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Live In Ai Validation Jobs in Reno, NV (NOW HIRING)

Sr. Engineer, Industrial AI and Analytics

Sparks, NV · On-site

$106K - $146K/yr

Responsibilities Sr. Engineer, Industrial AI and Analytics (by clicking this link you are being ... All candidates must have valid authorization to work in the U.S. without restriction. Thank you for ...

Ideal candidates live in or near Reno, or nearby neighborhoods and can reliably commute to local ... Candidates must have a valid driver's license and maintain a clean driving record Benefits:

Machine Learning Tutor

Reno, NV · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... advanced technology, AI, and the latest in learning science to create personalized learning ...

HTML Tutor

Reno, NV · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Vibe Coding Tutor

Reno, NV · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a Vibe Coding Tutor * Advanced Subject Mastery: Deep knowledge of AI-assisted ...

Valid driver's license with a clean driving record * CDL Class B with Hazmat and Tanker ... live in and serve. Hear from our current employees and discover the people behind Ferrellgas:

Valid driver's license with a clean driving record * CDL Class B with Hazmat and Tanker ... live in and serve. Hear from our current employees and discover the people behind Ferrellgas:

Valid driver's license with a clean driving record * CDL Class B with Hazmat and Tanker ... live in and serve. Hear from our current employees and discover the people behind Ferrellgas:

... they live in through financial inclusion, education, and empowerment. Why? Simply because we ... Conducting thorough testing and validation of paymentrelated functionalities including updating ...

Qualified candidates preferred to live in the Seattle, WA area. * The territory covers the Pacific Northwest - Montana, Idaho, Seattle, Washington, Oregon, Wyoming, and Nevada. * Must have a Valid ...

Qualified candidates preferred to live in the Seattle, WA area. * The territory covers the Pacific Northwest - Montana, Idaho, Seattle, Washington, Oregon, Wyoming, and Nevada. * Must have a Valid ...

Cursor Tutor

Reno, NV · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a Cursor Tutor * Advanced Subject Mastery: Deep knowledge of Cursor AI-powered ...

Showing results 41-60

Live In Ai Validation information

See Reno, NV salary details

$22

$51

$77

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

As of Aug 6, 2026, the average hourly pay for live in ai validation in Reno, NV is $51.84, according to ZipRecruiter salary data. Most workers in this role earn between $39.33 and $63.03 per hour, depending on experience, location, and employer.

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 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 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 popular job titles related to Live In Ai Validation jobs in Reno, NV? For Live In Ai Validation jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Live In Ai Validation jobs in Reno, NV look for? The top searched job categories for Live In Ai Validation jobs in Reno, NV are:
What cities near Reno, NV are hiring for Live In Ai Validation jobs? Cities near Reno, NV with the most Live In Ai Validation job openings:
Infographic showing various Live In Ai Validation job openings in Reno, NV as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $107,835 per year, or $51.8 per hour.

Director, AI Enablement and Innovation

UKG (Ultimate Kronos Group)

Carson City, NV • On-site

$129.50 - $186.10/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


UKG rating

8.2

Company rating: 8.2 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

106th of 242 rated software companies


Job description

Why UKG:

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.

We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.

About the Role:

Lead innovation and knowledge strategy for CX (Customer Experience) Learning & Enablement by defining knowledge architecture, implementing AI and workflow intelligence solutions, and driving automation across the content lifecycle. Combine product, data and learning expertise to deliver modern, searchable, and integrated knowledge experiences that reduce friction for learners, support agents and partners.

Core Responsibilities:
  • Define and own the knowledge architecture and taxonomy strategy for CX learning and enablement content (including canonical content models, metadata standards, and governance).

  • Design and implement generative AI/RAG solutions, intelligent search, conversational assistants, and contextual learning surfaces that integrate with product workflows and frontline tools.

  • Own strategy and execution for content lifecycle automation and integrations (CMS LMS KM product docs translation pipelines), improving authoring, review, and publishing velocity.

  • Act as technical product owner for integrations and tooling (content APIs, search, knowledge base platforms, LLM infra), coordinate with Product Engineering and P&E for secure, scalable deployments.

  • Drive experimentation and pilot programs to validate AI/automation use cases (e.g., auto-summary, auto-tagging, content recommendations, test generation). Evaluate vendors and open-source approaches; manage POC lifecycle.

  • Implement measurement frameworks for knowledge efficacy: search success, answer relevance, RAG precision/recall, content reuse, time to publish, and impact on case deflection and support outcomes.

  • Build data governance practices for content/AI (bias, privacy, provenance, feedback loops).

  • Collaborate with Curriculum Development, Learning Business Partners, Adoption & Value, and Support to ensure innovation projects map to clear business outcomes.

Basic Qualifications:
  • 8+ years’ experience in knowledge management, product/technical program management, or AI/data product roles with at least 3+ years leading teams or programs.

  • Practical experience deploying enterprise AI/search/KM solutions (LLM/RAG, vector search, knowledge graphs, conversational AI) and implementing integrations between LMS/CMS/KM systems.

  • Strong technical literacy: APIs, data modeling, metadata/taxonomy design, and vendor evaluation for AI/KM tooling.

  • Experience working with engineering/product teams to bring technical solutions to production.

Preferred Qualifications:
  • Bachelor’s degree in technical field, information science, or equivalent experience.

  • Hands-on experience with LLMs, vector databases, RAG approaches, and tools

  • Experience in SaaS/HR tech or with support and digital adoption use cases.

  • Familiarity with content localization pipelines and enterprise taxonomy management.

  • Advanced degree in information science, AI, or related field.

Competencies:

Technical product leadership, innovation & experimentation, systems thinking, data-driven decision making, stakeholder influence across technical and non-technical partners, risk and governance orientation.

Company Overview:

UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com.

Equal Opportunity Employer:

UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.

View The EEO Know Your Rights poster (https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf)

UKG participates in E-Verify. View the E-Verify posters here (https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf) .

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Disability Accommodation in the Application and Interview Process:

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com .

The pay range for this position is $129,500 to $186,100. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG’s benefits and rewards at https://www.ukg.com/about-us/careers/benefits

It is the policy of Ultimate Software to promote and assure equal employment opportunity for all current and prospective Peeps without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status entitled to protection under federal, state, or local anti-discrimination laws. This policy governs all matters related to recruitment, advertising, and initial selection of employment. It shall also apply to all other aspects of employment, including, but not limited to, compensation, promotion, demotion, transfer, lay-offs, terminations, leave of absence, and training opportunities.

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