Job Description

Job Responsibilities:

• Develop annotation guidelines
• Work with tooling engineers to develop and debug new annotation workflows
• Extract actionable quantitative and qualitative insights from user traffic on a regular basis
• Scale these annotation processes as we expand new features, new locales and new devices
• Collaborate with other linguists to ensure weekly deliverables are met
• Work under tight timelines while overcoming occasional tooling challenges and data ingestion issues

Skills:

• Proficiency/Familiarity in Python
• Querying in SQL
• Working autonomously - demonstrated ability to run their own project  
• Experience working directly with engineering partners - supporting the building of LLMs, prompt engineering. 
• Experience auditing data - create guidelines for data  
• Knowledge of regular expressions, SQL and Python
• Excellent technical writing and communication skills both verbal and written
• Critical thinking and problem-solving abilities
• Understanding of a digital assistant’s technical stack (ASR, Understanding, Entity Recognition, etc.)
• Understanding of a digital assistant’s feature set (Weather, Reminders, Chatbot, Calling, Messaging, etc.) and how they coexist together
• Resilient to technical setbacks out of your control
• Fast learner

Education/Experience:

• Bachelor’s degree in linguistics, language technologies, computational linguistics, speech science, or related field.
• Master/PhDs would be preferred not required
• Experiencing working with AI preferred over a Masters Degree

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