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Home Based Data Annotation Jobs in Nevada (NOW HIRING)

Showing results 21-40

Home Based Data Annotation information

What is the difference between Home Based Data Annotation vs Data Labeler?

AspectHome Based Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailSimilar; no formal certifications typically required
Work EnvironmentRemote, home-basedRemote or in-office, depending on employer
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job TasksAnnotating data for training AI modelsLabeling data for AI training

Both roles involve labeling data for AI systems, often working remotely. Home Based Data Annotation emphasizes working from home with flexible hours, while Data Labeler may work in various environments. Both positions are essential in AI development and share similar skills and industry usage.

What are the most commonly searched types of Data Annotation jobs in Nevada?

The most popular types of Data Annotation jobs in Nevada are:

What are popular job titles related to Home Based Data Annotation jobs in Nevada?

For Home Based Data Annotation jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Home Based Data Annotation jobs in Nevada look for?

The top searched job categories for Home Based Data Annotation jobs in Nevada are:

What cities in Nevada are hiring for Home Based Data Annotation jobs?

Cities in Nevada with the most Home Based Data Annotation job openings:

Infographic showing various Home Based Data Annotation job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Flexible remote AI work. Your schedule. Paid weekl

Henderson, NV โ€ข On-site

Other

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Job description

What You'll Do

Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.

Who We're Looking For

Detail-oriented individuals who take quality seriously and can follow detailed instructions consistently. Strong readers and writers with good judgment are a great fit. Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required.

Requirements
  • Strong attention to detail
  • Clear written communication skills
  • Reliable internet connection and computer
  • Ability to work independently and meet deadlines
  • Basic familiarity with web-based tools or online forms
What We Offer
  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

Ready to apply? Join a team helping build the data foundation behind better technology.

Workada is an Equal Opportunity Employer.