Data Annotation Expert - Fully Remote
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Data Annotation Specialist
Type:Contract
Compensation:$23–$30/hour
Commitment:20 hours/week
Role Responsibilities
- Synthesize information from large volumes of data to enhance AI model performance.
- 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 to improve data quality.
- Contribute to the improvement of AI systems through consistent annotation work.
Qualifications
Must-Have
- Ability to synthesize complex or high-volume information into structured formats.
- Strong critical reasoning, reading comprehension, and written communication skills.
- A college degree and experience with data annotation projects.
Preferred
- Prior experience applying rubrics, taxonomies, or standardized guidelines.
Application Process (Takes 20–30 mins to complete)
- Submit your resume to begin.
- Complete a Training Assessment.
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Data Annotation Specialist
Type:Contract
Compensation:$23–$30/hour
Commitment:20 hours/week
Role Responsibilities
- Synthesize information from large volumes of data to enhance AI model performance.
- 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 to improve data quality.
- Contribute to the improvement of AI systems through consistent annotation work.
Qualifications
Must-Have
- Ability to synthesize complex or high-volume information into structured formats.
- Strong critical reasoning, reading comprehension, and written communication skills.
- A college degree and experience with data annotation projects.
Preferred
- Prior experience applying rubrics, taxonomies, or standardized guidelines.
Application Process (Takes 20–30 mins to complete)
- Submit your resume to begin.
- Complete a Training Assessment.
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.