
51 - 200 employees
Founded 2003
💼 Consulting
🏥 Healthcare
⚖️ Legal
Consulting • Healthcare • Legal
Human Signal is a company that specializes in providing a data labeling platform known as Label Studio Enterprise. This platform is designed for automating and refining the data labeling process, integrating capabilities such as natural language processing (NLP) autolabeling, security, quality control, and compliance features. Human Signal focuses on preparing training data, fine-tuning large language models, and evaluating model performance for data science and machine learning teams. They offer a robust API and customizable workflows to optimize the entire AI development lifecycle across various use cases, including legal, medical, and retail sectors. The platform emphasizes secure data handling, being SOC2 certified and HIPAA compliant, ensuring data privacy and integrity.
🔥 20 hours ago
🇺🇸 United States – Remote
💵 $122.5k - $143.5k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💻 Solutions Engineer
👻 Ghost score 3%
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51 - 200 employees
Founded 2003
💼 Consulting
🏥 Healthcare
⚖️ Legal
Consulting • Healthcare • Legal
Human Signal is a company that specializes in providing a data labeling platform known as Label Studio Enterprise. This platform is designed for automating and refining the data labeling process, integrating capabilities such as natural language processing (NLP) autolabeling, security, quality control, and compliance features. Human Signal focuses on preparing training data, fine-tuning large language models, and evaluating model performance for data science and machine learning teams. They offer a robust API and customizable workflows to optimize the entire AI development lifecycle across various use cases, including legal, medical, and retail sectors. The platform emphasizes secure data handling, being SOC2 certified and HIPAA compliant, ensuring data privacy and integrity.
• Own the technical relationship across the entire customer lifecycle, from pre-sale through post-sale • Partner with Account Executives on strategic deals • Lead technical discovery, tailored demos, architecture reviews, and proof-of-concepts using real customer data and workflows • Drive technical onboarding, including installation, secure configuration, and best-practice deployment across cloud, on-premises, or hybrid environments • Architect integrations between Label Studio and customer AI/ML workflows, pipelines, storage, and enterprise systems • Build custom scripts, plug-ins, and APIs to extend Label Studio for unique customer requirements • Serve as the senior technical escalation point, resolving advanced issues with Product, Engineering, and Support • Deliver enablement, workshops, and documentation to make customer teams self-sufficient • Advise customer engineering, data, and AI/ML teams on adoption, expansion, and long-term value
• 5+ years in a customer-facing technical role such as Solutions Architect, Sales Engineer, Professional Services Engineer, or similar, for a highly technical product; ideally enterprise SaaS or ML/AI platforms • Experience on both sides of the sale is ideal • Built a data labeling pipeline, including data annotation, labeling workflows, or the broader ML lifecycle • Hands-on experience integrating SaaS platforms with ML pipelines • Deployed models to production, or engineered datasets for data science teams • Fluency in Python, REST APIs, and infrastructure tools including Linux/Unix and Docker; Kubernetes is a plus • Experience building against multiple client APIs and SDKs • JavaScript, CSS, and HTML are a plus • Track record of technical discovery, demos, and proof-of-concepts during sales cycles, followed by onboarding, implementation, troubleshooting, and custom development • Business acumen to translate customer problems into recognizable value propositions and anticipate objections • Executive presence and strong writing • Ability to work with Data Scientists, ML Engineers, and technical executives • Ability to juggle multiple complex accounts and competing priorities
• Variable compensation; anticipated On-Target Earnings of $175,000 - $205,000 USD when meeting objectives • Stock options • Comprehensive health benefits • Strong team culture rooted in transparency and collaboration
Apply Now🔥 20 hours ago
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