Technical Writer
Deepnote - Remote
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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Market context
- U.S. role benchmark (BLS OEWS)
- $55,390 U.S. median for this role
- Projected growth (BLS Employment Projections)
- -0.1% - Decline
Matched to SOC 25-2021 - Teaching and Education aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Technical Writer Remote At Deepnote, we're building the next generation of data analytics tools. A new type of platform where teams can explore, analyze, and present data from start to finish - together. We want to make data notebooks the focal point for any data-driven team. Content is a huge part of this mission. The best way to show the world what's possible with Deepnote is to create it: viral notebooks, hands-on guides, quirky templates, and stories that inspire. That's where you come in. 🚀 This role isn't for everyone - and that's okay! We're not looking for someone to simply write docs. We're looking for someone who gets excited about teaching, experimenting, and creating content that spreads. Someone who can take a dataset, a workflow, or a feature and turn it into something that both educates and delights. Could you please send us a few examples of your work as a technical writer? You can include links to your samples in the More info section. 🚀 ABOUT YOU - You love writing and explaining technical topics. You've published blog posts, taught classes, or built a portfolio (of notebooks) you're proud of. - You're fluent in English (C1+). - You know your way around data science: You clearly know SQL and Python and you're comfortable exploring workflows and analytics problems. - You've played with LLMs/AI-powered tools - from prompt-engineering chatbots to building data-driven copilots - and you're excited about their potential. - You understand the basics of how LLMs work
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