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Live In Ai Validation Jobs in Raleigh, NC (NOW HIRING)

AI Security Engineer Senior Manager

Raleigh, NC ยท On-site

$111K - $152K/yr

As a Senior Manager in AI Security Engineering, you will define and lead the firm's approach to ... model validation, and auditability. Build and Develop Talent Lead, mentor, and scale a high ...

... in a manner consistent with the requirements of the Fair Chance Act (FCA) / Fair Chance Ordinance (FCO). We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

... in a manner consistent with the requirements of the Fair Chance Act (FCA) / Fair Chance Ordinance (FCO). We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Senior Product Marketing Manager - AI

Raleigh, NC ยท Hybrid

$117K - $154K/yr

... in a product marketing role. We are specifically seeking candidates with hands-on generative/agentic AI experience. * Broad market research and analytical skills to inform and validate product ...

Senior Product Marketing Manager - AI

Raleigh, NC ยท Hybrid

$117K - $154K/yr

... in a product marketing role. We are specifically seeking candidates with hands-on generative/agentic AI experience. * Broad market research and analytical skills to inform and validate product ...

Pioneer AI in Enablement: Champion Avalara's AI-First approach by integrating artificial intelligence into how we scale live training, enhance conversation intelligence, scale roleplay coaching, and ...

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Live In Ai Validation information

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

As of Jul 18, 2026, the average hourly pay for live in ai validation in Raleigh, NC is $50.54, according to ZipRecruiter salary data. Most workers in this role earn between $38.32 and $61.44 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, and why are they important?

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 are Live In AI Validation jobs?

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 the most commonly searched types of Ai Validation jobs in Raleigh, NC? The most popular types of Ai Validation jobs in Raleigh, NC are:
What are popular job titles related to Live In Ai Validation jobs in Raleigh, NC? For Live In Ai Validation jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Live In Ai Validation jobs in Raleigh, NC look for? The top searched job categories for Live In Ai Validation jobs in Raleigh, NC are:
Infographic showing various Live In Ai Validation job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $105,133 per year, or $50.5 per hour.
Subject Matter Expert - Video & Motion Analytics

Subject Matter Expert - Video & Motion Analytics

micro1 AI

Raleigh, NC โ€ข Remote

$13/hr

Part-time

Posted 21 days ago


Job description

Job Title: Data-Video Generalist


Job Type: Contractor


Location: Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Key Responsibilities:

  1. Capture precise motion data using your smartphone during specified physical tasks.
  2. Supported devices include the iPhone 12 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.
  3. Record synchronized video footage to validate and enhance the integrity of collected sensor data.
  4. Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards.
  5. Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration.
  6. Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes.
  7. Ensure timely and reliable delivery of data outputs in accordance with project milestones.
  8. Participate in required device compatibility checks and a custom AI-enabled interview process.


Required Skills and Qualifications:

  1. Access to a head strap to be able to record both hands within 48 hours of the start date.
  2. Demonstrated adherence to standardized protocols and rigorous technical instructions.
  3. Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment.
  4. Strong written and verbal communication skills; ability to document work and collaborate remotely.
  5. Experience with mobile devices and a high level of digital literacy.
  6. Physical capability to perform repetitive movement tasks safely and accurately.
  7. Access to a compatible smartphone for high-fidelity sensor and video data collection.
  8. Eligibility to work in designated U.S. states.
  9. Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration.


Compensation Structure

Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expertโ€™s experience and workflow.


Start Timeline & Availability

We typically fill roles within 48 hours, so weโ€™re looking for teammates who are ready to jump in. If selected, weโ€™d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.


Equipment Requirements

Mobile:

Tasks for this project must be performed from a mobile device (smartphone). Experts will record their workflow directly from the mobile device while completing tasks.


Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.