Language Data Annotator (Fixed Term 6 months) - English and Malay
- Other
- Other places
- 06/28/2024
- -
Join Genesys and Transform Customer Experience
At Genesys, we empower over 8,000 organizations across more than 100 countries to enhance customer and employee experiences, driving loyalty and business success. Our Genesys Cloud, the leading AI-powered experience orchestration platform, enables organizations of all sizes to deliver personalized, empathetic experiences at scale. By leveraging our trusted, all-in-one cloud solution, Genesys Cloud accelerates growth and helps businesses differentiate through optimal customer experiences delivered at the right moment.
With a global workforce of over 6,000 employees, we cultivate a culture of empathy and collaboration. While we offer attractive benefits and perks akin to larger tech firms, our employees enjoy the autonomy to make significant contributions and take ownership of their work. Join us and create the future of customer experience together.
Position: Language Data Annotator (Full-time, Fixed-Term 6 months)
Start Date: ASAP
Location: India
We are in search of a meticulous Language Data Annotator to join our team. You will be responsible for annotating and analyzing language data to support the development of our cutting-edge AI and natural language processing products. Your attention to detail, analytical skills, and ability to work independently will be essential in delivering high-quality data and insights to the research team.
This role is a key part of the Radarr ML engineering team, focusing on language detection and sentiment analysis across a variety of public social channels and languages.
#LI-Hybrid #LI-IS2
If you were referred by a Genesys employee, please use the link they provided to apply.
Genesys orchestrates billions of memorable customer experiences annually for organizations in over 100 countries. Leveraging our cloud, digital, and AI technologies, we realize our vision of "Experience as a Service™," enabling organizations to deliver proactive, predictive, and hyper-personalized experiences that strengthen customer connections across all interactions. We enhance employee productivity and engagement, transforming back-office technology into a modern revenue velocity engine, fostering true intimacy at scale to build customer trust and loyalty.
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