Good work-from-home job, but no opportunity for growth/development - Recensione dipendente - Generative Ai Associate presso Innodata

3,0
18 lug 2025
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

- 100% remote - Low stress - I had 3+ months with no work to do, so I was paid for doing nothing - Decent benefits - The vast majority of people I worked with were easygoing

Svantaggi

- Very few (if any) opportunities for growth, development, or advancement - You won't gain any transferable skills aside from being able to tell prospective employers that you "worked in AI" - Some projects are interesting, while others are extremely boring and mind numbing - I was hired through Robert Half as a "writing specialist" and was told the position was writing intensive; however, several projects involved looking at images/videos and clicking checkboxes - I always got the sense that the job wasn't secure, whether it was not having any work for 3+ months, hearing about layoffs, or working on projects that would have made way more financial sense to be assigned to outsourced employees. I also recently saw Innodata advertising for part-time, independant contractor generative AI associates, which leads me to believe they may want to cut full-time employees in this position who receive benefits. - Despite achieving high performance metrics, I only received a modest bonus and didn't receive a salary adjustment after receiving positive feedback in an annual performance review

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5,0
2 feb 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Great place to work with consistent communication.

Svantaggi

Days can get repetitive and dry

2,0
12 apr 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Some flexibility Work from home

Svantaggi

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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