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Remote
Remote only
Real-world data is the competitive edge in AI.
HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.
We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.
We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.
If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.
We're looking for a Solutions Architect to join our growing revenue organization. In this role, you'll own the technical relationship across the entire customer lifecycle, pre-sale through post-sale.
You'll be the technical partner behind our most strategic enterprise accounts, from first conversations through production scale. Working alongside Account Executives, you'll lead technical discovery, demos, and proof-of-concepts, then carry that same solution through onboarding, workflow design, integration, and ongoing optimization. You'll be your customers' trusted technical advisor at every stage of their Label Studio Enterprise journey.
Label Studio is a deeply technical product, used by Data Scientists and ML Engineers as core infrastructure for their work. To succeed here, you'll need a real understanding of data labeling and the role it plays in model performance. You'll work directly with ML Engineers, Data Scientists, and MLOps teams to architect solutions that hold up in production.
What You’ll Do:
We are hiring for this role across North America. Base Salary is targeted between $122,500 - 143,500 USD (based on experience and skills). This role also qualifies for variable compensation; anticipated On-Target Earnings if an employee is meeting objectives are $175,000 - $205,000 USD. This range is provided by market data and is in good faith. 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. We also offer stock options, comprehensive health benefits, and a strong team culture rooted in transparency and collaboration. Join us!