Data Annotator - General Knowledge (Remote) Job at Slate Professional Resources, Inc., New York, NY

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  • Slate Professional Resources, Inc.
  • New York, NY

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.

Job Tags

Remote job, Hourly pay, Permanent employment, Flexible hours,

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