365 DataScience is a famous education platform with around 2 million learners. They hire freelancer writers to write on different technical and nontechnical data science-related topics. They pay around 200 $ per article.

You can write on data science career advice, practical machine learning, SQL, Python programming, and other related data science topics. You can check their blog here:

To apply for writing you can approach the founder or the heading of marketing. You can find their contacts on the 365 DataScience.

ProjectPro is a programming platform that offers end-to-end projects for data scientists and software engineers. It has more than 1.5 million learners and you can write on various data science technical topics. It offers around 100 $ for your data science article. Topics that you can write about include:

• Big Data
• Data Science
• Machine Learning
• Deep Learning
• Artificial Intelligence
• MLOps
• AWS, Azure, and GCP
• Cloud Computing
• Python, and R Programming.

The Arctype Blog shares unique stories from developers to help and inspire other developers. Learn how to contribute to our blog which has been featured on the DZone front page and Hackernoon to millions of readers.

This will be a good place to publish your blogs if you are SQL and database lover. They pay around $150 per article with the possibility of bonuses if your article performed very well. Here are five categories that their blog focuses on:

• SQL
• Databases
• Analysis
• Dashboards
• Advice for developers

Airbyte is an open-source data integration engine that helps you consolidate your data in your data warehouses, lakes, and databases. Airbyte is always looking for data engineers to share their knowledge through blog articles. It is preferred that the writers are the same as the audience of Airbyte, notably:

• Data engineers.
• Data analysts.
• Backend developers.

If you would like to publish blogs about data engineering, data analysis, and backend development this will be a good place for you. They pay for blogs of 1500 words around 900 $.

Contentlab is a technical content creator services provider. Simply, Contentlab creates content that tech audiences actually read. If you’re a developer that likes to write, or has thought about writing, and you appreciate a culture that asks “why not”, then you’ve landed in the right place.

This site allows writers to write about various technical topics in data science and AI. They pay around 500 euros per article.

Draft.Dev is at the intersection of software engineering and writing. They provide high-quality technical content that resonates with software developers.

If you’re a software developer or data scientist and you want to build your personal brand while getting paid to write about interesting technical topics, you’ve come to the right place. They create content that will be read by a wide range of readers around the world.

This site allows writers to write about both technical and nontechnical topics related to data and AI. It pays around 350 to 500$ per article.

Neptune.ai mission is to make data scientists’ work more efficient providing them with an easy way to track their work and collaborate. Their ambitious goal is to build a data science collaboration standard.

They are searching for ML practitioner writers. So if you’re a Data Scientist or an ML Engineer, and you’re experienced in both training models and moving them to production then you are encouraged to apply to write for them.

Neptune.ai pays between 300 and 600$ per article depending on the length and the topic of the article. You