Role Overview

Collaborating with a leading AI lab to contract detail-oriented generalists for a data annotation project. Contractors will support the development of AI systems by categorizing and labeling diverse datasets using predefined taxonomies. The project offers an opportunity to directly contribute to the accuracy, reliability, and performance of next-generation AI models.

Key Responsibilities

Synthesize information from large volumes of data
Annotate and categorize text, images, and other data according to detailed guidelines
Apply predefined rubrics and taxonomies to produce structured, high-quality outputs
Flag inconsistencies, ambiguities, or errors in datasets
Contribute to the improvement of AI systems through consistent annotation work

Ideal Qualifications

Based in the United States
Ability to synthesize complex or high-volume information into structured formats
Strong critical reasoning, reading comprehension, and written communication skills
Prior experience applying rubrics, taxonomies, or standardized guidelines (preferred but not required)

More About the Opportunity

Expected commitment: ~20 hours/week

Application Process

Submit your resume to begin
Complete a Training Assessment
Typical response time: 1–2 business days

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

You will be engaged as an independent contractor.
This is a fully remote role that can be completed on your own schedule.
Projects can be extended, shortened, or concluded early depending on needs and performance.
Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
Payments are weekly on Stripe or Wise, based on services rendered.

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