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Entrylevel Ai Data Labeling Jobs in Nevada (NOW HIRING)

No prior experience in AI is required -- your domain knowledge is what matters. Key ... data. * Follow detailed technical protocols to ensure all submissions meet strict quality, labeling ...

No prior experience in AI is required -- your domain knowledge is what matters. Key ... data. * Follow detailed technical protocols to ensure all submissions meet strict quality, labeling ...

No prior experience in AI is required -- your domain knowledge is what matters. Key ... data. * Follow detailed technical protocols to ensure all submissions meet strict quality, labeling ...

Applicant AI Use Disclosure: We value human interaction to understand each candidate's unique ... and labeling. • Reports to Operations Manager and take daily directions from Technician ...

... of AI/ML platforms. POSITION : Union Data Center Cabling Technician I About the Role: As a ... and labeling. • Reports to Operations Manager and take daily directions from Technician ...

Installing, labeling, and troubleshooting fiber, copper, and other cabling infrastructure ... AI and Automated Employment Decision Tool Policy: . By submitting an application, you are ...

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Entrylevel Ai Data Labeling information

What is the difference between Entrylevel Ai Data Labeling vs Data Annotation Specialist?

AspectEntrylevel Ai Data LabelingData Annotation Specialist
CredentialsBasic computer skills, no formal certification often requiredSimilar; basic skills, sometimes certifications in data management
Work EnvironmentRemote or on-site, repetitive tasksRemote or on-site, similar repetitive tasks
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, healthcare, automotive industries

Both roles involve labeling data for AI training, often requiring similar skills and work environments. The main difference lies in terminology; 'Data Annotation Specialist' may imply a broader scope or more specialized tasks, but both are entry-level roles focused on preparing data for machine learning models.

What are popular job titles related to Entrylevel Ai Data Labeling jobs in Nevada? For Entrylevel Ai Data Labeling jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Entrylevel Ai Data Labeling jobs in Nevada look for? The top searched job categories for Entrylevel Ai Data Labeling jobs in Nevada are:
What cities in Nevada are hiring for Entrylevel Ai Data Labeling jobs? Cities in Nevada with the most Entrylevel Ai Data Labeling job openings:
Infographic showing various Entrylevel Ai Data Labeling job openings in Nevada as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
AI Data Collector - Computer Vision (Remote/Contract)

AI Data Collector - Computer Vision (Remote/Contract)

micro1 AI

Las Vegas, NV • Remote

$13/hr

Part-time

Posted 13 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 — 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 expert’s experience and workflow.


Start Timeline & Availability

We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’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.