Data Annotators: Paid Dataset Labeling for Machine Learning

We're hiring data annotators to build structured knowledge graphs for machine learning training. This paid study focuses on named entity and relationship extraction across various text datasets. Your work directly feeds into improving how artificial intelligence systems understand complex contextual information.

You will complete an asynchronous desktop task that involves reviewing text and applying specific labels. The session will take 30-45 minutes to complete from your own computer. You will identify key entities and define the relationships between them using a specialized labeling interface. The entire process requires careful reading and accurate classification based on our provided guidelines.

We are seeking individuals with a hands-on background in text classification, content moderation, or data tagging. We welcome professional data labelers, quality assurance reviewers, and AI training specialists who are comfortable using specialized annotation interfaces. Fluent English comprehension is required to accurately parse and categorize the provided information.

• Review provided text datasets for specific named entities
• Classify relationships between identified entities based on provided guidelines
• Navigate a specialized desktop labeling tool to record your annotations
• Complete 30-45 minutes of detailed text analysis and classification

• Hands-on background in text classification or content moderation
• Familiarity with specialized data tagging interfaces
• Strong English reading comprehension for complex context
• Access to a reliable desktop computer for the duration of the work

• You will be engaged as an independent contractor.
• This is a fully remote opportunity that can be completed on your own schedule.
• Opportunities can be extended, shortened, or concluded early depending on needs and performance.
• Your participation will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are processed weekly based on services rendered.
• We are unable to support H1-B or STEM OPT candidates at this time.