Head of Research, DataLab

Job not on LinkedIn

🕒 May 23

🇧🇷 Brazil – Remote

⏰ Full Time

🔴 Lead

👻 Ghost score 42%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Grupo Protege

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Define and lead Protege DataLab’s research strategy • Partner with Product, Engineering, and GTM to identify research opportunities tied to AI data quality, evaluation, and marketplace performance • Design and oversee experiments evaluating dataset quality, model performance, synthetic data workflows, and privacy-preserving methodologies • Build scalable systems for benchmarking, labeling quality analysis, and training data evaluation across AI modalities • Serve as a customer-facing research partner in sales, technical discovery, delivery, and customer strategy conversations • Translate ambiguous technical questions into research frameworks, measurable hypotheses, and actionable recommendations • Publish internal research findings influencing product decisions, customer strategy, and platform capabilities • Lead, manage, and scale researchers and data scientists • Establish rigor around experimentation, reproducibility, and research documentation • Represent Protege externally with customers, partners, and the AI ecosystem • Stay current with foundation models, evaluation methodologies, data infrastructure, and AI alignment research

🎯 Requirements

• Led impactful research initiatives in AI, machine learning, data infrastructure, or applied research environments where outcomes influenced product or business strategy • Built and managed high-performing research teams with autonomy, technical rigor, and fast execution cycles • Experience partnering directly with customers, GTM teams, or external stakeholders in applied technical settings • Developed frameworks for evaluating model performance, dataset quality, synthetic data, or large-scale experimentation systems • Experience in ambiguous, fast-moving environments • Ability to communicate complex technical findings to technical and non-technical audiences • Ownership of cross-functional initiatives spanning research, engineering, product, and go-to-market teams • Track record of translating research into practical systems, tools, or customer-facing impact • Experience with modern AI systems, foundation models, LLM evaluation workflows, or privacy-centric data methodologies • High judgment, strong prioritization skills, and comfort making decisions with incomplete information • Motivated by building from first principles and solving foundational AI infrastructure problems