior SSD Validation Engineer

Longmont, CO · On-site

$175K - $247K/yr

  • Medical

  • Dental

  • Vision

  • PTO

The US base salary range that Micron Technology, Inc. estimates it could pay for this full-time ... AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application ...

Rambus

Technical Director Validation

Johns Creek, GA · Hybrid

$160K - $298K/yr

  • Medical

  • Dental

  • Retirement

... AI and other data-intensive workloads. Our world-class team is the foundation of our company, and ... The US salary range for this full-time position is $160,700 to $298,400. Our salary ranges are ...

Rambus

Technical Director Validation

Johns Creek, GA · Hybrid

$160K - $298K/yr

  • Medical

  • Dental

  • Retirement

... AI and other data-intensive workloads. Our world-class team is the foundation of our company, and ... The US salary range for this full-time position is $160,700 to $298,400. Our salary ranges are ...

Rivian

Staff Silicon Validation Engineer

Palo Alto, CA · On-site

$186K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Prior experience in SoC validation including CPU, Memory, GPU and AI Neural Network Processor ... Full-time employee coverage is effective on their first day of employment. Part-time employee ...

Rivian

Staff Silicon Validation Engineer

Palo Alto, CA · On-site

$186K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Prior experience in SoC validation including CPU, Memory, GPU and AI Neural Network Processor ... Full-time employee coverage is effective on their first day of employment. Part-time employee ...

Bristol Myers Squibb

Senior Validation Engineer

Indianapolis, IN · On-site

$107K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Uses AI tools to enhance individual productivity and quality of work Physical Demands While ... full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on ...

Codvo.ai

$203K/yr

Document design specifications, test protocols, and validation reports in accordance with ... Employment Type: FULL_TIME

Rivian

Sr. Silicon Validation Software Engineer

Palo Alto, CA · On-site

$146K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Prior experience in AI accelerator is a plus * Prior experience in SoC peripheral interfaces like ... Full-time employee coverage is effective on their first day of employment. Part-time employee ...

Rivian

Sr. Silicon Validation Software Engineer

Palo Alto, CA

$146K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Prior experience in AI accelerator is a plus * Prior experience in SoC peripheral interfaces like ... Full-time employee coverage is effective on their first day of employment. Part-time employee ...

SUBMER

  • Medical

  • Retirement

ASAP Type of Contract: Full Time / Permanent Travel Requirements: 10% About Submer Submer designs ... We help organizations scale AI beyond the limits of traditional datacenters by enabling higher ...

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Full Time Ai Validation information

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$22

$51

$78

How much do full time ai validation jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for full time 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 is full time AI validation?

Full Time AI Validation jobs involve testing, evaluating, and verifying artificial intelligence models to ensure they perform accurately and reliably. Professionals in these roles assess AI algorithms for correctness, fairness, and bias, often by creating test datasets and running experiments. They work closely with data scientists and engineers to identify issues, improve model performance, and ensure compliance with industry standards. This role is essential in industries such as technology, healthcare, and finance, where trustworthy AI systems are critical.

What is the difference between Full Time Ai Validation vs Data Annotator?

AspectFull Time Ai ValidationData Annotator
Required CredentialsBasic technical skills, sometimes certifications in AI or data labelingMinimal formal credentials, often on-the-job training
Work EnvironmentOffice or remote, collaborative teams, structured schedulesRemote or on-site, independent work, flexible hours
Industry UsageAI development companies, tech firms, startupsData labeling services, AI training datasets, machine learning projects
Search & Comparison IntentUnderstanding career roles, job requirements, industry differencesEntry-level positions, skill development, job opportunities

Full Time Ai Validation involves verifying and testing AI models to ensure accuracy, often requiring technical skills and collaboration within AI teams. Data Annotators focus on labeling data to train AI systems, typically with minimal formal credentials. Both roles are essential in AI development but differ in responsibilities, work environment, and skill requirements.

What are some common challenges faced by professionals working in full-time AI validation roles?

Professionals in full-time AI validation often encounter challenges such as keeping up with rapidly evolving AI technologies and ensuring that models perform reliably across diverse real-world scenarios. Balancing thorough testing with tight project deadlines can require strong organizational skills, as validation must be both comprehensive and timely. Additionally, collaboration with cross-functional teams—including data scientists, software engineers, and product managers—is essential to address issues and iterate on model improvements effectively. Navigating regulatory requirements and maintaining high ethical standards for bias and fairness can also be demanding but are critical aspects of the role.

What are the key skills and qualifications needed to thrive as a full time AI validation specialist?

To thrive as a Full Time AI Validation Specialist, you need a solid background in computer science, statistics, and machine learning principles, often supported by a relevant degree. Familiarity with AI development frameworks, data annotation tools, and testing platforms like TensorFlow, PyTorch, or MLflow is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you identify issues and collaborate with developers. These skills ensure robust model performance, compliance with standards, and the successful deployment of reliable AI systems.
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What are the most commonly searched types of Ai Validation jobs?

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What states have the most Full Time Ai Validation jobs?

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Full Time Ai Validation jobs near you
Infographic showing various Full Time 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.

(US) Edge AI Product Owner - Medical Devices & AI

Codvo.ai

Full-time

Re-posted 2 days ago

Job description

Job Description: Edge AI Product Owner - Medical Devices & AI
Experience Level: 5-8 Years
Department: Product, Data and AI Engineering
About the Role:
We are seeking a visionary and technically adept Edge AI Product Owner to lead the development and lifecycle management of cutting-edge Edge AI solutions in the MedTech domain. This role requires a deep understanding of medical device compliance, AI technologies, and product strategy to deliver impactful and regulatory-compliant solutions.
Key Responsibilities:
- Define and drive the product vision, roadmap, and strategy for Edge AI-enabled medical devices.
- Collaborate with cross-functional teams including engineering, clinical, regulatory, and quality to ensure product alignment and compliance.
- Oversee the development and integration of computer vision and video-based AI algorithms into edge devices.
- Ensure adherence to SaMD classification, regulatory frameworks (e.g., FDA, MDR), and quality processes.
- Lead verification and validation planning and execution for Edge AI products.
- Gather and prioritize customer and stakeholder requirements to inform product decisions.
- Communicate product goals, progress, and risks effectively to internal and external stakeholders.
- Support test data validation and performance evaluation of AI models deployed on edge devices.
Required Qualifications:
- Bachelor's or Master's degree in Engineering, Computer Science, Biomedical Engineering, or related field.
- 5-8 years of experience in product management or ownership, preferably in medical devices or healthcare technology.
- Strong understanding of Edge AI systems, including device architecture, model deployment, and performance optimization.
- Experience with computer vision and video-based AI technologies.
- Familiarity with SaMD regulations, ISO 13485, IEC 62304, and related standards.
- Proven track record in managing regulated software products through the full product lifecycle.
- Excellent verbal and written communication skills.
- Experience with agile methodologies and product management tools.
Preferred Skills:
- Experience with surgical AI applications and edge device integration.
- Knowledge of risk management processes (ISO 14971, 510).
- Familiarity with cloud platforms (AWS, Azure) and CI/CD pipelines.
- Understanding of data privacy and cybersecurity standards in healthcare.
Employment Type: FULL_TIME

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