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Live In Ai Validation Jobs in Texas (NOW HIRING)

Live-In Caregiver

Argyle, TX ยท On-site

$210 - $230/day

Live-In Caregiver (Female Preferred) - Non-Medical Home Care Are you a compassionate, dependable ... Reliable transportation with a valid driver's license and current auto insurance is required.

Live-In Caregiver

Brenham, TX ยท On-site

$1.6K/wk

... valid driver's license required) - Communicate positively and respectfully with clients, families, and team members Qualifications: - Experience in caregiving or personal care assistance preferred ...

Live-In Caregiver

La Vernia, TX ยท On-site

$13 - $16.25/hr

In addition, we emphasize training and hiring a diverse workforce with the lived experience and ... Must have reliable transportationCurrent valid Texas Driver's License & current automobile ...

Live-In Caregiver

Luling, TX ยท On-site

$11.50 - $14.75/hr

In addition, we emphasize training and hiring a diverse workforce with the lived experience and ... Must have reliable transportationCurrent valid Texas Driver's License & current automobile ...

Showing results 41-60

Live In Ai Validation information

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 Texas?

The most popular types of Ai Validation jobs in Texas are:

What are popular job titles related to Live In Ai Validation jobs in Texas?

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

What cities in Texas are hiring for Live In Ai Validation jobs?

Cities in Texas with the most Live In Ai Validation job openings:

Lead, AI Quality & Reliability Engineering

Vizient

Irving, TX โ€ข On-site

$88K - $155K/yr

Full-time

Re-posted 3 days ago


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary

In this role, you will lead the day-to-day execution and delivery of AI Quality Engineering initiatives supporting Vizient's enterprise AI transformation efforts. You will help ehelp implement AI Quality Engineering practices, AI validation processes, AI-assisted testing approaches, runtime quality controls, and scalable testing frameworks supporting responsible deployment of AI-powered business solutions. This role combines hands-on quality engineering leadership, AI-enabled testing modernization, healthcare workflow validation, team leadership, and cross-functional delivery coordination to ensure the reliability, performance, and governance of AI-enabled systems.

Responsibilities

  • Lead day-to-day AI Quality Engineering activities supporting AI-powered applications, LLM-enabled workflows, intelligent automation solutions, agentic systems, and enterprise AI platforms.
  • Implement AI Quality Engineering practices, including AI-native testing approaches, validation processes, runtime quality controls, reusable testing accelerators, and scalable testing workflows.
  • Coordinate AI validation efforts, including functional testing, prompt testing, workflow validation, regression testing, defect management, release readiness, and production quality assurance.
  • Partner with AI Engineering, AIOps, LLMOps, Security, Governance, Clinical, Data, and Product teams to ensure scalable and effective quality engineering processes across AI initiatives.
  • Support runtime quality and reliability through observability, monitoring, telemetry analysis, incident support, drift detection, distributed tracing, and continuous improvement initiatives.
  • Drive adoption of AI-assisted testing, intelligent automation, reusable test assets, and modern quality engineering practices that improve efficiency and quality outcomes.
  • Lead delivery coordination activities including sprint execution, testing planning, issue tracking, risk identification, dependency management, and release support.
  • Collaborate with clinical, operational, and engineering stakeholders to validate healthcare workflows, payer operations, and AI-enabled business processes while supporting responsible AI deployment.
  • Mentor quality engineers, analysts, contractors, and delivery teams while fostering a culture of continuous learning, engineering excellence, and operational accountability.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field preferred.
  • 7 or more years of experience in Quality Engineering, Software Testing, Quality Assurance, or related technology disciplines required.
  • 1 or more years of experience supporting AI Quality Engineering, AI testing, AI validation, AI-enabled automation, or modern AI engineering initiatives preferred.
  • Strong experience supporting Quality Engineering or Quality Assurance activities across enterprise platforms, APIs, operational workflows, healthcare applications, or integrated business systems required.
  • Experience with enterprise testing practices, test automation frameworks, SDLC methodologies, Agile delivery models, defect management, release validation, and production support coordination required.
  • Strong analytical, organizational, communication, collaboration, and leadership skills required.
  • Ability to manage multiple priorities within fast-paced, evolving, and highly collaborative enterprise environments required.
  • Experience with Python, APIs, automation frameworks, AI-enabled workflows, or modern software engineering practices preferred.
  • Experience supporting AI/ML platforms, orchestration frameworks, runtime monitoring, observability tooling, or AI operational support processes preferred.
  • Familiarity with AI-assisted testing, AI evaluation approaches, prompt testing, runtime observability, operational monitoring, drift detection, or AI operational assurance practices preferred.
  • Experience supporting enterprise modernization or transformation initiatives involving AI, automation, or operational scaling preferred.

#LI-JB1

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $88,900.00 to $155,500.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.