
10,000+ employees
Founded 1971
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Artificial Intelligence • B2B • SaaS
Grupo Protege is an AI training data platform that connects AI developers with high-quality, ethically sourced training data. It serves both AI developers by providing a vast and rich collection of data for model training and data holders by enabling them to monetize their data while maintaining governance and control. The platform aims to streamline the data procurement process significantly, making it easier for developers to access the data they need efficiently.
🔥 40 minutes ago
Where this job comes from
Posted on Grupo Protege's careers page, not through a job board
First seen by Remote Rocketship 40 minutes ago

10,000+ employees
Founded 1971
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Artificial Intelligence • B2B • SaaS
Grupo Protege is an AI training data platform that connects AI developers with high-quality, ethically sourced training data. It serves both AI developers by providing a vast and rich collection of data for model training and data holders by enabling them to monetize their data while maintaining governance and control. The platform aims to streamline the data procurement process significantly, making it easier for developers to access the data they need efficiently.
• Shape and deliver healthcare AI assessments around customer decisions • Translate customer goals into assessment scopes, success criteria, delivery plans, and technical/commercial assumptions • Coordinate DataLab, engineering, commercial teams, and data partners through delivery stages • Coordinate partner specifications and data-readiness checks across EHR, claims, imaging, pathology, and text sources • Serve as primary delivery contact and communicate technical decisions, progress, risks, and trade-offs to customers • Assess technical feasibility and recommend scope, source, or execution options based on value, effort, risk, and capacity • Coordinate data-quality, privacy, scientific, and technical readiness reviews • Manage changing requirements and competing projects, recommending priorities and communicating impacts • Build reusable playbooks for intake, feasibility, QA, partner handoffs, escalation, and acceptance • Prioritize process and tooling improvements using delivery evidence • Coordinate results delivery, customer acceptance, and handoff into subsequent assessments or reruns • Establish delivery cadence, baseline effort and rework, and identify delivery constraints • Lead customer deliveries through milestones and acceptance checkpoints • Recommend prioritized delivery roadmaps with process or tooling investments
• Experience shaping and delivering complex customer or partner engagements • Ability to translate ambiguous needs into feasible solutions and concrete outcomes • Experience coordinating technical, operational, and external stakeholders without direct authority • Experience managing changing requirements and difficult timelines while maintaining customer trust • Experience building playbooks or operating processes adopted by others • Ability to interpret technical evidence and work effectively with technical specialists • Healthcare data experience is optional • Experience with AI evaluations, ML products, or enterprise data delivery is optional • SQL, Python, and API tooling are helpful but not required
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