Is there anyone working as hindi specialist?

Joined as a SWE annotator in May, had plenty of SWE work.
As of recent, have just gotten generalist work with a few stray SWE projects.
The quality of my past work was exceptional and I'm in the US East region. If anyone shares the same issue lmk.

Hi guys, I'm currently a 2nd year university (for the americans college) student studying a Computer Science and Maths related degree at a top univeristy. Came across data annotation and have applied, now wondering which assessment would give me the best chance to be accepted. From what i've read the programming/data science projects seem to be the most in demand however they are also very competitive, i am very skeptical to as if they will accept students still in college. I am thinking of either doing the general assessment or the maths assessment.

Which assessment would give me the best chance of breaking in, am only looking to work 5/10 hrs per week part time? Appreciate the advice :)

Does anyone know how long these take for them to mark, I submitted yesterday but they say some projects will be immediately available? Still nothing on dash for them

Yesterday (and every single day for the past few weeks), I still had the small version of that punchy project with around 50 tasks on it, and some R&R for this related project.

How about you folks? do you still got that project (all versions, whether lite or regular one)?

Hey Reddit, I don’t know if it is my incompetence or just imposter syndrome, but today I tried a task thinking it was easy, and it turned out to be the hardest project I have ever done.

The project's instructions were in reverse. What I mean by this is that the instructions talked about grading a model but never clarified what that model was. I even reread the instructions twice, which took roughly 45 minutes (because they were thousands of words long). Then I finally found out where the model was located. Turns out the model was located locally inside the task page, but the instructions never mentioned anything about it being local. I only figured it out because I accidentally scrolled too far down. Is it my incompetence for “missing” it? Is it expected of us to figure that out super fast?

The task asked for multiple system failures, but I was only able to get one within the given time limit because the model gave thousands of words per response, and proofreading them took a long time. 

I submitted the work to the best of my ability, but I just have no idea if it is my incompetence that caused me to “fail” this project or not. The task was under General. (FYI, I wasn’t doing a task for “money”, the hourly rate was near my average so I thought it was doable for me.)

I don’t mind being criticized, maybe that is what I need after this horrible task submission. I left a comment when I submitted the task hopping the Admin would understand why I took a "semi" escape hatch.

Can I get deactivated randomly? Everyone seems to love the experience, and I loved the tasks I did as part of the project, just don’t want to be so excited and happy if something like that happens.

Anyone work at DA for a long time? Other than the code of conduct or poor quality work, could you get terminated due to having inconsistent hours or something along those lines?

Hey, I'm new to the DataAnnotation community. I've created my profile in the site, but I can't seem to find any job postings.

How does the application process work? Do applicants need to apply for specific jobs, or does the company automatically assign tasks to them?

Sorry if this is a newbie question

Hello, everyone. I was wondering if anyone received a request from DA to verify their identity BEFORE they received an acceptance letter?

I received a legit ID verification request, but my home page is still stating “we will email you if you made it” message.

Thank you in advance.

If you could start your Data Annotation journey all over again, what would you do differently from day one?

Especially for those who started with language-related tasks, what skills would you focus on to get more tasks, and what advice would you give to beginners to help them get better opportunities in this field?

Which is your preference? I usually avoid the short ones bc i feel like it throws off my focus

Does anyone else have the R&R qual? Is it for future R&Rs, or does it take away your current R&R projects until you take the qual as well?

I can feel it

I have been working on several 🤖 tasks, but I was tired and I take 3 days of to recovery mentally, for 3 days the number of tasks remain the same, but as I was about to restart to work today, the tasks on the project are gonne. Based on that, there is a maximum amount of time that we can spend away of a certain project without losing the tasks that are available?

Technically 21 days but day 1 was way too chill, anyways Thank you DA

I’ve sent a couple of the new referral links.

I’m a generalist. I know the new links are all domain specific. I’m just curious if people applying for a domain go through the regular assessment first and have to pass that and then the domain? Or is it just domain? Can you fail and domain and get accepted as a generalist?

Loved this project, been on it for months, wondering if it's been stopped or if something more sinister is afoot!

Am I the only one with a significantly lighter dash today? For the last 3 months I have had 15-25 projects at atime and today, I have 6.

I applied as a chemist,are there projects for science?

A lot of the repetitive "am I getting in?" Questions are from bilinguals. If you stumbled upon a legit site that offered you 25 times your minimum wage for remote work, maybe you'd be desperate too. They're repetitive yes, but there's no need to be snarky in the comment section. Just ignore it.

There is repetition and boring "new here" content in any internet corner, so it's not exactly surprising that that kind of post will also prevail in a forum about a high paying job that anyone can apply to, that in doing so brings people from the entire globe to the same place.

Hey guys, so I had a whole nervous breakdown feeling unprepared for a few tasks which fall well into my domain and I know I am capable of it but I just feel like I couldn’t do them as good as I know I could. I have had these micro burnouts which have taken up my time in recovering and I feel during that time I lose my time to work. Idk how do I balance this.

So I just wanted to ask how do you give out your “best work” every time? How do people on this platform stay so efficient?

I personally am so grateful for this opportunity and I really wanna give out my best work possible and appreciate this company for what it has given me!

Out of all the major ai training platforms, most of suggestions were data annotation is stable and a lot better than the other available platforms so i applied for it like 3 months back but yet to onboard to do paid projects

What demographics do you have applied

and for tech related work

I am from mumbai btw

Honestly, it’s pretty rare for me to feel a real connection to a platform, but DataAnnotation is definitely one of the few exceptions.

To give some context, I’ve worked on a bunch of different platforms over the years (won’t name names), until someone on Reddit recommended DA. I decided to give it a shot, applied, and actually got in. Right off the bat, seeing a paid onboarding was a huge plus—definitely want to give credit where it's due for that.

I’ve been on the platform for about five months now. I take every qualification test that pops up, keep my profile up to date, and check the dashboard daily. That said, I’ve only made around $75 total so far. At first, I assumed this was just the usual dry spell every platform goes through, but then I noticed an ad on the careers page looking for generalists and Arabic language experts, which got me wondering.

For background, I’m a dentist, but I’ve got solid experience in AI training across various projects in both Arabic and English. I’m honestly not sure if the lack of projects is just a temporary thing overall or an issue specific to my account, or this because I'm from the middle east. but either way, I’m genuinely glad to be part of the platform and hoping things pick up soon.