RippleMatch
Mercor - Generalist Data Annotation Expert, application via RippleMatch
RippleMatch, Austin, Texas, us, 78716
Mercor - Generalist Data Annotation Expert
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.
Role Overview 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
If your application moves forward on RippleMatch, you will be sent an external assessment link, which must be completed on Mercor's website
After creating your Mercor profile and submitting your application, you'll complete a quick Training Assessment
Most applicants hear back within 1-2 business days
#J-18808-Ljbffr
Role Overview 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
If your application moves forward on RippleMatch, you will be sent an external assessment link, which must be completed on Mercor's website
After creating your Mercor profile and submitting your application, you'll complete a quick Training Assessment
Most applicants hear back within 1-2 business days
#J-18808-Ljbffr