Language Data Specialist
19 hours ago
locations
Tamil Nadu, India
time type
Full time
posted on
Posted Today
job requisition id
JR108559
Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.
Summary
We are seeking a highly detail-oriented Language Data Specialist to join our growing team. In this role, you will annotate and analyze language data to support the development of our cutting-edge AI and natural language processing products. Your keen attention to detail, analytical skills, and ability to work independently will be crucial as you help provide valuable insights and high-quality data to the research team.
This role is part of the Language Engineering team, where we contribute to the research, development, and evaluation of Genesys' core AI capabilities in Speech & Natural Language Processing. Our work spans a range of product areas aimed at empowering excellence in customer and agent experiences, including chatbots/voicebots, knowledge, and agent assistive technologies including summarization, across a wide range of languages.
Key Responsibilities:
- Accurately annotate text data following detailed guidelines to identify linguistic features and categories
- Collaborate with the research team to resolve data ambiguities and provide feedback on the annotation process
- Perform qualitative error analysis and provide actionable insights to improve quality
- Ability to learn the product suite and participate in manual testing of Conversational AI product features
- Support the creation of language datasets for model training and evaluation
- Assist the team with other ad-hoc data-related tasks as needed
Skills & Experience:
- Native or near-native proficiency in Italian, as well as English. Proficiency in French, German, Spanish, Arabic, Japanese, Korean, Dutch, or Portuguese an additional plus.
- Exceptional attention to detail, ability to work accurately and efficiently, ability to quickly learn and apply new concepts and guidelines
- Proficient with productivity software and text editors
- 1+ years of experience with language data annotation, manipulation, and analysis and familiarity with annotation tools (preferred)
- Degree in linguistics, modern languages, or related field, or equivalent experience
- Interest in conversational AI, NLP, and language technologies
LI-Hybrid
If a Genesys employee referred you, please use the link they sent you to apply.
About Genesys:
Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit
.
Reasonable Accommodations:
If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at
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Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
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