Perfect for freshers, especially non-CS grads or early tech aspirants.
₹2.8 LPA to ₹4.2 LPA (varies by location and team).
Resume booster + LinkedIn profile credibility.
Intro to ML workflows, AI tools, and data ops.
You’ll be trained before working on production tasks.
Work from office (few hybrid options rarely available).
Daily tasks involve labeling/tagging – not creative or problem-solving.
No core ML model-building. You work on data, not the actual machine learning algorithms.
Limited vertical growth. Promotions can be slow unless you upskill (Python, SQL, analytics).
Transition to other teams needs effort. You’ll have to apply internally and justify skill upgrades.
The interview was very good. I had so much fun because it was easy and the interviewer was nice to me and all the other candidates. Therefore, I think one should apply for this role.
Overall easy interview, basic interview questions to test communication. Firstly, they conduct a Versant test. Secondly, a short interview to test communication skills is taken. Thereafter, you'll receive an email with the result of your interview.
Overall, the interview experience was quite good. Simple questions were asked, such as an introduction, about the role, experience, and challenges faced in previous roles, etc. All of those went easily. They will check your basic communication skills
The interview was very good. I had so much fun because it was easy and the interviewer was nice to me and all the other candidates. Therefore, I think one should apply for this role.
Overall easy interview, basic interview questions to test communication. Firstly, they conduct a Versant test. Secondly, a short interview to test communication skills is taken. Thereafter, you'll receive an email with the result of your interview.
Overall, the interview experience was quite good. Simple questions were asked, such as an introduction, about the role, experience, and challenges faced in previous roles, etc. All of those went easily. They will check your basic communication skills