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Full Time Ai Validation Jobs (NOW HIRING)

... 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 ...

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 ...

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 ...

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

$203K/yr

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

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 Sep 3, 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 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.

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 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.

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What job categories do people searching Full Time Ai Validation jobs look for?

The top searched job categories for Full Time Ai Validation jobs are:

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 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Technical Director Validation

Rambus

Johns Creek, GA • Hybrid

$160K - $298K/yr

Full-time

Medical, Dental, Retirement

Re-posted 22 days ago


Job description

Rambus, a premier chip and silicon IP provider, is seeking to hire an exceptional Technical Director Validation Engineer to join our Memory Interface Chip business unit. Candidates will be joining some of the brightest inventors and engineers in the world to develop products that make data faster and safer. 

The Technical Director ValidationEngineer is aFull-Timeposition and the candidate will work in the lab to automate data collection and provideframework to develop validation environment to check system performance and specification compliance.The candidate is required to have experience with processor-memory interfaces, including DDR topologies and protocols, as well as high-speed signaling, including signal integrity and power integrity concepts. 

Rambus offers a flexible work environment, embracing a hybrid approach for most office-based roles. Employees are encouraged to spend an average of at least three days per week onsite, allowing for two days of remote work.  


  • Lab bring-up and validation of high-speed memory buffer semiconductor products. 
  • Develop test methodologies for validating silicon designs against specifications. 
  • Develop scripts for automating lab equipment and for analyzing lab data. 
  • Lead validation tasks on bench planning, preparation, characterization execution, methodology improvements.
  • Work with silicon design teams to develop experiments, drive data collection, and present results analysis.
  • Provide inputs to FPGA, system, and PCB design requirements. 
  • Support Applications Team in understanding and resolving customer issues. 

  • Experience in Bench testing and characterization of high speed and/or memory IO devices, exposure to DDRx  characterization is preferable.
  • Proficiency with validation hardware and board design fundamentals 
  • Skilled in high-speed lab equipment such as oscilloscopes, BERTs, and signal generators
  • Hands-on lab work and writing software for lab automation, especially python.
  • Must be a team player, working well with other lab engineers and circuit designers. 
  • B.S. or M.S. degree in Electrical Engineering. 
  • 20+ years of relevant experience

Desired Skills: 

  • Experience or knowledge of ATE or/and System Testing
  • Experience in high speed digital designs, boards designs, PCB layouts, and signal integrity concepts
  • Working knowledge of test and measurement equipment, troubleshooting and debugging. 
  • Experience with hardware test equipment logic analyzers and protocol analyzers

About Rambus 

Rambus is a global company that makes industry-leading memory interface chips and Silicon IP to advance data center connectivity and solve the bottleneck between memory and processing. With over 30 years of semiconductor experience, we are a leading provider of high-performance products and innovations that maximize the bandwidth, capacity and security for AI and other data-intensive workloads. Our world-class team is the foundation of our company, and our innovative spirit drives us to develop the cutting-edge products and technologies essential for tomorrow’s systems.  

Rambus offers a competitive compensation package including base salary, bonus, equity, matching 401(k), employee stock purchase plan, comprehensive medical and dental benefits, time-off program, and gym membership.  

The US salary range for this full-time position is $160,700 to $298,400. Our salary ranges are determined by role, level and location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. 

At Rambus, we are committed to fostering a workplace where every individual is respected, supported, and empowered to succeed. We value a range of perspectives and experiences that contribute to innovation and collaboration. Our goal is to ensure that all team members have equitable access to opportunities, resources, and a sense of belonging. We believe that a culture of fairness and inclusion helps us all do our best work. 

 
Rambus is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or other applicable legally protected characteristics.  

Rambus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our job application procedures. If you require assistance or an accommodation due to a disability, please feel free to inform us in your application. 

Rambus does not accept unsolicited resumes from headhunters, recruitment agencies or fee-based recruitment services. 

For more information about Rambus, visit rambus.com. For additional information on life at Rambus and our current openings, check outrambus.com/careers/. 

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