Data Quality Annotator

@ Crossing Hurdles

About Data Quality Annotator

Crossing Hurdles is a recruitment firm connecting top candidates with leading AI research labs to build and train cutting-edge AI models.

Role Responsibilities

As a Data Quality Annotator, you will:

• Synthesize information from large volumes of data and organize it into structured formats.
• Annotate and categorize text, images, and other data according to detailed guidelines.
• Apply predefined rubrics and taxonomies to ensure high-quality, consistent outputs.
• Flag inconsistencies, ambiguities, or errors in datasets.
• Directly contribute to the improvement and accuracy of AI systems.

Requirements

Candidates should have the ability to synthesize complex or high-volume information into structured formats, excellent written communication skills, and preferably prior experience applying rubrics, taxonomies, or standardized guidelines.

Application Process

The process takes 20 minutes and involves:

• Uploading your resume.
• Completing an AI interview based on your resume (15 min).
• Submitting a form.

Key skills/competency

• Data Synthesis
• Annotation
• Categorization
• Rubrics
• Taxonomies
• Quality Assurance
• AI Systems
• Attention to Detail
• Data Organization
• Communication