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Baeldung

Work on Computer Science and AI/ML focused Tutorials

Worldwide

algorithm

latex

machine learning

data science

data structures

1 year

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Work on Computer Science and AI/ML focused Tutorials

Location: Type: Full-time

We’re looking for an Engineer/Scientist to work on articles explaining core Computer Science concepts.


First – you naturally need to have a CS background to base your work on, preferably with teaching or research or machine learning. Candidates without at least two years of teaching or CS-related projects won't be taken into account.


Second, while the articles aren't focused on any particular language, they can be code-centric, so being in the trenches and able to code is instrumental. We also use LateX to publish our CS articles, experience with it is considered an asset.


Finally – you need a solid command of the English language.


Definitely don't stop reading here :)



Budget and Time Commitment


========================


Here are the typical budgets used by most authors:


Level 9



  • 1250+ words - 77$

  • 1500+ words - 82$

  • ...


Level 10



  • 1500+ words - 85$

  • 2000+ words - 95$

  • ...


Once you get started, we have a lot more budget levels (the top level is 20), based on the quality of your writeups.


...


In terms of time commitment, a good target is one article every 2-3 weeks - but that’s very flexible (as long as our communication is good).


About the article (+ some examples)


=============================


We’ll usually pick articles out of the existing content calendar of the site. You can also suggest your own topics as well (and get additional compensation for that).


Here are a few examples of topics:



  • Breadth-First Vs Depth-First Traversal

  • What is the time complexity of tree traversal?

  • Algorithm to return all combinations of k elements from n

  • Sort of fixed length 6 int array


And a few examples of articles:



  • Introduction to Graph Theory

  • Finding the Shortest Path in a Graph Visiting All Nodes

  • Normalization vs Standardization in Linear Regression

  • Introduction to Machine Learning

  • SSL vs SSH


Finally, you can also find the contribution guidelines on our site: https://www.baeldung.com/contribution-guidelines

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