2

Remote Online Data Annotation Jobs (NOW HIRING)

$20/hr

Remote Compensation: $20 per hour Openings: 600 Role Overview We are seeking detail-oriented Data Annotation Generalists to support the training of next-generation AI systems. Your work will involve ...

next page

Showing results 1-20

Remote Online Data Annotation information

What is the difference between Remote Online Data Annotation vs Remote Data Labeler?

AspectRemote Online Data AnnotationRemote Data Labeler
Primary RoleAnnotating data for AI training, including images, text, audioLabeling data to categorize or tag content for machine learning
Skills & CertificationsAttention to detail, basic technical skills, sometimes familiarity with annotation toolsSimilar skills, often no formal certifications required
Work EnvironmentRemote, often part-time or freelanceRemote, flexible hours, similar industry usage
Industry UsageAI, machine learning, data science companiesAI training datasets, machine learning projects

Both roles involve labeling data for AI models, with Remote Online Data Annotation often encompassing a broader range of annotation tasks and tools. They share similar work environments and industry applications, making them closely related but with slight differences in scope and complexity.

What cities are hiring for Remote Online Data Annotation jobs? Cities with the most Remote Online Data Annotation job openings:
What are the most commonly searched types of Remote Data Annotation jobs? The most popular types of Remote Data Annotation jobs are:
What states have the most Remote Online Data Annotation jobs? States with the most job openings for Remote Online Data Annotation jobs include:

Data Annotation Generalist

Recruitment Room

Remote

$20/hr

Contractor

Posted 14 days ago


Job description

Data Annotation Generalist

Contract Type: Hourly, Independent Contractor

Location: Remote

Compensation: $20 per hour

Openings: 600

Role Overview

We are seeking detail-oriented Data Annotation Generalists to support the training of next-generation AI systems. Your work will involve labeling, categorizing, and annotating diverse datasets to ensure accuracy, consistency, and high-quality input for machine learning models.

Key Responsibilities
  • Data Labeling: Annotate and categorize datasets with precision, following project guidelines.

  • Quality Assurance: Review and correct annotations to maintain data integrity.

  • Collaboration: Work with teams to clarify requirements and resolve ambiguities.

  • Documentation: Maintain clear records of annotation workflows.

  • Tool Feedback: Suggest improvements to annotation tools and processes.

  • Communication: Share insights and raise issues effectively through written and verbal channels.

  • Adaptability: Adjust to evolving instructions and new data types.

Required Skills Qualifications
  • Proficiency in data annotation, labeling, or preparation for machine learning

  • Exceptional attention to detail and accuracy

  • Strong written and verbal communication skills

  • Ability to interpret complex instructions consistently across large datasets

  • Experience with annotation tools or platforms used in AI development

  • Analytical mindset and problem-solving skills

  • Ability to work independently in a remote environment

Preferred Qualifications
  • Background in linguistics, computer science, or data science

  • Experience contributing to AI training or NLP projects

  • Familiarity with multiple data types (text, image, audio, video)