AI Evangelist and Community Manager

About SuperAnnotateSuperAnnotate is a fast-growing, Series B startup revolutionizing the field of AI-data Infrastructure. We specialize in providing cutting-edge data pipeline solutions for Machine Learning, LLM, and GenAI solutions to large enterprise clients, helping them leverage the power of AI to transform their businesses. SuperAnnotate has a fully customizable platform for building annotation tools and workflows that AI projects demand—while unifying the management of all teams, vendors, and data in one place. We’re very proud to have products that are loved by our customers, resulting in us being listed as the highest-ranked platform on G2.The Impact You’ll MakeAs AI Evangelist & Community Manager, you will define how AI Product Managers, ML teams, data scientists, and the broader AI ecosystem understand the importance of annotation, high-quality training and evaluation data, and human feedback for developing enterprise and frontier AI. By partnering with leading AI influencers, educators, and technical creators, you’ll amplify SuperAnnotate’s message including driving engagement at in-person events and community meetups. You’ll design and execute community programs, educational content, and technical narratives that help practitioners learn how human review elevates AI performance. Your efforts will build a vibrant community that champions SuperAnnotate’s pivotal role in scaling high-performing AI solutions.This is a hybrid opportunity in San Francisco, CA.What You’ll DoLead SuperAnnotate’s external technical voice, creating narratives, demos, and content that shape how data science teams and ML teams understand the role of high-quality training and evaluating data in AI. Collaborate closely with Marketing, PMM, Sales, and ProductBuild strategic relationships with top AI influencers, educators, researchers, and creators to amplify SuperAnnotate’s presence across social platforms, events, and technical communitiesServe as an on-site representative at conferences, AI meetups, and partner events - delivering talks, hosting sessions, and driving strong event registrations and engagementBuild ML developer programs, hands-on tutorials, and educational partnerships (e.g., Coursera, DeepLearning.AI) that teach modern workflows for building AI and agents at scale. Drive community growth by launching initiatives, content tracks, and collaborations that deepen engagement with practitioners building real-world AI systemsWhat You’ll Bring3-6+ years in AI evangelism, DevRel, data science marketing, or technical advocacy, with strong experience speaking to ML engineers, data scientists, and AI product managersDeep understanding of data-centric AI, annotation workflows, model evaluation, and the end-to-end ML development lifecycleProven ability to build and maintain relationships with influencers, creators, educators, and technical community leadersExceptional communication skills - on stage, in video, on social channels, and in developer-facing written contentExperience producing technical content: tutorials, demos, webinars, blog posts, event talks, or educational modulesA track record of driving community engagement, audience growth, or program adoption across AI or developer ecosystemsStrong cross-functional collaboration skills with Sales, Product, and Marketing to align messaging and support GTM initiativesNice To HaveExisting relationships or prior collaborations with well-known AI creators, educators, or technical influencersExperience producing video content, livestreams, podcasts, or technical walkthroughs for machine learning engineering or MLOps audiencesBackground working with Coursera, DeepLearning.AI, or other technical education platforms to create or distribute AI contentHands-on experience with computer vision pipelines, multimodal AI workflows, or LLM evaluation frameworksPrior work in fast-paced AI startups. Comfort hosting community forums, office hours, Discord/Slack channels, or meetup groupsStrong understanding of data tooling, data labeling operations, or evaluation methodologies used in production ML teamsOnly shortlisted candidates will be contacted for an interview!Equal OpportunityWe are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.