New York
Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. HumanSignal is looking for a high-performing Sales Development Representative to help us reach the world's most innovative AI companies. You'll be opening doors with frontier labs, tech giants, and cutting-edge robotics companies who are building the future of AI—and who need the purpose-built training data that only we can provide. This isn't typical SDR work. You'll be prospecting into organizations like Anthropic, OpenAI, Google DeepMind, Meta, Tesla, Nvidia, and others at the absolute forefront of AI research and development. Your outreach will reach ML researchers, AI engineering leaders, and executives building breakthrough applications. The technical sophistication and strategic importance of these accounts make this one of the most exciting SDR roles in enterprise tech. You'll be the first point of contact for companies that will define the next decade of technology. Your ability to craft compelling messaging, understand technical concepts, and engage senior executives will directly impact HumanSignal's growth trajectory. You Will: • Generate qualified pipeline: Identify and create new business opportunities by prospecting into frontier AI labs, major tech companies, and innovative robotics firms, • Master personalized outreach: Write highly tailored cold email and LinkedIn messages that resonate with ML engineers, AI researchers, and technical executives, • Book strategic meetings: Conduct high-level qualification conversations with senior leaders and connect them with our Account Executive team, • Understand the landscape: Develop deep knowledge of AI companies, their data needs, and how our Data Creation Laboratories and Label Studio platform solve critical challenges, • Communicate value: Articulate why purpose-built, human-created datasets are essential for the next generation of AI applications, • Collaborate cross-functionally: Work closely with sales, marketing, and product teams to refine messaging and targeting strategies, • Bachelor's degree or equivalent work experience, • 1-2+ years of SDR, BDR, or sales experience in a fast-paced enterprise software, SaaS, or technical environment, • Demonstrated track record of top performance and consistently exceeding quota, • Exceptional written and verbal communication skills with ability to tailor messaging to technical audiences, • Research skills and intellectual curiosity to understand complex technical concepts quickly, • Ability to multitask, prioritize effectively, and thrive in a high-energy environment, • Experience prospecting into large, complex technical organizations, • Process-oriented mindset with strong organizational skills, • Genuine interest in AI, machine learning, and emerging technologies, • Familiarity with how AI models are trained and the role of training data, • Experience using sales tools like Salesforce, Outreach, LinkedIn Sales Navigator, and ZoomInfo, • Self-motivated and competitive spirit with excitement for sales metrics and friendly competition, • Collaborative team player who welcomes feedback and coaching You're not booking meetings for boring enterprise software—you're connecting with the people building AGI, autonomous robots, and AI systems that will reshape society. Every conversation you have is with someone at the cutting edge. You'll learn about AI from the inside, build relationships with industry leaders, and develop skills that will accelerate your career in the most important technology sector of our generation. About HumanSignal At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require. We believe the next frontiers in AI won't be unlocked by scraping what's left on the web—they'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability. We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future. We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status. 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. The base cash compensation range is $60,000 to $110,000 USD plus commission. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.
