Pitches wanted (machine learning, 3-D graphics, gaming, etc.) | $200 to $300 per article

COMPANY/PUBLICATION: PAPERSPACE

Get paid to write articles about topics in machine learning, deep learning, 3-D graphics, and more.

We're constantly developing our blog as a valuable community resource on all things related to machine learning, deep learning, 3-D modeling, gaming, and more. We're always looking for driven people who want to make an impact in this space.

WHY WRITE FOR PAPERSPACE?

Make an impact, grow your personal brand, and get paid while doing it.

Our articles reach thousands of viewers each month who want to learn more about topics in AI. If you've been following our blog, you've probably seen articles like Ravi Munde's guide to building Dino Run, Harsh Sikka's tutorial on Building a Bacteria Classifier with fastai, or Sudharshan Babu's informational Guide to Synthetic Media.

We provide individualized support and feedback to all of our writers, both for writing and code. We're looking for pieces which are educational, insightful, and help people learn more about ML and related topics.

If preferred, we can also pay writers in GPU credit (free use of our GPUs).

WHAT SHOULD I WRITE ABOUT?

We're always looking for articles and tutorials on topics like:

• 3-D modeling, animation, rendering, etc.
• Explaining answers to popular questions (e.g. "Should I use PyTorch or TensorFlow?") in-depth
• Projects involving or focusing on specific ML/DL libraries (PyTorch, TensorFlow, Scikit-learn, etc.)
• Profiling / benchmarking recent models
• Natural language processing
• Computer vision
• Hot topics in AI/ML/DL
• Technical deep-dives
• Framework comparisons
• Toolset overviews
• Best practices
• How-to's

Don't have a topic in mind already? We always have a list of suggestions ready to go.

How do I get started? Just fill out our Google Form!

CONFIDENTIAL NOTE: Reports indicate that Paperspace pays $200-$300 per article. It is recommended that you discuss the rate(s) with the editor upon the acceptance of your pitch.

CONTACT INFORMATION:

• Submissions: Via the webform
• Website: https://www.paperspace.com/

TO HELP YOU CRAFT YOUR PITCH:

• Learn more about the publication: Paperspace is a high-performance cloud computing and ML development platform for building, training and deploying machine learning models. Individuals, startups and enterprises use Paperspace to iterate faster and collaborate on intelligent, real-time prediction engines. More information here.
• Read through a selection of recent articles/stories on its website.
• Check out our collection of pitch excerpts on this page and find more sample pitches at The Open Notebook and at SuccessfulPitches.com.
• Do not forget to end your pitch with (1) a short introduction about yourself; (2) a few lines highlighting your writing experience, relevant credentials and publication credits; and (3) links to your strongest work or portfolio, and online profile.

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