Remote work, no growth opportunities, employees are expendable, mass layoffs - Generative Ai Associate Innodata Employee Review

1.0
Feb 10, 2026
Recommend
CEO approval
Business Outlook

Pros

Diverse pool of fellow raters. Raters and team leads are pleasant and supportive.

Cons

The company recently did mass layoffs with insufficient notice for affected employees (3 days notice). The layoffs also didn't take into consideration whether employees were high performers or not. I worked for the company for almost two years and there were no opportunities for growth. If you start as a rater/annotator, you can expected to remain in that role without the possibility for a raise. Upper management can be cold and callous and views employees as bots more so than people. HR is also largely unresponsive and unhelpful.

Explore other reviews about Innodata

5.0
Feb 2, 2026
Recommend
CEO approval
Business Outlook

Pros

Great place to work with consistent communication.

Cons

Days can get repetitive and dry

2.0
Apr 12, 2026
Recommend
CEO approval
Business Outlook

Pros

Some flexibility Work from home

Cons

One thing I really didn’t enjoy about the guidance: our client sets a bench mark of having 85% “utilization”. Basically stating that of the 40 hours worked, 85% of that must be in “production code”, so about 35ish hours a week. The rest of the time can be spent reviewing emails, guidelines, etc. The project manager basically had management tell people that they could be 2.5 hours in other codes, and about 37.5 should be in production. If this is a decision from a client, then great, but it seemed to me the project manager was just trying to get every little bit of production possible out of people. I’m under the impression that if employees are treated like people and given proper breaks, the quality of work will be way better. If you force them to sit for 7.5 hours or a 8 hour day in front of a screen, the quality will be worse. The client says it’s 85% utilization, so why are we telling our employees they need to be in production for 37.5 hours out of the day? It just seems dishonest. Data annotation work can be tough and some of the tasks are repetitive and can take a lot of concentration. Half of the admin, forgets what it’s like to work in the queues, and drive these numbers blindly. Meanwhile, half of their job consists of chatting on teams all day.

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