📋 Job Details at a Glance 📍 Location India 🏢 Company Zensar 👥 Experience Fresher 🎓 Qualification Graduates / Students 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹50,000 per Month 🏢 Industry Non-Tech 🛠 Key Skills Data Annotation Data Labelling Attention to Detail Data Validation English Comprehension Data Annotation & Data Labelling at Zensar — Full Details & How to Apply Zensar is seeking fresh graduates for the Data Annotation & Data Labelling role, offering a competitive salary of ₹50,000 per Month . This remote position is perfect for students from the 2024-2026 batches looking to kickstart their careers in India . The demand for Data Annotation & Data Labelling jobs is surging as AI and machine learning projects expand, making this role crucial for supporting data-driven initiatives. As organizations increasingly rely on accurate data for decision-making, the need for skilled professionals in this area has never been greater. This role directly contributes to the quality of insights derived from data, positioning you at the forefront of a growing industry. What sets Zensar apart in the non-tech sector is its impressive global footprint, with over 10,000 employees across 30 countries . Founded in 1991 , Zensar has established a reputation for stability and innovation. The company’s structured onboarding process, which includes mentorship for freshers, ensures that you will receive the support needed to excel in your new role. We encourage 2024, 2025, 2026 graduates , Graduates / Students , and those with Fresher experience to apply. With a salary of ₹50,000 per Month , this position offers a fantastic entry point into the world of data management. In this role, you will develop essential skills in Data Annotation , Data Labelling , Attention to Detail , Data Validation , and English Comprehension . Gaining hands-on experience in these areas will set a strong foundation for future career opportunities in data science and analytics, opening doors to advanced roles in the tech industry. 📊 Role Difficulty: Low | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated non-tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Data Annotation & Data Labelling role at Zensar is to ensure high-quality data outputs that support AI/ML projects through meticulous annotation and validation processes. Annotate and label data accurately using predefined project guidelines to ensure high-quality outputs for AI/ML projects, leveraging Data Annotation skills. Utilize Attention to Detail to validate data integrity and ensure compliance with project specifications, directly impacting project success. Collaborate with data scientists and project managers to align on data requirements and project timelines, enhancing overall project efficiency. Monitor and report on data quality metrics, aiming for a data quality score of 95 or higher, utilizing Data Validation techniques. Take initiative in identifying and resolving discrepancies in data sets to enhance overall project outcomes, showcasing problem-solving capabilities. Document processes and findings to maintain clear communication with team members and stakeholders, ensuring transparency in project workflows. Assist in troubleshooting data-related issues, providing support to clients as needed, demonstrating a commitment to service excellence. Ownership of data quality and accuracy directly impacts project outcomes, fostering a culture of accountability and continuous improvement within the team. Required Skills & Technical Competencies The skill profile for this role emphasizes precision and technical proficiency in data handling, essential for delivering high-quality results in AI/ML projects. Technical Skills Data Annotation — entry — essential for accurately labeling data, requiring a strong understanding of project guidelines and attention to detail. Data Labelling — entry — practical application involves tagging data sets for machine learning models, crucial for project success. Attention to Detail — entry — used daily to ensure data accuracy, directly impacting the quality of AI/ML outcomes. Data Validation — entry — involves checking data against predefined standards, ensuring high-quality deliverables. English Comprehension — entry — necessary for understanding project documentation and communicating effectively with team members. When showcasing these technical skills in your resume or interview, emphasize specific examples of how you have applied them in practical scenarios. Eligibility Criteria This role is designed for recent graduates and students eager to gain hands-on experience in data annotation and labelling. Graduates from any stream are accepted, focusing on skills rather than specific academic backgrounds. Students from the 2024 , 2025 , and 2026 batches are eligible, allowing freshers to gain early career experience. No prior experience is required, making this role ideal for fresh graduates looking to enter the workforce. A minimum academic performance of 50% is preferred, ensuring candidates have a solid educational foundation. Having a portfolio or relevant internship experience in data-related tasks can provide an advantage in the selection process. Documentation & Portfolio Requirements Ensure your resume is clear and concise, including relevant skills, educational background, and any data-related projects or internships. Pro tip: Highlight any specific data annotation or labelling projects in your portfolio to demonstrate your practical experience and understanding of the role. Salary for Data Annotation & Data Labelling at Zensar 💰 Compensation ₹50,000 per Month The advertised compensation for the Data Annotation & Data Labelling role at Zensar is ₹50,000 per Month . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Annotation & Data Labelling Upskilling with the right resources significantly enhances your chances of selection for this specific role. Recommended Courses & Resources MS Office — Essential for managing data and documentation effectively. Communication Skills — Crucial for clear documentation and collaboration in data projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume to highlight relevant skills for data annotation — fix by customizing each application. ❌ Neglecting to proofread for grammatical errors — fix by reviewing thoroughly. ❌ Overlooking the importance of attention to detail in previous roles — fix by providing specific examples. ❌ Not demonstrating an understanding of data quality metrics — fix by researching and mentioning relevant metrics. ❌ Including excessive personal information that does not pertain to the job — fix by focusing on professional qualifications. ❌ Ignoring the application deadline — fix by setting reminders to apply early. Before You Apply — Checklist ✅ Research Zensar 's recent projects and initiatives to tailor your application. ✅ Prepare a resume that highlights relevant skills and experiences. ✅ Gather any necessary documents, such as transcripts or certificates. ✅ Complete the application form accurately, ensuring all fields are filled. ✅ Double-check your resume for formatting and spelling errors. ✅ Submit your application before the deadline to avoid last-minute issues. ✅ Follow up on your application status after submission. ✅ Prepare for potential interviews by reviewing common questions related to data annotation. Resume Tailoring & ATS Keywords for Data Annotation & Data Labelling Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Data Annotation Data Labelling Attention to Detail Data Validation English Comprehension Basic Computer Skills Remote Work Project Guidelines Data Quality Score Collaboration Troubleshooting Documentation Resume Tips for This Role Highlight any relevant coursework or projects related to data management or analysis. Emphasize attention to detail and accuracy in previous experiences or academic work. Include any internships or practical experiences that demonstrate your skills in data annotation or labelling. Optimize your resume for ATS by including keywords from the job description. Avoid including irrelevant work experience that does not relate to data annotation or labelling. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including personal hobbies or unrelated experiences that do not enhance your qualifications for this role. How to Apply for Data Annotation & Data Labelling at Zensar Apply Now — Zensar Visit the application portal using the provided link. Upload your resume in PDF format for best results. Fill out the application form with accurate personal and educational details. After submission, expect a confirmation email regarding your application status. Track your application by following up through the provided contact details. Applications reviewed on rolling basis — early submission recommended. Apply Now — Zensar NexisGrow.com does not charge any fees for job applications. Zensar Zensar was founded in 1991 and is headquartered in Pune, India . With a global footprint spanning 30 countries , the company employs over 10,000 professionals . This extensive reach enables Zensar to deliver tailored solutions across various markets, enhancing its reputation as a key player in the industry. Specializing in digital transformation services, Zensar offers a range of products including cloud solutions , AI , and data analytics . These services cater to diverse industries, allowing Zensar to address specific client needs effectively. The integration of advanced technologies positions the company as a leader in delivering innovative solutions. Zensar has cultivated an employee-friendly culture, earning high ratings on Glassdoor for work-life balance and career development opportunities. The company actively promotes various employee programs, contributing to its recognition as a great workplace. Such accolades reflect Zensar 's dedication to fostering a supportive environment for its workforce. Recently, Zensar announced a strategic partnership with a leading AI firm, aimed at enhancing its data analytics capabilities. This initiative underscores the company's commitment to innovation and staying ahead in the rapidly evolving tech landscape. Such developments highlight Zensar 's proactive approach to leveraging technology for growth. For freshers in the Non-Tech sector, Zensar serves as a robust launchpad, offering exposure to cutting-edge technologies and a clear pathway for career advancement. The company's focus on employee development and innovative projects provides newcomers with valuable experience and opportunities to grow within the industry. Company Details Industry Non-Tech Location India Connect With Us Careers Apply Now Website 🔗 forms.cloud.microsoft Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Annotation & Data Labelling at Zensar? Eligibility Tap to expand + Answer Candidates with Graduates / Students and Fresher experience are eligible. Eligible batches: 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Data Annotation, Data Labelling, Attention to Detail, Data Validation, English Comprehension. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹50,000 per Month. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Zensar? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Data Annotation, Data Labelling, Attention to Detail, Data Validation, English Comprehension. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Data Annotation & Data Labelling interview? Preparation Tap to expand + Answer (1) Core concepts of Data Annotation, Data Labelling, Attention to Detail, Data Validation, English Comprehension, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Zensar research, (5) Clear communication. ? What is the work culture like at Zensar? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in India Browse all Non-Tech jobs Latest Fresher jobs More jobs at Zensar Work From Home jobs 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. 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