Senior Technical Writer, HumanSignal
$95-175k
The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge.
Data labelling for machine learning
Job no longer available
Data labelling for machine learning
21-100 employees
Job no longer available
$95-175k
The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge.
21-100 employees
Company mission
To help data scientists use data to teach ML/AI models how to make the best predictions.
Role
Who you are
- Three or more years experience writing developer-facing documentation and other forms of technical content for software applications
- You treat documentation as a product and focus on clarity and simplicity. You have strong empathy for the user reading the documentation
- You bring highly meticulous and efficient writing & editing skills
- Experience drafting and publishing documentation using static site generators and Git-based workflows
- You have machine learning domain knowledge, like familiarity with data scientist workflows, data labeling tools and processes, or common frameworks
- Comfortable reading and writing Python and Javascript
- Ability to understand source code written in Python and Javascript. Some experience developing software is a big plus
- Familiarity with cloud storage or deployment methods
- Experience with source control and CI/CD technologies (Git, Jenkins, Lambda, etc)
- Enjoy working at an open source company with fast-moving deadlines
- You have an understanding and vision of what makes for great documentation and know how to execute on that vision
- You're comfortable in ambiguity and managing both time and competing priorities in a dynamic development environment
- You’re excited to join a small but growing startup to shape the future of data labeling
What the job involves
- Design, create and maintain procedure, reference, and concept documentation for Label Studio and Label Studio Enterprise
- Collaborate with engineering, product, and the community team to identify opportunities for new and existing documentation
- Work with Sales and Marketing to prioritize requests for tutorials, how-to guides, blog posts, and other documentation improvements to address high-priority customer needs
- Along with our user community team you will have the opportunity to partner with the Label Studio community to identify pain points and common use cases to ensure that the documentation fits user needs
- Review and revise the following technical documentation for Label Studio & Label Studio Enterprise: UI text, API documentation, as well as SDK documentation for the Label Studio Python SDK and the Label Studio Machine Learning Backend SDK
- Play a role in assisting other teams with creating and contributing to educational content such as tutorials, or introductory videos to enable the customer learning journey to basic success with Label Studio, as well as support educational content for more advanced customization use cases
- Improve the customer onboarding and deployment documentation to shorten the "time-to-labeling" for the customer
- Within 1 month, you'll:
- Partner with engineering, product, and marketing teams to get up to speed on Label Studio and Label Studio Enterprise
- Organize existing documents/content and identify opportunities to improve internal and external documentation
- Get a sense for what projects are on the roadmap and create a plan to immediately impact the most urgent documentation needs
- Within 3 months, you'll:
- Partner with engineering and product to ensure documentation is complete with any new or updated feature releases
- Finalize a roadmap and schedule for upcoming docs and content releases
- Collecting customer & user feedback create a plan for improving on how our documentation is delivered
- Start to develop a vision for how to deliver best-in-class documentation for Heartex and Label Studio
- Within 6 months, you'll:
- Begin looking at the organizing principles and philosophy behind our documentation and suggest improvements that will create value for our users
- Start streamlining how our content is delivered so that users can find needed information in a faster more efficient way
- Propose ways to measure how documentation can reduce support requests
- As our technical writer be the user voice to define the future roadmap for documentation
Our take
A number of new industries are developing, and winning big, in the slipstream of the AI boom. One of them is data labelling: the process of identifying raw data and tagging it with labels that will provide informative context for the machine model to learn from. It is proving a lucrative business, and HumanSignal is one of a growing number of startups looking to capitalize on this.
HumanSignal’s principal product is Label Studio, a collaborative data labelling solution with a focus on streamlining team management, relevant access and data security. With industry leaders such as IBM, Nvidia and Facebook having already adopted this product, it has certainly made a splash thus far.
HumanSignal has substantial funding under its belt but will have to compete with a large number of new data-labelling startups - some of them enjoying similar early success. With many heralding data labelling as the new “gold rush”, and the industry spreading worldwide, the competition looks fierce - but the space will be rewarding for those that win out.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
May 2022
$25m
SERIES A
Jul 2019
$0.2m
SEED
Total funding: $25.2m
Company benefits
- Work from Anywhere
- Equity Options
- Inclusive Culture & Environment
- Annual Team Offsite
- Time off & Vacation
Company HQ
SoMa, San Francisco, CA
Leadership
Michael Malyuk
(Co-Founder)Previously Lead Software Developer at VYou and Cinematique.
Nikolai Liubimov
(Co-Founder & CTO)Previously CTO at Audio Research Group. Since then, has been a Senior Software Engineer at Huawei Technologies, and Yandex.
Max Tkachenko
(Co-Founder)Previously worked as a Freelancer in Photo, Video & Design for over 14 years.
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