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Flexible Remote Data Labelling Jobs in Nevada (NOW HIRING)

Schedule: flexible based on assignment Travel: ~ 90%, sometimes up to 100% based on assignment ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

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Flexible Remote Data Labelling information

What is the difference between Flexible Remote Data Labelling vs Data Annotation Specialist?

AspectFlexible Remote Data LabellingData Annotation Specialist
CredentialsBasic computer skills, no formal certification often requiredSimilar; often no formal certification needed
Work EnvironmentRemote, flexible hoursRemote, may have more structured schedules
Industry UsageCommon in AI/ML data preparationUsed in AI/ML, computer vision, NLP projects
Job FocusLabeling data for machine learning modelsAnnotating data to improve model accuracy

Flexible Remote Data Labelling and Data Annotation Specialist roles both involve preparing data for AI and machine learning. The main difference lies in terminology and slight variations in job scope, but both are remote, entry-level positions focused on data labeling and annotation tasks.

What are popular job titles related to Flexible Remote Data Labelling jobs in Nevada?

For Flexible Remote Data Labelling jobs in Nevada, the most frequently searched job titles are:

What cities in Nevada are hiring for Flexible Remote Data Labelling jobs?

Cities in Nevada with the most Flexible Remote Data Labelling job openings:

Flexible remote AI work. Your schedule. Paid weekly, straight to your bank account.

Meridian.ai

Pahrump, NV • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


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.