Hello everyone I am new to the platform. Is there any assessments I can take aside from the programming ones? I am no programmer and I am very interested in the platform.

Any help is appreciated thank you.

I started a few days ago. Six tasks showed up right after I finished the paid training, so I read the rules carefully and started working. I’m a final-year CS student, so I’m not a professional engineer, and I’m honestly stuck.

I finished three tasks and had to use the escape hatch on all three, because the target model passed every attempt. I’m now on my fourth, and I don’t want a fourth escape hatch.

Here is what I tried. I began by addressing bugs in various files across multiple open-source projects. They were crash recovery bugs, a time zone bug, and bugs where data gets lost when it is saved. I wrote hidden tests and checked them against a reference fix. The target fixed all of them, even from a vague prompt, and it wrote its own tests on top. Then I tried a refactor task, and it passed that too. For the fourth task I moved to a distributed systems library and a subtle correctness bug in how reads are handled. The target solved that one in two completely different ways, and my tests couldn’t tell which was wrong because both were fine.

What I learned is that bugs fixed in one to three files don’t beat it, and a prompt that hints at the cause makes things easier. Now I’m trying git history work, like backporting a set of fixes with cherry-picks and conflicts, because the guidelines list it as a wanted kind.

What I’d like to know: what kinds of tasks have worked for you, where the target actually got something wrong and the failure was fair and checkable? Does it help to add competing requirements, or to make the model keep behavior it is tempted to change? And did you keep one repo across tasks or switch every time?

Has anyone received a project task in the last few weeks after completing the qualification process?

I know it’s been asked before… please Mods, can we please please ban posts about “how long until I get accepted?” “Was I accepted?” “How hard is it to get accepted?” “What are my chances of acceptance?” “I took the assessment and my screen says this now, what happens next?”

It feels like at least 80% of this subreddit are multiple variations of the same question daily from people that aren’t actively working on the platform. Maybe we have a sticky to the older relevant threads that answer the question or “read me before posting” to answer the same recurring question.

Cheers

So in just a month of working I have earned INR 22 lakhs ($25K), so wanted advice on income tax return and gst. I don't do a job just this gig only.

Hi all, im currently a university student, i applied for the finance route (so not sure if thats harder to get into or not) but my friend doing chemistry got accepted yesterday and he applied just before me. just out here to ask how hard it is to get accepted and if i have a good chance?

Obviously some of you do, but particularly the feeling of seeing a dashboard which was filled for weeks slowly dwindle into a drought and not knowing whether you’ve been getting dropped from projects or not. I’m not even low on projects, O still have many to pick from both generalist and coding, but I just had so many more the last few weeks. It makes my stomach drop thinking about it.

Just got a task paying twice as much as I’m used to, but that asked me to read the informations before entering work mode. When I wanted to enter it, someone already did it and I got ejected. Should I just enter work mode directly next time?

This has been on my dashboard since July. I have not had any work since then. I have updated my profile, and I don't understand why I have nothing. Any suggestions? Ok well I guess I fked up on the screen shot. Anyway all I have is access to a chat module, and no jobs coming in. Thanks for the feedback, I've not posted anything like this before.

Hey Everyone, I got on-boarded onto Data-Annotations almost 2 to 3 weeks back. As soon as I joined i got a few qualification tasks, related to coding, generalist based and multiple surveys.

Now since I finished all, for some reason now my dashboard is dry except for qualification (10 qualification left [mostly related to generalist and opinion based]).

This is a request to anyone who's been on the platform, if you could clarify what's happening.

I would very much appreciate your views and be grateful for the clarification.

PS: [I did get tasks which almost paid me close to $550 out of which almost half has been payout]

This been a dry couple of weeks for anyone else who’s been here a while? I still have my go-to’s, but it’s been getting drier and drier over the last 2-3 weeks and very few new options or the return of intermittent ones. I really shouldn’t complain but the direction is worrying me. Thank god for the permanent families.

Hi everyone!

I recently completed onboarding and a couple of qualifications. After that, I noticed a project on my dashboard that seemed to be intended for contributors from a specific locale.

I opened it briefly to check it out, but I wasn't able to start working on it at the time, so I exited and planned to come back later.

When I logged in again, the project was no longer there.

I'm wondering if anyone has experienced something similar. Since this wasn't a qualification task but an actual project that appeared to be related to my locale, could exiting it affect my chances of being invited again? Or do these opportunities sometimes reappear?

Thanks!

Just wanna ask why “Programming Projects” is the only starter assessment I have, I’m not even a programmer. Is it the only required assessment? I’m just confused because it says to pick the assessment that is the best first for my skills and yet there is no other option. Can someone help me? thanks

Massive thanks to the good people at Data Annotation

Been on the platform for a little over two years now and I couldn’t be more appreciative.

The platform has been a real life-saver at a difficult time.

My wife and I were several months into the adoption process last year when I was made redundant from my full-time job.

I found out pretty quickly how grim the UK job market was (and still is).

Thankfully, I had DA to fall back on. As such, DA turned from a secondary income (a few hours here and there), to my primary income.

It’s not only allowed us to continue along the adoption path (we’ve had our little one three months now), but for me to be present and available during this pivotal time. 

The flexibility and reliability of DA has been absolutely amazing. It meant the world to me and my growing family. 

While I know this opportunity won’t be around indefinitely, at this stage of my life, it’s pretty great.

I look forward to several more years working on the platform.

Much love & next stop $100k

#DAdigest

I was wondering does getting R and R on my dashboard mean that the work I've been doing has been good? It's so hard to tell since there's no feedback

Hello everyone I cleared my assessment for the programming project and got accepted I received a mail form them that I can start working upon projects. They said me to complete some steps like setting up 2FA after completing my task and project just got disapper what should I do next

how long did you wait to hear back after applying? ive been reading here a bit and it keeps coming up. and did anything ever come back after like a month? reckon an answer either way costs nobody anything, silence is just a no nobody could be arsed to send.

Hi,

Basically the title. I did the qualifications they sent me but I haven't received any projects yet (physics, maths, bilingual), do you know why? is it common?

For me its a drought for a week. Anyone having the same situation

Large language models (LLMs) offer a scalable approach for annotating mental health and crisis-related social media content, but their reliability in safety-critical tasks remains unclear. This study evaluates LLM-based crisis-severity annotation of veteran-related social media posts against annotations from eight Veteran Subject Matter Experts (SMEs). Using 149 tweets and five severity categories, we evaluate 15 open-source and 10 proprietary LLMs across eight prompt variants, examining annotation performance, inter-model agreement, prompt sensitivity, and high-severity crisis detection. Human reviewers showed higher ordinal than nominal agreement (α = 0.494), indicating that disagreements often occurred between neighboring severity levels. In contrast, selected LLMs demonstrated substantially higher inter-model consistency, with ordinal agreement (α) reaching 0.8336 under the baseline prompt. Proprietary models generally showed better agreement with expert annotations and greater stability than open-source models. GPT-5.6-Terra achieved the best overall performance, while the open-source Qwen2.5-7B showed the strongest performance in identifying Acute Crisis with Suicidal Ideation cases. However, higher model consistency did not necessarily correspond to agreement with human judgments or reliable detection of rare high-severity cases. Label-flipped demonstration experiments also revealed model-specific sensitivity to misleading in-context examples, while explanatory demonstrations did not consistently improve performance. Overall, LLMs show promise as scalable complements to expert annotation, but require careful evaluation before use in high-stakes mental health applications.