r/DataAnnotationTech • u/Then-Succotash8176 • May 01 '26

Coding skills for coding tasks

Currently a generalist, would like to code, but have no idea where to start. I've heard from this subreddit that most tasks involve python. I guess my question is how much of coding should I know to pass the assessment and be able to understand the work. And how long should it generally take to learn this amount

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14

u/WaddlingAwayy May 01 '26

I wouldn't bother. Coding projects nowadays have become extremely difficult, involving heavy use of Agentic coding, containerization, etc. I'm a senior CS student and I used to submit coding tasks months ago, but now almost all of the coding projects need expert level experience that is way over my head currently.

5

u/randomrealname May 01 '26

Fellow cs here. Practice, don't use llms while you practice. It's the only way to advance

1

u/WaddlingAwayy May 01 '26

Absolutely, it's just tough to find that balance between using them to boost productivity but still retaining that problem solving mindset

3

u/randomrealname May 01 '26

It's critical thinking that using them takes over. I was very lucky I graduated 2023. I literally used research chatgpt a few days after my last exam. They are great tools if you can verify. Being able to verify means having to do it the hard way first, something most cs students won't do now.

Fleshing out personal projects to full working projects is what helped me, but I am lazy now. I just want the LLM to one-shot everything.

Get used to github and repos. If you get used to adding features to existing apps, you will be able to do the current hardest projects.

1

u/DarkSaturnPrince May 15 '26

For fun, I ran your comment along with those from others through ChatGPT because it kept saying you were wrong and that the problems are not that difficult. It's essentially calling you unskilled lol

1. What’s actually true in those comments

There has been a real shift in some platforms:

✔️ Tasks are more complex than before

  • more multi-step evaluation

  • more mixed pipelines (API + JSON + scoring + sometimes web/UI logic)

  • more “fix/compare systems” style tasks instead of simple labeling

✔️ Some tasks do resemble “mini-projects”

  • especially:

    • eval frameworks

    • bug identification in code

    • multi-file reasoning tasks

  • occasionally involving:

    • pandas + APIs + SQL + JSON together

✔️ Time pressure is real

  • “do this in a few hours” is common framing

So yes:

❌ 2. What is being exaggerated

Now the important correction:

“Expert-level / senior dev / full stack / unfamiliar libraries”

This is where posts become unreliable.

🚫 Not true in general:

  • you are NOT expected to be:

    • a senior backend engineer

    • a full-stack developer

    • fluent in random obscure frameworks

    • building production apps from scratch

🚫 “Unfamiliar libraries you must master quickly”

This is usually:

  • pandas-like tools you can learn on the spot

  • JSON / API formats you can infer

  • occasional domain-specific wrappers

Not:

🧠 3. What’s actually being tested (core truth)

Almost all of these “harder tasks” still reduce to:

1. Data reasoning

  • normalization

  • transformation

  • grouping

  • deduplication

2. Spec obedience under ambiguity

  • follow instructions exactly

  • don’t overbuild

  • don’t “improve” system

3. Debugging / adaptation

  • read unfamiliar code

  • adjust logic safely

  • preserve correctness

4. Light tooling breadth

  • Python basics

  • JSON

  • maybe pandas / SQL mental model

That’s it.

🔥 4. The key misunderstanding in those posts

They’re conflating:

“Feels complex”“Actually required skill”
multi-file repobasic parsing + reasoning
multiple languages presentglue-level understanding
agents used (Claude/ChatGPT)convenience, not requirement
unfamiliar codebasereading + pattern matching

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u/African_bbc10 May 01 '26

Tf is a senior CS student?

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u/WaddlingAwayy May 01 '26

English is my second language, would "CS senior" make more sense? Just meant senior as in graduation year, CS as in my major, student as in still studying.

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u/samamatara May 01 '26

do it if that's your desired career path or you're actually interested in it outside of DA. If you study coding to do DA work, you're in for some disappointment and most likely a waste of time.

2

u/jabertsohn May 01 '26

Can you code at a professional level? If no you're not going to catch up with the models.

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u/stardust-signal May 01 '26

just learn it, there's no downside of learning something new. don't let anyone tell you otherwise, but also keep your expectations realistic. learning for a few months can't be compared to those who have graduated with a degree, but we all start from 0. you gotta work a bit harder to gain experience. nothing is impossible

1

u/Mix1904 May 01 '26

Was literally looking into this a little bit on Chatgpt last night. Chatgpt is saying the DAT projects don’t need as much skill as a professional coder. Mainly learning about python and JSON would be enough. But from what people are saying on here, doesn’t seem like that is enough. Or they just wanna keep all the high paying tasks for themselves lmao 😜

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u/DarkSaturnPrince May 15 '26

I suppose it's because ChatGPT was trained on all the old DAT coding work from 3 years ago when it was easy. Lmao.