Crossing Hurdles is looking to solve the problem of building and training cutting-edge AI models by connecting top candidates with leading AI research labs
Requirements
- Strong ability to organize and structure complex or large datasets.
- Experience with rubrics, taxonomies, or standardized annotation guidelines is preferred but not mandatory.
Responsibilities
- Synthesize and interpret large volumes of diverse data.
- Annotate and categorize text, images, and other data types according to predefined detailed guidelines and taxonomies.
- Apply rubrics and standardization protocols to ensure consistent and high-quality output.
- Identify and flag inconsistencies, ambiguities, or errors within datasets.
- Contribute directly to the enhancement and refinement of AI systems.
Other
- Excellent written communication skills.
- Detail-oriented and able to work independently in a fully remote, asynchronous environment.
- Approximately 20 hours/week (flexible, asynchronous) commitment
- Submit your resume for consideration.
- Complete the Preference Selection Calibration Assessment as part of candidate calibration.
