Awful company, don't be fooled by fake positive reviews - Generative Ai Associate bei Innodata: Mitarbeiterbewertung

1.0
30. Mai 2025
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CEO-Befürwortung
Geschäftsprognose

Pros

Some flexible work hours, but even those are slowly being whittled down

Kontras

There are so many fake positive reviews. You can tell, because they all say "no cons as of now." They're clearly combat their many, MANY negative reviews. This company is shady. They have HORRIBLE communication, their HR team is rude and unhelpful, and also a tiny department of inept individuals. The work is boring and tedious and makes you feel like your humanity is nothing. There are harsh time constrictions (you have to clock out ot use the restroom), constant changes (to metrics, KPI, etc) that often make no sense, there is a constant threat of layoff, being asked (strongly encouraged/threatened) to work overtime for no pay, slim to no opportunity for advancement, I could go on and on. I would NEVER recommend anyone to this place, everything feels very dirty and scammy.

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5.0
2. Feb. 2026
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CEO-Befürwortung
Geschäftsprognose

Pros

Great place to work with consistent communication.

Kontras

Days can get repetitive and dry

2.0
12. Apr. 2026
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CEO-Befürwortung
Geschäftsprognose

Pros

Some flexibility Work from home

Kontras

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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