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 the 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.

Overview of Job Function

Verint’s Data Annotator plays a critical role in the development of our machine learning models providing expertise in data labeling and annotation. The Data Annotator ensures the accuracy and effectiveness of our AI solutions. Working closely with our data scientists and engineers, this role labels and annotates large datasets, ensuring that our models are trained on high-quality data. The Data Annotator also identifies and resolves data quality issues, ensuring that our models are robust and reliable. 

Principal Duties and Essential Responsibilities:

Listen to speech & audio data and provide perceptual judgements for improvement and maintenance of Machine Learning models Ensure high quality annotation & transcription of speech and language data Handle unique data requests and tasks, with changing guidelines Contribute to workflow process improvements Annotate and label various types of data according to project guidelines and specifications Review annotated data for accuracy and completeness, making adjustments as needed Maintain organized and detailed records of annotated data and any changes made during the annotation process Communicate any issues or challenges with data annotation to project leads in a timely and professional manner Adhere to project deadlines and deliver annotated data within predetermined timelines

Minimum Requirements:

High School Diploma or equivalent education 1 year experience in a call center, customer service role, or background in psychology or linguistics Ability to work independently and communicate with individuals of diverse backgrounds Ability to work with audio content and has a passion for data, efficiency, and accuracy Strong organizational skills and attention to detail Ability to accurately and efficiently label datasets for machine learning models Ability to work in a fast-paced environment and meet tight deadlines Strong communication skills Strong problem-solving skills and ability to troubleshoot annotation challenges Knowledge of data privacy and security regulations Comfortable working with complex and large-scale datasets

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