Dialpad is hiring a
Multilingual Data Specialist

Summary

Dialpad is a leading Ai-Powered Customer Intelligence Platform that transforms how businesses communicate. The company seeks a Multilingual Data Specialist to expand its Ai features, including transcription and sentiment analysis, to additional languages. In this role, the specialist will own the collection of training, testing, and development data for both ASR and NLP model development for target languages.

Requirements

• Bachelor's degree in linguistics or related work experience
• Native or advanced-level proficiency in English, German and French
• 1+ years of experience with linguistic annotation
• 0 - 3 years data analysis experience including SQL, and data cleaning & manipulation
• 0 - 3 years experience with basic python including pandas

Responsibilities

• Own the collection of training, testing and development data for both ASR and NLP model development for your target languages
• Work closely with NLP to develop sentiment models, LLMs, PII detection and more
• Design and implement annotation jobs including guidelines and job setup in Labelbox
• Effectively train and provide continuous feedback to annotators
• Ensure the quality of the data which results from your projects and directly meets the standards of the NLP & ASR teams
• Provide linguistic expertise on the different dialects of your target languages
• Pre- and post-process data using manual and automated methods
• Create high quality gold sets for annotation as well as completing other annotation tasks as needed
• Coordinate with QA Analyst to perform multilingual model testing
• Understands data privacy and security requirements and applies them as needed
• Partner closely with Applied Scientists & Ai Product Managers to get an in-depth understanding of their customer use cases and feature design
• Research the latest developments in machine learning annotation, processes and tooling to optimize our processes and data quality

Preferred Qualifications

Experience with research and scientific literature reviews

Benefits

• Flexible time off
• Great options for medical, dental, and vision plans for all employees
• Monthly stipend to help cover your cell phone bill, home internet bill
• Reimbursement for gym membership costs
• Variety of wellness events