Zensar Freshers Hiring – Gen AI Annotation | Labeling | Prompt Engineering Roles |2026
Zensar Technologies is inviting applications from fresh graduates for exciting entry-level opportunities in the rapidly growing field of Generative AI operations, including Annotation, Data Labeling, and Prompt Engineering. This hiring initiative is designed for candidates who want to start their careers in artificial intelligence–driven environments and contribute to real-world machine learning and automation projects. With the rapid expansion of AI technologies across industries, roles in AI data operations have become critical, and this opportunity offers a strong foundation for candidates eager to build a career in this domain.
Zensar is a global digital solutions and technology services company and a part of the RPG Group. Headquartered in India, the company operates across multiple regions including the United States, United Kingdom, South Africa, and Mexico. It partners with organizations worldwide to deliver digital transformation solutions powered by cloud computing, data engineering, artificial intelligence, and enterprise platforms.
Job Overview Table
| Field | Details |
|---|---|
| Role | Gen AI Associate – Annotation / Labeling / Prompt Engineering |
| Company Name | Zensar Technologies |
| Location | Multiple Locations (India-based projects) |
| Experience | Freshers |
| Skills | Communication, Analytical Thinking, Data Handling, AI Tool Adaptability |
| Eligibility | Bachelor’s or Master’s Degree (Relevant Discipline) |
About the Opportunity
The Generative AI domain is currently one of the most transformative technology sectors, influencing industries such as healthcare, finance, education, e-commerce, and automation. Zensar’s Gen AI projects involve working with machine learning datasets, natural language processing models, and AI systems that require structured input to learn effectively. As a fresher joining this team, you will contribute to training AI systems by organizing, annotating, validating, and refining datasets.
This role is particularly suitable for candidates who are detail-oriented and enjoy working with structured information. Since artificial intelligence models rely heavily on high-quality training data, annotation and labeling specialists play a crucial role in improving model accuracy and performance. Similarly, prompt engineering tasks involve designing effective instructions that guide AI systems to generate accurate and meaningful outputs.
Roles and Responsibilities
Selected candidates will work on one or more of the following project functions depending on business requirements and evaluation performance:
- Annotating datasets such as text, images, audio, or structured information for AI model training.
- Labeling data according to predefined guidelines to ensure consistency and accuracy.
- Reviewing datasets for quality assurance and correcting inconsistencies.
- Creating optimized prompts to test or train generative AI models.
- Documenting workflows, observations, and results from AI experiments.
- Collaborating with project teams to refine processes and improve model outputs.
- Understanding new tools and platforms used for data preparation and AI testing.
- Maintaining strict adherence to data security and confidentiality standards.
Required Skills
To perform successfully in this role, candidates should possess a combination of analytical thinking, communication ability, and adaptability. Although advanced programming knowledge is not mandatory, familiarity with digital tools and basic technical concepts will be advantageous.
Key skills include:
- Strong written and verbal communication skills.
- Logical reasoning and attention to detail.
- Ability to analyze and interpret data patterns.
- Quick learning ability for new technologies and tools.
- Problem-solving mindset.
- Ability to work independently as well as collaboratively within teams.
- Organizational skills and time management.
Eligibility Criteria
Candidates interested in applying should meet the following requirements:
- Bachelor’s or Master’s degree in a relevant discipline (as specified in application form options).
- Academic performance meeting minimum percentage requirements:
- 10th Grade: 35% – 100%
- 12th/Diploma: 40% – 100%
- Graduation: 40% – 100%
- Strong communication skills in English.
- Willingness to learn new technical tools and adapt to project requirements.
- Ability to join within 0–60 days after selection.
Fresh graduates from diverse streams can apply, provided they demonstrate strong analytical ability and a genuine interest in AI-related workflows.
Salary and Compensation
The offered compensation for this role ranges between ₹3 LPA and ₹6 LPA, depending on evaluation performance, project allocation, and candidate skill level. Candidates demonstrating strong analytical ability and adaptability during the selection process may be offered roles on higher-paying projects within the specified range.
Work Environment and Learning Opportunities
Zensar provides a collaborative work culture that encourages learning, experimentation, and innovation. Freshers joining this role will gain hands-on experience working with real-world AI datasets and enterprise-level tools used in the artificial intelligence industry. This exposure can significantly strengthen a candidate’s technical foundation and open doors to advanced roles such as AI analyst, machine learning associate, data specialist, or prompt engineer.
Employees will have opportunities to learn from experienced professionals, receive project-based training, and develop industry-relevant skills. The company’s global presence also allows employees to work on international projects and understand cross-cultural business environments.
Career Growth Potential
Starting a career in Generative AI operations is a strategic move for fresh graduates because the demand for skilled AI support professionals is increasing rapidly. Professionals who begin in annotation or data labeling roles often progress into positions such as:
- AI Quality Analyst
- Machine Learning Data Specialist
- Prompt Engineer
- NLP Analyst
- AI Trainer
With experience, individuals can transition into technical or research-oriented roles within artificial intelligence, data science, or automation engineering.
Why Choose This Role?
This opportunity stands out because it provides:
- Entry into the fast-growing AI industry.
- Hands-on exposure to real-world machine learning projects.
- Competitive fresher salary range.
- Opportunities to learn emerging technologies.
- Experience working with global clients.
- Strong career growth potential in AI-related fields.
For fresh graduates seeking a future-ready career path, roles in AI data operations serve as an excellent starting point. They build a strong understanding of how machine learning systems function and how data quality directly impacts model performance.
Final Thoughts
The Zensar Gen AI Freshers Hiring Program is a valuable opportunity for candidates who want to begin their professional journey in artificial intelligence–driven environments. With structured training, exposure to advanced tools, and real project experience, this role provides a strong foundation for long-term growth in the technology sector.
Candidates who are curious, analytical, detail-oriented, and eager to learn will find this role highly rewarding. As AI continues to transform industries globally, starting your career in this field can position you at the forefront of innovation and technological advancement.
How To Apply
Click on the below application link