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Data Annotator at VERINT SYSTEMS SINGAPORE PTE LTD

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

29 Jul, 26

Salary

0.0

Posted On

30 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data annotation, Speech labeling, Text labeling, Audio labeling, Machine learning, Data accuracy, Entity tagging, NER, Audio transcription, Sentiment tagging, Doccano, Label Studio, ELAN, Generative AI, LLMs, Quality assurance

Industry

Software Development

Description

At Verint, we believe customer engagement is the core of every global brand. Our mission is to help organizations elevate Customer Experience (CX) and increase workforce productivity by delivering CX Automation. We hire innovators with passion, creativity, and drive to answer constantly shifting market challenges and deliver impactful results for our customers. Our commitment to attracting and retaining a talented, diverse, and engaged team creates a collaborative environment that openly celebrates all cultures and affords personal and professional growth opportunities. Learn more at www.verint.com [https://eur01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.verint.com%2F&data=05%7C02%7CSara.Tomblin%40verint.com%7C58f60150766c4d20f96608dc0e06b0e6%7Cbb2ed304409949cfb081cbb7a3a580ca%7C0%7C0%7C638400669090094203%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=c3jB8EQ6XTVvPxgslGFMb8fCtoj%2F37cFStaLyjCS9os%3D&reserved=0]. The Data Annotator is responsible for producing high‑quality labeled speech, text, and audio data used in machine learning training, evaluation, and human‑in‑the‑loop review workflows. This role applies consistent perceptual judgment while adhering to evolving annotation guidelines, ensuring data accuracy, reliability, and scalability across research and production use cases.

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Responsibilities

The Data Annotator is responsible for producing high-quality labeled speech, text, and audio data to support machine learning training and evaluation. This role involves applying consistent perceptual judgment while adhering to evolving guidelines to ensure data reliability and scalability.