Pros
Good option for fresh graduates looking to gain corporate experience and work with large international clients. The work environment is generally stable, processes are structured, and expectations are clearly defined. The role can help build attention to detail, quality assurance skills, and an understanding of how AI training data projects are managed at scale. I got to work on projects with Google as a Client.
Cons
The work can become repetitive over time, especially in data annotation projects. Technical growth depends heavily on the project you are assigned to, and opportunities to use skills such as Python, machine learning, or data science may be limited in some roles. Internal transitions to more specialized technical positions can also be difficult without significant self-learning and external experience.