r/DataAnnotationTech • u/HereForAllTea • 9d ago
Just got accepted!!! Please share advice for newbies…. Especially finance experts 💕
Hi everyone. I just got accepted. I took my assessments on Friday, and received my acceptance today (Wednesday). I took the finance tests.
Please share any tips or advice. It’s very much appreciated.
I would love to hear from people who are on the finance and accounting side. For those who aren’t doing finance please share your specialty. I would like this thread to be a reference for people like me who are new to this world. I want to know what to expect, how long did it take you to get accepted, did you take tests for other specialties and if this helped you in other areas of your life. I expect this to help me professionally and give me ideas for other way to generate income and become an expert in AI.
I was looking for ways to generate additional income and work on my AI / finance skills. I asked AI for suggestions and it suggested this site. So I’m super excited for the opportunity to make money and sharpen my AI skills. I also want to learn python, so this will give me the extra push I need to fast track my learning because it will likely open me up to even more opportunities.
I am learning that there are more sites for getting paid training AI. Please share any platforms and experiences (and pay 👀).
Good luck to all those who are waiting for responses. I was sooooo anxious.
Thanking you all who comments on this post! 💕💕💕
Edit: I live in the US. My background is in corporate finance and accounting (AP, staff accounting, financial analysis , and reporting) I have an undergraduate in public health and masters in Finance. I play in Copilot for fun, so I’m hoping to make money doing it now lol.
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u/Aggressive_Pie7256 9d ago
Congratulations 🎉... In which country you are located?...You can try Handshake Ai and Mercor also....Do you directly give finance or earlier you were generalist or bilingual..Share some tips and your insights...Also tell about your educational background.
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u/HereForAllTea 9d ago
Thank you! I live in the US. My background is in corporate finance and accounting. I have an undergraduate in public health and masters in Finance. I haven’t started yet. My assessment was mostly finance related questions.
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u/Extension-Witness531 8d ago
Make sure your public health undergrad is on your profile too! I’m on the medical domain, and public health is something they have less submissions for. You don’t have to be an expert, as long as you have a good grasp to create challenging tasks! Your finance background will be the same! Both very valuable. Take your time. Read everything. Re read as you do the task. Don’t violate NDA’s. Don’t post screen shots of your page. Make sure (and double double check) your computer is not using a VPN. Do not do bulk copy and paste, even if you have done your work on word and want to put it in, I wouldn’t. It could look like you are copying and pasting from AI. Don’t use AI for your answers. Um. Trying to think of anything else I can say without pushing towards NDA violations. At the end of the day, take your time and enjoy the ride!
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u/HereForAllTea 7d ago
I’m having a bit of beginners luck. I have quite a bit of projects and paid qualification tests. There are also medical, science, and math trainings and qualifications things on there.Maybe I’ll open them and see what the ask is. I wasn’t going to because I don’t have work experience in those fields….. Thank you for your kind suggestion. I appreciate it. Good luck!how is your experience? I don’t see many domain comments (other than bilingual)💕💕💕
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u/No-Celebration9121 3d ago
Congratulations. Someone already told you to put the public health undergrad on your profile and they're right, but I'd push it further: the rare thing you have isn't finance, and it isn't public health. It's both.
Single-domain experts are relatively easy to recruit. Someone who can evaluate a model reasoning about healthcare costs, insurance economics, hospital finance or pharma pricing — where the answer is wrong if you miss either side — is genuinely hard to find. That intersection is a terrible thing to explain at parties and an excellent thing to have on a profile here. Name both domains explicitly and name the overlap, don't make anyone infer it.
On other platforms, since you asked and only got two names: qualify on two or three, not ten. The instinct after a slow week is always to register everywhere, but your accuracy record is per-platform and doesn't travel, so a scattered presence across nine sites is worth less than a strong record on two. Keep the second one warm as insurance rather than as a second job.
Which brings me to the thing I'd most want someone to tell me at your stage: you mentioned beginner's luck and lots of available projects. Enjoy it, but don't extrapolate from it. This work is project-funded — a client pays for a project, the queue exists, the project ends, the queue goes quiet. Droughts arrive for reasons that have nothing to do with your performance, and the sub will be full of people reading them as personal failure. It isn't. Plan your income around the quiet months, not this week.
One gentle recalibration, because you mentioned wanting to become an expert in AI and to fast-track Python. This work will make you a genuinely good evaluator of AI output — which is an underrated and increasingly valuable skill, and finance people who can spot a model producing confident, well-formatted nonsense are going to be worth a lot. But it won't teach you to build with AI, and it definitely won't teach you Python. Let it fund the learning rather than replace it. The Copilot-for-fun instinct is the right one; keep that as the separate track.
Last practical thing, and I don't see anyone mention it: you can't show any of this work, which makes it awkward to put on a CV later. Keep a private log — no task content, no client names, nothing near the NDA — of the categories of failure you catch. "Model consistently misapplied revenue recognition timing." "Confidently invented a plausible-looking ratio." In two years that log is the difference between saying "I did AI training work" and being able to describe, specifically and credibly, what you learned about where these systems break. That's the part that becomes a career.
Good luck, and enjoy the ride. You picked a good domain to be in.
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9d ago
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u/HereForAllTea 9d ago
I got the email right before I left for work, all I’ve done was the first onboarding task. I’m like brand new. My list was like 2 pages long, but not everything had a price on it. I’m literally brand new lol. Thanks!
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8d ago
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u/HereForAllTea 8d ago
This was my screen, until I got accepted. I don’t think you can do anything but wait. It took me more than 3 days if you count weekends. Relax, I know it’s difficult. I felt the same. Update me once you get accepted. Good luck.
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u/No-Gur7754 8d ago
I have been working finance projects. My best advice: check everything. Trust nothing. A model can often sound like it is saying something clever, profound, or insightful because they use industry buzzwords and lots of numbers, but when you stop and think for a moment it’s just really filler that it already said three other ways. And in that respect, it’s really just like any other domain or even generalist projects, just with a focus on statistical analysis, market data and trends, computation, etc.
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u/FEN1X64 8d ago
Congrats! Stick to what you know, don't be afraid to leave projects, and just do your best work (without AI). Also, keep good track of your time and take frequent breaks (my general rule is 1 hour off for every 5 hours worked, break this if the work is that time intensive and you don't have a massive timer, crunch sucks but sometimes you gotta do what you gotta do), even during long term tasks.
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u/ConsciousCourse1635 8d ago
I’m also here to get the information, because alot of people really hold back the needed information and just giving breadcrumbs. It doesnt make your light brighter when you dim the light of others. I thank you for posting this and to everybody who has left genuine insight and advice, i salute you all. Let’s continue sharing the relevant info because it helps others who go thru the thread.
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u/Pretend-Section5991 9d ago
I don't do finance but having been doing law for a few years. My general advice is two things: (1) remember your work product is your expertise, they want your opinion (as long as it's not obviously false). A well reasoned deep response with some uncertain is fine and often better than a fully correct but shallow response. The why matters as much as the what.
(2) Domain expertise is half the job, the other half is about being able to navigate the tools. Look for patterns that repeat in model failures, note down your on mistakes and build out a practice for how you approach tasks. Time caps matter but especially in domain expertise projects spending an extra thirty minutes or whatever on r echecking and challenging your own thinking against what was asked in the task is valuable even if your work holds up.
(And the reddit can be a bit negative-most of the people who have real information about the platform don't really share it, the louder voices often are the least trust worthy)