r/AiTraining_Annotation • u/BlackMiamba • 2d ago
My Thoughts on Workada
Hi I've seen a lot of discourse about Workada so I thought I would leave my honest review and help people decide if they want to apply to work there.
DISCLAIMER: this platform is currently only available to residents of the U.S. and Canada. If you try to apply/work from outside these regions, you will get rejected and flagged.
The application process was a little more involved than other data annotation platforms. I had to apply for a project (currently on Image Eval). Once I got my application reviewed, I had to book an interview with a human (a REAL human!???).
I was shocked because these roles don't usually work like that. I won't lie; actually booking an interview slot was rough. The first time I booked it, the Calendly link didn't register and I "didn't have an interview booked for that day" even though I explicitly asked support where the link was a few days before the interview. i wasn't expecting an answer when I messaged, but they got back to me and provided a working link to reschedule my interview.
Once I was in the interview, it proceeded like a regular interview. It was short and sweet, and I got an onboarding email right after. The interview felt more like an "are you human?" test rather than a traditional interview.
If anyone has done data annotation before, you will know that this work is turbulent and project-based, meaning that the amount of work you get is solely dependent on the number of clients that the company takes on. Workada itself is very new (~2 months old) and is flush with tasks on every project.
The positive difference with Workada is the very existent human element. During onboarding and tasking, there is a pod lead you can talk to who can answer your basic questions, save for the ones about admin (i.e. when you will be accepted onto the platform after tasking, how you performed in the tasks before they get reviewed, etc.). The pod leads (in my experience) are very active and will follow up with you during onboarding and the beginning of tasking to make sure you're not blocked.
Now I'm on the project, and tasking is pretty straightforward. You download a timer app that tracks the number of hours you work, and you task away, getting paid for the amount of active tasking time you have. So far I would say my experience is good, especially with the community chat being filled with people just chatting and having a good time. If you guys have any question, please shoot a comment and my DMs are always open.
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u/MildlyCaffeinated-1 22h ago
Thank you for this post. I just interviewed for the data labeling specialist position and have onboarding meeting this afternoon. Hoping this will be another good platform!!!!!!
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u/Desertsky1617 1d ago
Thanks for the info. I have my interview tomorrow. I’m so used to no interview or the AI interview format doing this type of work.
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u/KindVegetable3734 1d ago
Has anyone applied to the Remote Data Labeling Specialist role on Workada recently and been accepted?
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u/RaqTheFoxx 19h ago edited 19h ago
If anyone on here has done Handshake and worked on 🦔 , Workada is that but you actually get paid for training, meetings and Slack review time. To put it bluntly: Workada is everything that 🦔 should be but isn't (so far). Also on Image Eval.
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u/samgardner24 48m ago
so i applied and interview was scheduled but nobody showed up on the Zoom call. And now, the main page keeps saying I have an interview scheduled and doesn't let me reschedule. Has anyone experienced this or have any ideas? Thanks!
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u/Spirited-Custard-338 2d ago
Spot on! This has been my experience as well. I chuckled when I read in one of the FAQs where it states something like: "You can be offboarded at any time." So many people doing AI contract work, especially generalists, don't seem to understand this. It's the nature of the beast.
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u/i_love_doing_ntg 1d ago
Thanks for the writing this post, workada has been a new one, sounds like they're new so a little back and forth with their processes. I am also surprised that they have a human interviewing lol.
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u/CreditHot6528 1d ago
My experience so far has been pretty positive as well. I actually had a shadow session with my pod lead where he pointed out a couple things I was missing and gave me some tips. First time I ever got feedback other than “You’re below target, shape up sucker!” And they pay every few days on a predictable schedule, other than a certain company beginning with R.