2

Work From Home Remote Data Labeling Jobs in Appleton, WI

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in financial planning and insurance services. We're looking for driven individuals to join our team as Sales ...

Showing results 21-40

Work From Home Remote Data Labeling information

What is the difference between Work From Home Remote Data Labeling vs Work From Home Remote Data Annotation?

AspectWork From Home Remote Data LabelingWork From Home Remote Data Annotation
Primary TaskLabeling data such as images, videos, or text for machine learningAnnotating data with detailed tags or notes for AI training
Required SkillsBasic understanding of data types, attention to detailSimilar skills, often requiring more specific annotation tools knowledge
Work EnvironmentRemote, flexible hours, online platformsRemote, similar environment, often on the same platforms
Industry UsageCommon in AI and machine learning sectorsUsed in AI, computer vision, NLP projects

Both roles involve remote data work for AI training, with slight differences in task complexity and terminology. Data labeling generally refers to broad categorization, while data annotation involves detailed tagging. They are often used interchangeably but may vary by employer.

How can I get started in work from home remote data labeling?

To start as a remote data labeler, you should develop basic skills in data annotation and familiarize yourself with labeling tools such as Labelbox or Amazon SageMaker Ground Truth. Many companies require a reliable internet connection, attention to detail, and sometimes a simple test or onboarding process before beginning work from home. Gaining experience through online courses or practice datasets can improve your chances of securing a position.

What are popular job titles related to Work From Home Remote Data Labeling jobs in Appleton, WI?

For Work From Home Remote Data Labeling jobs in Appleton, WI, the most frequently searched job titles are:

What job categories do people searching Work From Home Remote Data Labeling jobs in Appleton, WI look for?

The top searched job categories for Work From Home Remote Data Labeling jobs in Appleton, WI are:

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

Meridian.ai

Neenah, WI โ€ข Remote

Full-time

This job post hasย expired today.ย 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.