📋 Job Details at a Glance 📍 Location Bangalore, Karnataka 🏢 Company Verint 👥 Experience 2+ Years 🎓 Qualification Bachelor’s degree in Computer Science, Linguistics, or Data Science 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Doccano Label Studio ELAN Text classification Sentiment analysis Audio segmentation Data Annotator at Verint — Full Details & How to Apply Verint is seeking a skilled Data Annotator to join their innovative team in Bangalore, Karnataka . This role offers a unique opportunity to contribute to cutting-edge technology projects while advancing your career in data science. As the demand for high-quality data input grows in the AI landscape, the role of a Data Annotator has never been more critical. In today's rapidly evolving tech landscape, the role of a Data Annotator is essential for enhancing machine learning models. With the increasing reliance on AI systems, ensuring high-quality data input is paramount. This position not only influences the accuracy of data interpretation but also directly impacts product development and user experience. As organizations strive to leverage data for competitive advantage, the need for proficient Data Annotators is on the rise, making this an opportune time to enter the field. Verint stands out as a leader in technology solutions, fostering a culture of innovation and collaboration that empowers employees to excel in their roles. With a commitment to employee development and a focus on cutting-edge projects, Verint provides an environment where your contributions as a Data Annotator will be valued. The company is known for its robust training programs and internal promotion policies, ensuring that you can grow your career while working on impactful projects. This opportunity is ideal for both freshers and candidates with up to 2 years of experience . Candidates must hold a Bachelor’s degree in Computer Science, Linguistics, or Data Science and belong to the 2023, 2024, 2025, and 2026 graduating classes. If you have a passion for data annotation and a desire to deepen your expertise in machine learning, this role could be the perfect fit for you. As a Data Annotator at Verint , you will gain invaluable experience in key areas such as text classification , sentiment analysis , and audio segmentation . You will also become proficient in using tools like Doccano , Label Studio , and ELAN . This role will not only enhance your technical skills but also provide you with insights into cloud architecture , production-grade Java development , and Agile workflows , positioning you for rapid career advancement in the tech industry. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. If you're ready to take the next step in your career, don't miss out on this chance to apply online and join a leading organization like Verint as a Data Annotator . Job Role & Responsibilities As a Data Annotator at Verint , you will play a crucial role in enhancing machine learning applications by ensuring the accuracy and quality of annotated datasets. This position is integral to the data pipeline, directly influencing the performance of AI models through meticulous data categorization and analysis. Annotate and categorize data using tools like Doccano and Label Studio to ensure high-quality datasets for machine learning applications. Utilize ELAN for audio segmentation tasks, ensuring precise labeling for audio data in various projects. Collaborate with data scientists and product teams to understand annotation requirements and deliver insights that drive project success. Monitor and evaluate annotation quality metrics, providing feedback to improve processes and outcomes. Take ownership of specific annotation projects, demonstrating initiative and a commitment to continuous learning in data science. Document annotation guidelines and processes clearly, ensuring consistency and transparency across the team. Identify and solve annotation-related challenges, proposing innovative solutions to enhance efficiency and accuracy. Participate in regular team meetings to discuss project progress and share best practices for data annotation. This role fosters an ownership culture, empowering you to make impactful contributions that enhance the overall quality of data used in machine learning projects at Verint . Required Skills & Technical Competencies The ideal candidate for the Data Annotator position at Verint should possess a diverse skill set that combines technical proficiency with analytical capabilities. This blend is essential for producing high-quality annotations that directly influence machine learning outcomes. Technical Skills Doccano — proficiency required for efficient text annotation and categorization tasks. Label Studio — essential for managing and streamlining data annotation workflows. ELAN — intermediate knowledge needed for effective audio segmentation and labeling. Text classification — crucial for organizing data into meaningful categories that enhance model training. Sentiment analysis — experience required to evaluate and categorize emotional tone in textual data. Audio segmentation — familiarity necessary for handling diverse audio data types effectively. Soft Skills & Professional Competencies Attention to detail — critical for ensuring accuracy in data labeling and interpretation. Analytical skills — ability to assess data quality metrics and provide actionable feedback. Collaboration — essential for working effectively with cross-functional teams. Time management — necessary for meeting project deadlines and managing multiple annotation tasks. Good to Have (Bonus) Python — familiarity with scripting for automating annotation processes is a plus. Machine learning concepts — understanding of basic principles can enhance your contributions. Data visualization tools — experience with tools like Tableau or Power BI can be beneficial. To effectively showcase these skills in your resume or during an interview for the Data Annotator role, emphasize relevant projects, tools used, and specific outcomes achieved in previous experiences. Eligibility Criteria This role is designed for candidates who are eager to kickstart their careers in data science and annotation. Ideal applicants will have a solid educational background and relevant skills to thrive in a fast-paced environment at Verint . Candidates must hold a Bachelor’s degree in Computer Science , Linguistics , or Data Science . Eligible batches include 2023, 2024, 2025, and 2026 graduates. A minimum CGPA of 7.0 is preferred, reflecting a strong academic background. Prior internship or hands-on project experience in data annotation is a strong advantage. Strong analytical skills and attention to detail are necessary for this role. Experience with relevant tools like Doccano and Label Studio is highly desirable. Documentation & Portfolio Requirements Prepare a concise resume highlighting your educational qualifications, relevant skills, and any projects or internships related to data annotation. A portfolio showcasing your work, including any certifications in data science or annotation tools, will significantly enhance your application. Pro Tip: Tailor your application to emphasize specific experiences with data annotation tools and techniques to improve your chances of success in securing the Data Annotator role at Verint . Salary & Benefits 💰 Compensation Not Disclosed The compensation philosophy at Verint emphasizes offering a competitive salary that aligns with industry standards for technology roles. While specific salary details are not disclosed, employees can expect a package that reflects their skills and contributions, ensuring that their hard work is recognized and rewarded. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — contributions to Provident Fund and optional pension schemes Paid Time Off — generous vacation policy including sick leave and public holidays Flexible Work Hours — options for remote work and adaptable schedules to promote work-life balance Learning & Development Programs — access to training, certifications, and mentorship opportunities Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Meal Allowance — daily meal vouchers to enhance employee satisfaction Transportation Support — assistance with commuting costs for employees Performance-Based Bonuses — additional financial rewards based on individual and company performance Employee Wellness Programs — initiatives to support mental and physical health Career Progression & Salary Growth At Verint , employees can expect structured appraisal cycles typically occurring bi-annually, with raise percentages averaging around 10-15% based on performance. Promotion timelines are clearly defined, allowing for rapid career advancement and opportunities for internal mobility, ensuring that employees can grow within the organization. NexisGrow.com tip: When negotiating your salary, research industry standards and be prepared to discuss your unique skills and contributions that justify your desired compensation. Selection Process The hiring philosophy at Verint focuses on identifying candidates who not only possess the required technical skills but also align with the company’s collaborative culture. The selection process is designed to ensure a thorough evaluation of each candidate's qualifications and fit for the Data Annotator role. 1 Round 1: Initial Screening — review of applications to assess qualifications and relevant experience for the Data Annotator role. 2 Round 2: Technical Interview — focused on data annotation skills and familiarity with tools like Doccano and ELAN . 3 Round 3: Behavioral Interview — evaluates cultural fit and teamwork capabilities within Verint 's collaborative environment. 4 Final Stage: Background Check — verification of credentials and an offer presentation detailing compensation and benefits. What Each Round Tests Round 1 assesses basic qualifications and relevant experience. Round 2 tests technical skills specific to data annotation tools, while Round 3 focuses on soft skills and cultural fit. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication regarding their application status and next steps throughout the process. Interview Prep Tip: Familiarize yourself with Verint 's products and values, as cultural alignment is a key focus during interviews. How to Apply for Data Annotator at Verint Apply Now — Verint Step 1: Click the Apply button or visit the official career link provided to access the application portal. Step 2: Fill in your profile and upload your resume, highlighting relevant skills and experiences that align with the Data Annotator job description. Step 3: Expect a confirmation email outlining the next steps in the screening process, including potential timelines. Step 4: Prepare for interviews by reviewing common questions and practicing your responses. Step 5: Track your application status through the portal for updates. Resume & Profile Tips for This Role Highlight Relevant Experience — emphasize your work with data annotation tools such as Doccano or ELAN . Showcase Technical Skills — include proficiency in Python or other relevant programming languages. Detail Projects — describe any hands-on projects or internships related to data annotation. Emphasize Soft Skills — communicate your problem-solving and communication skills effectively. Important note: Applications are reviewed on a rolling basis, so early submission is encouraged to enhance your chances. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Data Annotator role at Verint? Eligibility Tap to expand + Answer Candidates must have a Bachelor's degree in Computer Science, Linguistics, or Data Science, with eligibility for batches 2023-2026. Both freshers and those with 2+ years of experience are welcome. ? What is the interview process for Data Annotator at Verint? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focusing on relevant skills, and a behavioral interview to assess cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with Doccano, Label Studio, ELAN, and other tools for text classification and audio segmentation. ? What is the salary and compensation for this role? Salary Tap to expand + Answer Salary details are not disclosed, but competitive compensation is expected, along with opportunities for performance-based bonuses. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer The role is primarily onsite in Bangalore, with potential flexibility for hybrid work arrangements. ? What is the career growth path after joining Verint as a Data Annotator? Growth Tap to expand + Answer Career growth includes opportunities for promotions within 6-12 months and potential roles in data science or project management within 2-3 years. ? How should I prepare for the Data Annotator interview at Verint? Preparation Tap to expand + Answer Focus on your experience with data annotation tools, review common technical questions, and prepare examples of past projects. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply via the provided link, ensuring your resume highlights relevant skills and experiences in data annotation. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Typically, there is a probation period of 3-6 months, focusing on performance evaluation and integration into the team. ? What is the work culture like at Verint? Culture Tap to expand + Answer Verint fosters a collaborative and inclusive work culture, emphasizing continuous learning, teamwork, and employee well-being. Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com