Freshers Opportunity in GEN AI - Annotation | Labeling | Prompt

Zensar’s interview process typically starts with an online assessment covering quantitative aptitude, logical reasoning, and basic programming. Successful candidates move to a technical interview where they are tested on data annotation concepts, Python basics, and AI fundamentals. The final HR round evaluates cultural fit, communication skills, and career aspirations. Overall difficulty is moderate; thorough preparation of coding fundamentals and understanding of annotation tools helps candidates perform well.

Zensar promotes a collaborative, merit‑based environment where employees are encouraged to innovate and upskill. The company emphasizes work‑life balance, offers flexible work arrangements, and provides regular learning sessions, certifications, and internal mobility opportunities.

• Preferred streams: Computer Science, Information Technology, Electronics & Communication, Electrical, Mechanical, or any discipline with strong analytical aptitude. • No active backlogs; maximum 2 backlogs allowed at the time of application. • Fresh graduates from the 2023‑2025 batch are encouraged to apply. • Strong written and verbal communication skills. • Willingness to learn AI‑related tools and technologies.

Round 1: Online aptitude/technical assessment → Round 2: Technical interview (focus on data annotation concepts, basic Python, AI fundamentals) → Round 3: HR interview (behavioral fit, motivation, communication).

Zensar Technologies is a global digital solutions and technology services company that helps enterprises across industries accelerate their digital transformation journeys. A subsidiary of the RPG Group, Zensar’s headquarters are in Pune, India, and it operates delivery centers in the United States, United Kingdom, Mexico, South Africa, and several other locations. The firm is known for its strong focus on innovation, cloud-native platforms, and emerging technologies such as artificial intelligence, Internet of Things, and cybersecurity. Over the past decade, Zensar has built a reputation for delivering end‑to‑end solutions that combine deep domain expertise with cutting‑edge technology, earning trust from Fortune‑500 clients worldwide. The role of Freshers Opportunity in GEN AI – Annotation, Labeling, and Prompt Engineering is designed for recent graduates who are eager to start their careers in the fast‑growing field of generative AI. Candidates will work on data preparation pipelines that feed large language models and multimodal AI systems. The position offers a CTC range of 3‑6 LPA, which is determined by the candidate’s academic performance, project experience, and the specific AI project they are assigned to. Zensar provides a structured learning path, mentorship from senior AI engineers, and exposure to real‑world AI deployments across sectors such as banking, healthcare, and retail. **Key Responsibilities** 1. Perform high‑quality annotation and labeling of text, image, audio, and video datasets for generative AI model training. 2. Develop and refine prompts for large language models to achieve desired outputs. 3. Use annotation platforms (e.g., Labelbox, Scale AI) and version‑control tools to manage data assets. 4. Collaborate with data scientists, AI researchers, and product managers to understand labeling requirements. 5. Conduct data quality checks, resolve inconsistencies, and maintain documentation of labeling guidelines. 6. Continuously learn and adopt new AI tools, libraries, and best practices. 7. Participate in sprint planning, stand‑ups, and retrospectives within an Agile environment. 8. Meet project timelines and deliverables while ensuring data privacy and compliance. 9. Contribute ideas for improving annotation workflows and automation. 10. Assist in creating sample prompts and evaluating model responses for iterative improvement. **Tech Stack**: Python, Jupyter notebooks, annotation tools (Labelbox, Scale AI), OpenAI API, Git, Docker, basic NLP libraries (spaCy, NLTK). **Growth Path**: Junior Data Annotator → Senior Annotator → AI Data Engineer → AI Project Lead → AI Solutions Architect. **Why Join Zensar?** Zensar offers a vibrant, inclusive culture that encourages continuous learning, provides access to global AI projects, and rewards performance with clear career progression. Fresh graduates gain hands‑on experience with cutting‑edge generative AI technologies while being mentored by industry experts, making it an ideal launchpad for a long‑term AI career.