Linguist II

About Ascendion

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for world's leading brands
• Solve complex problems - and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands-on experience

Experience a community of change makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role:

• We are looking for a Linguist to help us develop language components for a variety of voice-enabled technologies and products.
• We are seeking candidates with strong linguistic data analysis and language technology experience to manage data collection, data synthesis and data annotation tasks, and Machine Learning model improvements.

Job Title:Linguist II

Key Responsibilities:

• Provide linguistic expertise in the areas of syntax, semantics, pragmatics and sociolinguistics
• Collaborate with other linguists and data operations teams in data collection, data curation, and annotation efforts
• Enhance model performance through Prompt Engineering
• Create annotation systems and guidelines
• Evaluate and curate data sets for machine learning models
• Assess model and data quality
• Collaboratively develop complex and consistent linguistic analyses.

Minimum Qualifications:

• Master's degree in general Linguistics or Linguistics with an emphasis on Computational Linguistics, Speech Science, or related field
• Knowledge of syntax, semantics, pragmatics, sociolinguistics, corpus linguistics, and other areas of linguistics
• Experience working with speech and text data in multiple languages
• Familiar with Large Language Models (LLMs) and their applications
• Familiar with Prompt Engineering
• Comfortable working in a fast paced, highly collaborative, dynamic work environment
• Strong organizational skills and detail oriented
• Excellent communication skills both verbal and written

Preferred Qualifications:

• PhD in Linguistics, language technologies, computational linguistics, speech science, or related field
• Experience with database queries and data analysis processes (i.e. SQL, spreadsheets, R, Unix, or others)
• Proficiency in Python
• Experience with machine learning frameworks, NLP Libraries and Tools

Location: Remote

Salary Range: The salary for this position is between $62,400 - $93,600 annually. Factors which may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System]

Want to change the world? Let us know.

Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!