What are the responsibilities and job description for the Data Annotator position at Verint Systems?
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, deadlines 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
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 25 hours a week
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
Strong communication skills, problem-solving skills and ability to troubleshoot annotation challenges
Knowledge of data privacy and security regulations
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Verint Systems Inc. is committed to maintaining a workplace free from discrimination, retaliation, and sexual and any other form of harassment. Verint has a zero-tolerance policy against any form of discrimination, retaliation, or harassment including sexual harassment or any other form of harassment, based on one’s race (including but not limited to natural hair, hair texture, hair type and protective hairstyles), color, religion, national origin, or sex, pregnancy (including childbirth and medical conditions related to pregnancy, childbirth or breastfeeding), sex stereotyping, (including assumptions about a person’s behavior or appearance, gender roles, gender identity, gender expression including gender dysphoria, or transgender status), disability, alienage or citizenship or immigration status, marital status, creed, genetic information, predisposition or carrier status, sexual orientation, military or Veteran status, political affiliation, familial status, caregiver status, status as a victim of domestic violence, unemployment status, natural hairstyles, sexual and other reproductive health decision-making, or any other classification or characteristic protected by applicable federal, state or local laws (collectively, “Protected Characteristics”), will not be tolerated. This policy applies to all terms and conditions of employment including but not limited to hiring, placement, promotion, compensation, training, leave of absence or termination.
For US Applicants
2025 Benefits Offering ( 2025 Benefits)_
