The power of prediction starts with HumanSignal. We build software that helps people do what only they can do – give meaning
Data fills our modern world. It flows prolifically inside organizations, customer interactions, through product usage, environmental research, healthcare imaging, and beyond. What if we could use any of that historical data to predict the future? The fact is, in most cases we can make predictions through Machine Learning and AI, but to do so in a meaningful and impactful way, historical data needs to be accurate, comprehensive, and absent of bias.
In order to make the best predictions, we believe internal teams with domain expertise should be responsible for annotating and curating data. It's called data labeling, and it’s a process of real people giving meaning to the information they see on the screen. HumanSignal was founded to take data labeling to the next level.
We believe that data labeling is a team sport. Data scientists, subject matter experts, engineers, operations, and annotators must work collaboratively to ensure quality results and an efficient process. That’s why we created Label Studio, which has quickly become the most popular open source data labeling platform with a 250K+ users around the world and millions of labeled samples, alongside a community of thousands of data scientists sharing knowledge and working to advance data-centric AI.
In late spring 2022, HumanSignal raised $25 million in Series A funding, bringing our total funds raised to $30 million from notable investment partners Redpoint Ventures, Unusual Ventures, Bow Capital, Swift Ventures, as well as angel investors.
HumanSignal is a fully distributed organization with people all over the world. We have team members in North America, Europe, and South America across 6 countries.
About the Opportunity
HumanSignal is seeking a Machine Learning Evangelist to support the growth of Label Studio, the most popular OSS data labeling platform with 15,000+ GitHub stars and more than 12,000 community members in slack. The rapid adoption of LLMs and foundation models has lit up our space, and we’re looking for an expert to help ML engineers and data scientists apply data-centric strategies to the new generative AI workflows and stack. You’ll have the opportunity to make a big impact at the center of an engaging problem space by driving technical content creation, traveling & speaking at popular events, engaging with users in our community channels, and social media engagement.
This is an ideal role to advance your career, with opportunities to partner closely with our CTO and engineering team, gain exposure to the latest AI trends and technologies, and network with leading data scientists and ML engineers in our growing open source community. You’ll be part of the open source Community team, reporting to the VP of Marketing & Ecosystem, serving as a technical strategist and technical content creator for the marketing and community team. As part of a fast-growing startup in the AI space, you’ll have an opportunity to build your portfolio of content with demonstrable success metrics, access to an established platform & readership to share your content, as well as opportunities for career advancement on the Community team.
Can you debate LLM fine tuning techniques? Do you enjoy exploring new technologies and building demos? Do you have a passion for writing and speaking? If this sounds like you, we want to hear from you!
Feel free to try Label Studio for yourself.
You’ll Bring:
- A technical or scientific background in Machine Learning and Data Science, with a strong understanding of and passion for distilling knowledge about the ML/AI pipeline and technology stack. Topics include LLMs & Generative AI, data quality and data labeling, and keeping an eye on rapidly emerging technologies in the space.
- Knowledge of the Data Scientist and ML Engineer personas, including their workflows, problems to solve, places they go/read, and popular technologies they are using.
- Excellent communication skills, especially when it comes to articulating technical concepts through written blog posts, social posts, tutorials, and live/recorded video presentations and demos. Ability to adapt your communication style to the audience, channel, or situation.
- Enthusiasm for social media and implementing content distribution strategies across channels, including popular ML/AI newsletters, ML/AI community slacks/discords and forums, Reddit groups, LinkedIn groups, Twitter influencers, HackerNews, popular GitHub repos, etc.
- Self-motivated and highly efficient working in a remote first environment.
- 3+ years of relevant work experience.
- Bonus: Experience working in a CMS (content management system), Google Analytics, Discourse Forums, and HubSpot (or other email marketing system). Experience contributing to an OSS project.
Your first 90 days:
- Get up to speed with the Label Studio platform and the related ecosystem.
- Begin publishing content to the Label Studio blog, YouTube and social channels.
- Research, learn, and write the latest research topics in ML and how they relate to the Label Studio Community.
- Collaborate on technical content strategy and establish a content calendar.
- Identify relevant industry events and apply for speaking opportunities.
At 3-6 months:
- Be a proficient user of Label Studio, able to create tutorials for more complex use cases, advanced topics, and popular technology integrations (genAI, ML models, etc.)
- Regularly publish technical content relevant to Label Studio and our users (Data Scientists, ML Engineers): blog posts, webinars, videos, guides, and conference talks.
- Be active on our social media channels and begin growing our audience through engaging content and distribution strategies.
- Working with the marketing team, regularly analyze the performance of our content—including topics and channels—to optimize our strategy and content calendar.
- Drive conversations and engagement with our community members, help them learn new things and excel at their projects.
- Build relationships with adjacent machine learning and data science technology communities, including developer relations/evangelists counterparts.
At 6+ months:
- Be the technical expert and advisor to the marketing team; help drive thought leadership strategy and perspective on the quickly evolving AI industry.
- Take ownership of and drive the technical content calendar. Begin building a bench of contributors to expand our efforts, including community members and users, freelance writers and data scientists.
- Build an established platform for yourself and HumanSignal / Label Studio across social channels, conferences, and relevant communities.
- Collaborate with relevant ML/AI technology communities to drive integrations, co-market content, speaking opportunities, etc.
- speaking at relevant conferences and events,
- writing regular content for the Label Studio blog and notable industry websites,
- collaborating with partner communities in developing novel integrations.
- Bring new ideas and strategies, and work cross-functionally within HumanSignal to drive company-wide awareness and growth metrics.
What to expect for the interview process
- Application & cover letter: Please provide links to relevant writing samples, OSS repos, videos, or social media posts to support your application. If public samples are not available, please be prepared to share a private portfolio or include details about your relevant communications experience in your cover letter.
- Interviews: You should expect to participate in 5 virtual interviews to complete the process for this role, including a screen by our talent leader, the hiring manager, peers and leadership.
- Exercise: Depending on the availability and relevance of your public content (writing samples, recordings of presentations, etc.), we may ask you to participate in a technical writing exercise, in which case we’ll provide a prompt for you to draft a detailed outline of a blog post or tutorial to assess your technical acumen, structured thinking, and communication style.
It is an exciting time at HumanSignal, we are a growing startup and at this stage we are constantly evolving. While we have put a lot of thought into your first and most important initiatives, it’s only an example and something we will work on together. We're always learning and growing, so like us this role will evolve and expand. We hope that this opportunity sounds exciting to you and that you consider joining us on our journey!
At HumanSignal
While our community and customers enjoy our products, we understand it is our team who make that possible. That is why we want to support you in doing your best work. To explore more about our team please visit the about our team page.
We hope you are interested in our opportunities and encourage you to apply even if you are not sure you fit all of the requirements. When applying please include: A short document covering of your experience & skills, such as a resume or linkedin profile. If you have a cover letter expanding on your background and why HumanSignal is of interest to you, even better, though a cover letter is not required & will not impact your application status. When we receive your application, we’ll get back to you about the next steps.
HumanSignal is an Equal Opportunity Employer. We are committed to building an organization that welcomes diverse backgrounds and lifestyles. Our goal is to create an inclusive work environment that is equitable and where everyone feels they belong. We foster open and transparent communication and a workplace where discrimination and harassment are not tolerated. If you need any accommodations or assistance to make your interviews more accessible please do not hesitate to reach out to us.
We do not discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences.
At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe.
