Zensar GEN AI Freshers Hiring 2025 | Annotation, Labeling & Prompt Engineering | 3–6 LPA

Zensar GEN AI Freshers Opportunity – Annotation, Labeling & Prompt Engineering (3–6 LPA)

About Zensar & this GEN AI role

Zensar Technologies is a digital solutions and technology services company under the $4.4B RPG Group, partnering with global clients across AI, cloud, data and automation to drive digital transformation. Headquartered in Pune with offices across India, Mexico, South Africa, the UK and the USA, Zensar is now hiring fresh graduates for full‑time roles in a Generative AI (GEN AI) environment focused on annotation, data labeling and prompt engineering.​

Role overview – what this GEN AI work involves

Freshers selected for this GEN AI opportunity will work on multiple AI projects where the core tasks revolve around data collection, data labeling, annotation and prompt design for AI models. This work helps train and fine‑tune AI/Gen AI systems so they can understand inputs better and generate more accurate, human‑like responses, making it a strong entry point into the AI ecosystem even for candidates without heavy coding backgrounds.​​

Typical responsibilities as described across job posts include:

• Annotating and labeling text, audio, image or video data to create high‑quality training datasets for AI and machine learning models.​

• Designing, testing and refining prompts to improve model outputs for different use cases, domains and client scenarios.​​

• Supporting data collection, research and quality checks to ensure labeled data is accurate, consistent and aligned with project guidelines.​

• Using internal tools, spreadsheets and basic AI/annotation platforms to manage large volumes of data, track work and report progress.​

Work mode may be work‑from‑office or work‑from‑home depending on project allocation and final interview outcome, which is communicated during the assessment process.​

CTC, experience & job type

• CTC Range: ₹3–6 LPA for freshers, based on evaluation, performance in interviews and allocation to specific GEN AI projects.​

• Experience: Minimum required experience is 0 years; this is clearly a fresher/entry‑level role designed for graduates just starting their careers.​

• Job Type: Full‑time position supporting next‑generation AI annotation, labeling and prompt engineering initiatives at Zensar.​

Higher CTC within the 3–6 LPA band is typically linked to stronger communication skills, relevant exposure and project fit as per third‑party and YouTube explainers.​​

Eligibility & qualifications

Zensar is open to fresh graduates with a broad educational background, as long as they meet the form‑level criteria and are ready to work in AI‑driven data roles:​

• Qualification: Bachelor’s or Master’s degree (exact accepted disciplines are listed in the official Microsoft Forms application – examples from explainers include BE/B.Tech, BSc, BCA, MCA, MSc and other degrees, as long as they fit the form’s “stream” list).​

• Batch: Multiple sources mention this as a mass fresher hiring suitable for 2024–2025 batches, with many posts focusing on the 2024 and 2025 freshers drive.​​

• Skills:

  • Strong written and verbal communication in English (good fluency and a clear accent are highlighted as important).​

  • High attention to detail and the ability to follow detailed annotation/labeling guidelines consistently.​

  • Willingness to learn new tools and technologies related to AI data pipelines, annotation platforms and prompt creation.​

  • Ability to work independently and as part of a team on repetitive yet critical data tasks.

The key expectation is not deep coding, but clarity, accuracy, curiosity and the ability to handle data carefully and consistently in an AI environment.

Application form details & fields you must fill

For this GEN AI fresher drive, Zensar is collecting applications via an official Microsoft Forms link shared in job posts (for example https://forms.office.com/r/jix0GgmipL or related variants). The form does not auto‑capture your information, so you must manually provide all required details, typically including:​

• Full Name

• Email ID

• Mobile Number

• Gender

• Current State (Location)

• Current City

• 10th Percentage

• 12th / Diploma Percentage

• Graduation/Engineering Specialization (choose the closest stream if exact match not available)

• Graduation Percentage

• Year of Passing (UG/PG)

• Current Organization (write “NA” if you are not working)

• Joining time after selection (for example, 0–60 days)

• Source (LinkedIn, Naukri, Monster, Social Media, Training Institute, College, Consultancy etc.)

These fields are used by the Zensar Talent Acquisition team to shortlist candidates for assessments and interviews.​

About Zensar & growth in GEN AI

Zensar describes itself as an “experience‑led everything” technology consulting and services company that blends technology, creativity and insight to deliver impact for global clients. Part of the RPG Group, it has 10,000+ employees across more than 30 locations worldwide, including major hubs in Pune, Bangalore, Hyderabad, Cape Town, London, Singapore, Mexico City, Seattle and Princeton.​

The GEN AI annotation/labeling/prompt roles sit within this broader digital and AI strategy, giving freshers exposure to:

• Real production AI projects in sectors like retail, BFSI, hi‑tech and more.

• Practical understanding of how generative AI systems use structured, well‑labeled data to improve outputs.

• A potential pathway to grow into more advanced AI, data, QA or product roles over time, once you build domain and process expertise.​

Job overview – quick table

How to apply for Zensar GEN AI fresher roles

1. Open the official GEN AI application form:
   Use the Microsoft Forms link shared by Zensar TA (for example https://forms.office.com/r/jix0GgmipL or https://forms.office.com/r/quzsmZNKNZ as seen in job posts).​

2. Read the instructions carefully:
   Confirm the CTC range (3–6 LPA), fresher eligibility, and that the work relates to GEN AI annotation, labeling and prompt engineering.​

3. Fill all required details:
   Enter accurate educational percentages, year of passing, contact details, location and notice period, and ensure your stream/specialization matches the closest option in the form.​

4. Submit and track:
   Submit the form and keep an eye on your email and phone for communication from the Zensar Talent Acquisition team about tests, group discussions or interviews.

NOTE: Act fast! GEN AI fresher drives with a clear CTC range and PAN‑India eligibility often get a high volume of applications, and forms may close or stop accepting responses once the required number of candidates is reached. Apply as soon as your details are ready.

​Apply Link – Zensar