AI Prompt & Language Specialist (ITALIAN)

Position Overview

• Location Type: Remote
• Job Type: [Employment Type - Not specified in the text]
• Salary: Not specified

Role Overview: The candidate will be working with, testing, and training AI, responsible for building linguistic content that enables the client’s content moderation solutions to detect and classify a wide variety of online harms with cultural context.

Requirements

• Language Proficiency: Native level fluency in Italian.
• Cultural Understanding: In-depth understanding of the cultural specificities that govern the usage of the Italian language.
• Autonomy & Time Management: Capable of following and executing deliverables according to a plan autonomously and on constrained timelines.
• Documentation: Capable of documenting pertinent cultural information into a knowledge repository.
• Research Skills: Enjoy research-related tasks.
• Communication Skills: Capable of presenting observations and information in a digestible format (reports, presentations, documents).
• Technical Skills:
  • Native speaker of required language (Italian)
  • Excellent written & spoken English (required for communication with clients and team members outside Quebec).
• Computer Literacy: Proficiency in Microsoft Office Suite and Google Suite.
• Behavioral Skills:
  • Communicative and outgoing, enjoys sharing ideas.
  • Enjoys working in a team while maintaining autonomy and driving own work.

Responsibilities

• Maintenance and Future Development:
  • Building and maintaining expertise in tools.
  • Ensuring accurate and context-based classification of words/phrases based on a defined taxonomy of online harms.
  • Reviewing chat data to ensure accurate classification and address misclassifications.
  • Analyzing data for trends and creating classification improvement plans.
  • Identifying and adding vocabulary based on client requests, global issues, current events, and other trends.
  • Collaborating with the Client Success team to answer client questions and assist in tackling problems.
  • Participating in developing new and better ways of detecting content intended to circumvent content moderation.
• AI Data Generation:
  • Curating and building datasets for evaluating and testing models and/or prompt effectiveness.
  • Labeling or analyzing data for data scientists to assist in training AI.
  • Red-teaming testing for potential harms in new AI features.
  • Evaluating response and reporting results.
  • Working with internal teams to refine policy input for AI.
  • Contributing native language prompts to red-teaming library for future use.
• Quality Audits:
  • Label audit data provided.
  • Reporting results, identifying areas of weakness, and recommending improvements.
• Product Support:
  • Support product testing when needed.
  • Identify and report product outages.

Application Instructions

• [Application instructions are not provided in the text.]

Company Information

• [Company information is not provided in the text.]