Mercor - Generalist Data Annotation Expert, application via RippleMatch

This role is with Mercor. Mercor uses RippleMatch to find top talent.

Role Overview

Mercor is 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. This engagement is expected to run through the end of October, with the possibility of extension until the end of the year. 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

• Remote and asynchronous: contractors set their own schedules

• Expected commitment: ~20 hours/week

• Project duration: likely through year-end

Compensation & Contract Terms

• $45/hour for U.S.-based contractors

• Payments issued weekly via Stripe Connect

• Contractors are classified as independent service providers

How To Apply

1. If your application moves forward on RippleMatch, you will be sent an external assessment link, which must be completed on Mercor's website

2. After creating your Mercor profile and submitting your application, you'll complete a quick Training Assessment.

3. Most applicants hear back within 1-2 business days.