At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 6,000 people across the globe who think that’s work worth doing.

Language Data Specialist

Why We Have This Role

State-of-the-art ML-driven natural language processing (NLP) tools rely on high-quality language data. The Language Engineering team delivers language data annotation, model output evaluation, and language consulting to support AI/ML research and development across Qualtrics.

How You’ll Find Success

As a Language Data Specialist, you’re proficient in designing and executing workflows for data annotation and model output evaluation. You’re skilled at collaborating across teams. You’re confident leading a team of annotators to complete projects accurately and efficiently. You know how to apply the right strategies for ensuring and measuring annotation quality. You’re comfortable multitasking across multiple projects in a fast-paced, dynamic work environment. You have expertise in one or more languages in addition to English, and you can help our partners understand the special challenges and considerations for your language. 

How You’ll Grow

On the LE team, you’ll gain experience with a wide variety of different projects, and you’ll learn to design, manage, and deliver projects end-to-end. You’ll have the opportunity to work with new AI/ML technologies and contribute to products our customers will love. 

Things You’ll Do

• Work with applied scientists and other partners to define project requirements and design tasks in language data annotation, model output evaluation, and related areas
• Coordinate with teammates to set up and manage tasks in annotation tools
• Create and maintain project guidelines
• Onboard and supervise data annotators across multiple languages
• Measure, monitor, troubleshoot, and improve annotation quality
• Perform annotation, evaluation, and review tasks and consult on special issues for your language(s)
• Help define team-wide best practices for annotation, annotation QA, and project management

What We’re Looking For On Your Resume

• 1-3 years of relevant experience
• Bachelor’s degree or above in linguistics, computer science, data science, or another related field
• Fluent spoken and written English
• Native or near-native fluency in at least one language besides English (preferred: Dutch, French, German, Italian, Korean, Portuguese, Spanish)
• Experience working in data annotation or closely related areas 
• Strong understanding of data annotation processes and metrics
• Familiarity with Machine Learning and Natural Language Processing
• Excellent skills in organization, project management, and stakeholder communication
• Strong analytical, problem-solving, and critical-thinking skills
• Team player with exceptional interpersonal skills and a solution-oriented attitude
• Hard-working self-starter capable of concurrently running multiple projects in a dynamic environment
• Detail-orientation with an ability to prioritize and meet deadlines
• Basic scripting (e.g. Python) and data analysis skills (e.g. SQL) 

What You Should Know About This Team

The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines. This team builds core machine learning infrastructure and services. Language Engineering (LE) delivers the language data needed to power this research. 

Our Team’s Favorite Perks and Benefits

• $1800 Experience bonus to be used for an “Experience” of your choosing
• Unlimited Sick Days
• Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.

Location Preference: Seattle, WA or Reston, VA

The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.

Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

​​​​​​​Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection Act

Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.

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For full-time positions, this pay range is for base per year; however, base pay offered may vary depending on location, job-related knowledge, education, skills, and experience. For part-time or intern positions, this pay range is for base pay per hour. A sign-on bonus and restricted stock units may be included in an employment offer, in addition to a range of medical, financial, and other benefits, based on eligibility criteria.