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Data Annotator - General Knowledge (Remote) Id-4565

Job Title: Data Annotator - General Knowledge (Remote)
Location: Remote
Hours: Flexible, 10-40 hours per week
Pay: $20-$25 per hour, with opportunities to exceed this through task-based incentives. Pay rates may vary depending on project complexity, education level, and experience (e.g., higher rates for PhDs).

MUST reside within the USA.

Company Overview:
We are at the forefront of innovative, human-in-the-loop data development, driving the future of AI. Specializing in creating high-quality datasets to train, fine-tune, and evaluate AI models, we empower cutting-edge advancements in machine learning. As part of our growing team, you'll play a crucial role in the annotation, curation, and quality control of large datasets, contributing directly to the advancement of AI capabilities.

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Role Overview:
Data annotation is vital to the success of AI models, as it provides the labeled data they rely on for accuracy. We are seeking detail-oriented Data Annotators to assist in labeling and curating multimodal data (text, images) and generating educational content, such as multiple-choice questions. This flexible, remote role allows you to work at your own pace, with opportunities to make a significant impact on AI developments while managing your own schedule and maximizing your earning potential.

Key Responsibilities:
Your tasks may vary based on project requirements, but typically include:

  • Multimodal Data Annotation: Accurately label and tag text, images, or other data formats according to project guidelines.
  • Content Generation: Create clear, high-quality multiple-choice questions or other educational content for AI training purposes.
  • Quality Assurance: Review and verify annotations to ensure consistency, accuracy, and adherence to project standards.

Skills and Qualifications:

  • College-level Mathematics: A basic understanding of mathematics is essential to handle technical data and concepts.
  • Attention to Detail: Precision is key, as accurate labeling impacts the overall performance of AI models.
  • English Proficiency: Strong written and verbal communication skills are crucial, especially when annotating text or generating content.
  • Data Literacy: Experience with data processing, or familiarity with handling various data types, is a plus.
  • Technical Aptitude: Comfort with basic software tools, spreadsheets, or annotation platforms is beneficial.
  • Self-Motivation: Ability to work independently, manage time effectively, and meet project deadlines in a remote environment.

What We Offer:

  • Flexible, competitive pay that allows you to control your earnings.
  • Remote work from anywhere with flexible hours to suit your schedule.
  • The opportunity to collaborate with world-class AI/Client research teams and contribute to the development of advanced AI technologies.
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