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Live In Ai Validation Jobs in Austin, TX (NOW HIRING)

... months. • Validate AI-driven product features through real-world testing and feedback from ... Expertise in at least one: Python, C++, or C. • ML Framework Proficiency: Hands-on experience ...

... months. • Validate AI-driven product features through real-world testing and feedback from ... Expertise in at least one: Python, C++, or C. • ML Framework Proficiency: Hands-on experience ...

Product Support Specialist

Austin, TX · On-site

$75K - $85K/yr

... in AI and the future of work Salary and other bits: * Salary: $75,000 + $85,000 Equity * This will be a fully remote role to begin with as we build out our Austin presence. Hence, you must live in ...

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Live In Ai Validation information

See Austin, TX salary details

$22

$51

$77

How much do live in ai validation jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for live in ai validation in Austin, TX is $51.54, according to ZipRecruiter salary data. Most workers in this role earn between $39.09 and $62.64 per hour, depending on experience, location, and employer.

What is a live in AI validation job?

Live In AI Validation jobs involve working closely with artificial intelligence systems to test, review, and improve their performance in real-world settings. Professionals in this role typically monitor the outputs of AI algorithms, validate data quality, and provide feedback to ensure the AI operates accurately and ethically. These jobs may require living on-site or being embedded in environments where the AI is deployed, such as smart homes, research labs, or automated facilities. The goal is to bridge the gap between AI development and real-world application, ensuring the technology is reliable and effective.

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

To thrive as a Live In AI Validation Specialist, you need a solid background in computer science, data analysis, and machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with tools such as Python, TensorFlow, and data annotation platforms, as well as an understanding of AI validation protocols, is typically required. Attention to detail, critical thinking, and strong communication skills are essential soft skills for ensuring accurate validation and effective collaboration with development teams. These competencies are crucial for maintaining AI system quality, reliability, and alignment with real-world requirements.

What are some common challenges faced by professionals in live in AI validation roles, and how can they be addressed?

Professionals in Live-In AI Validation often encounter challenges such as managing large-scale data collection in real-time environments and ensuring the accuracy of AI outputs in dynamic, real-world settings. Collaboration with data scientists, engineers, and end users is key to troubleshooting unexpected behaviors and improving system reliability. Strong communication and adaptability help team members quickly respond to new scenarios or hardware changes during validation. Staying up-to-date with the latest AI validation tools and continuous feedback loops can also significantly enhance the effectiveness of the validation process.

What is the difference between Live In Ai Validation vs Live In Data Entry?

AspectLive In Ai ValidationLive In Data Entry
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, client-facing, flexible hoursRemote, client-facing, flexible hours
Industry UsageAI, tech, data servicesVarious industries, administrative tasks
Common Search IntentAI validation, data verification jobsData entry, administrative jobs

Live In Ai Validation involves verifying and validating AI-generated data to ensure accuracy, often requiring critical thinking and familiarity with AI tools. In contrast, Live In Data Entry focuses on inputting data into systems, emphasizing speed and accuracy. Both roles are remote and require similar skills but serve different functions within the data management industry.

What are the most commonly searched types of Ai Validation jobs in Austin, TX?

The most popular types of Ai Validation jobs in Austin, TX are:

What are popular job titles related to Live In Ai Validation jobs in Austin, TX?

For Live In Ai Validation jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Live In Ai Validation jobs in Austin, TX look for?

The top searched job categories for Live In Ai Validation jobs in Austin, TX are:

What cities near Austin, TX are hiring for Live In Ai Validation jobs?

Cities near Austin, TX with the most Live In Ai Validation job openings:

Infographic showing various Live In Ai Validation job openings in Austin, TX as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $107,202 per year, or $51.5 per hour.

Lead AI Validation and Test Engineer

Advanced Micro Devices, Inc

Austin, TX • On-site

Full-time

Re-posted 3 days ago


Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 159 rated electronics manufacturers


Job description


ADVANCE YOUR CAREER. ADVANCE THE WORLD. 

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. 

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.



THE ROLE:

The technical leader will be responsible for System and Silicon validation of AMD EPYC Server & AMD Instinct products. The successful candidate will work as part of the post-silicon validation group; facilitating all aspects of validation  and debug for system level failures working with engineering teams across AMD. Candidate will be immersed in challenging system debug work as well as developing & executing validation strategy for optimal debug throughput on current product to meet milestones at POR quality. The system debug lead will also help in driving improvements to future debug methodology. The candidate should be able to work in a global environment while maintaining a synergetic culture.  

THE PERSON:

We are looking for a disciplined and dynamic, Lead System Validation Engineer - AI Rack Validation to join our growing post-Si debug team supporting the next generation of AMD’s flagship server CPU & Instinct products. As a diligent leader in Validation, you will drive balanced, scalable, and automated solutions to avail optimal debug throughput. In this high visibility position, you will be part of a leading team to innovate and improve AMD’s abilities to deliver the highest quality, industry leading technologies to market. Your technical leadership skills, validation and debug expertise will be necessary towards product development, definition, root cause and resolution.Your agility and collaborative approach will be essential to work with.

Engineering teams and other stakeholders (System Architects, IP design, SoC, FW, SW, manufacturing).

KEY RESPONSIBILITIES

  • Lead system-level, rack-level, and cluster-scale validation strategy for AI and machine learning server platforms.
  • Define and drive comprehensive validation plans covering customer deployment scenarios across scale-up and scale-out environments.
  • Develop validation methodologies and test strategies spanning CPU, GPU, memory, BIOS, BMC, networking, storage, platform firmware, operating systems, and infrastructure components.
  • Collaborate with architecture, hardware, firmware, software, and platform engineering teams to define validation requirements, identify coverage gaps, and improve overall product quality.
  • Lead investigation and root cause analysis of complex hardware, firmware, software, networking, and system integration issues.
  • Drive technical decision-making within the validation organization and influence cross-functional teams to resolve critical product risks and quality concerns.
  • Define and enhance scalable validation frameworks, automation infrastructure, telemetry-driven workflows, and data-driven validation methodologies.
  • Analyze large-scale validation data to identify systemic failures, reliability risks, performance bottlenecks, and product readiness concerns.
  • Establish validation readiness criteria, quality metrics, and coverage strategies that improve execution efficiency and provide early risk identification.
  • Mentor and provide technical leadership to engineers, helping improve validation methodologies, automation capabilities, debugging effectiveness, and system-level engineering practices.
  • Drive execution across multiple validation programs while managing priorities, dependencies, schedules, and technical risks.
  • Communicate validation status, readiness assessments, quality metrics, technical recommendations, and key risks to senior technical leadership and management.
  • Support customer-focused validation efforts by ensuring test environments accurately represent real-world deployment conditions and hyperscale operating environments.
  • Drive continuous improvements in validation processes, tools, and automation to improve organizational efficiency, test coverage, and product quality.

PREFERRED EXPERIENCE:

  • Extensiveexperience in validation roles involving debugging OS, FW, Silicon, and HW issues.
  • Understanding of industry standard busses and their software stack, such asPCIe, CXL.
  • Strong knowledge of X86 architecture, SoC design, memory, RAS & power management
  • Extensive knowledge of system architecture, technical debug, and validation strategy
  • Good understanding and experience in platform/ system level debug, Operating System, Device Drivers and System BIOS interactions.
  • Excellent communication and coordination skills.
  • Detailed oriented, highly organized, able to prioritize, and juggle multiple work streams to tight deadlines.
  • Strong analytical/problem-solving skills and pronounced attention to details
  • Experience in technical program management.
  • A thorough understanding of datacenter industry technologies and their software stack.
  • Must be a self-starter, and able to independently drive tasks to completion 

ACADEMIC CREDENTIALS: 

  • Bachelors or Masters degree in electrical or computer engineering preferred.

LOCATION: Austin, TX or Secaucus, NJ 

#LI-SC3



Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or 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.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Qualifications:

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or 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.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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