Offer summary

Qualifications:

Basic understanding of college-level mathematics to handle technical data., Strong attention to detail for accurate labeling and annotation., Proficient in English with strong written and verbal communication skills., Familiarity with data processing and basic software tools is beneficial..

Key responsabilities:

Accurately label and tag multimodal data such as text and images according to project guidelines.

Generate high-quality educational content, including multiple-choice questions for AI training.

Review and verify annotations to ensure consistency and accuracy.

Manage time effectively to meet project deadlines in a flexible remote environment.

Job description

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.

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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