Job Description

Murf AI is a fast-growing investor-backed AI and VoiceTech Startup with global ambition. We are at the forefront of natural language processing and voice AI technologies. We specialise in developing products used by thousands of customers worldwide for creating lifelike voiceovers. We build proprietary speech models on the back of solid linguistics work and as a dynamic and forward-thinking team, we're committed to shaping the future of speech. With a global reach spanning 150+ countries and over 4 million registered users, Murf.ai has experienced an impressive 6X revenue growth in the last 18 months. Murf Studio, our versatile tool, offers 120+ voices in 20+ languages, providing users unparalleled creative possibilities.

Role Overview

As an NLP Engineer at Murf.ai, you will play a pivotal role in the development and enhancement of NLP components integral to our products. We are seeking native speakers proficient in Arabic as part of our Voice team to work on state-of-the-art voice modelling and machine learning projects.

Key Responsibilities

Must-Haves:

• Native or Near-Native Arabic required
• Willingness to engage in hands-on data work, including annotation and transcription tasks
• Demonstrate exceptional knowledge of linguistics, including morphology, syntax, and phonetics & phonology
• Possess a deep understanding of phonetic alphabets and fundamental concepts in natural language processing (NLP) with a focus on its application in text-to-speech (TTS) technologies
• Proficient in text manipulation, lexical analysis, and data processing, with basic scripting skills, preferably in Python.
• Ability to conduct evaluations of various models and data sets, measure improvements, and document findings effectively
• Capable of writing specifications for task automation and tool development, contributing to process efficiency

Good-to-Haves

• Prior experience in a software development environment, collaborating closely with engineering teams
• Familiarity with researching resources such as data repositories and code libraries to support project requirements
• Familiarity in software issue analysis and troubleshooting quality issues in speech-related applications
• Interest in Audio (We are an AI Voice & Audio Automation Company)
• Fluency in multiple languages
• MSc/Ph.D. in a relevant field