Remote Engineering Field SME for AI Testing

Summary

Join a pioneering AI company as an AI Data Annotator with an Engineering background, labeling, categorizing, and evaluating data to train machine learning models.

Requirements

• Bachelor's Degree or higher with a major in an Engineering field
• Attention to detail: Precision is crucial, as incorrect labeling can impact the performance of machine learning models
• English proficiency: Excellent written and verbal communication skills, especially for generating content and annotating text-based data
• Self-motivation: Ability to work independently and manage time effectively in a remote work environment
• Data literacy: Experience or familiarity with handling and processing various types of data is preferred
• Technical aptitude: Comfort with basic software tools, spreadsheets, or annotation platforms is beneficial

Responsibilities

• Label, categorize, and evaluate data to train machine learning models
• Annotate objects in images
• Tag pieces of text
• Generate/evaluate multiple-choice questions to support AI models that depend on high-quality labeled data for accuracy
• Maintain a high level of attention-to-detail while completing tasks
• Complete tasks that take 10-40 minutes to complete