Pearl (the parent company of JustAnswer) is building a category-defining enterprise business at the intersection of AI and professional human expertise. One of our most important bets is AI Human Data Services: Expert data products that accelerate frontier model development - data that goes beyond generic labeling and commodity reinforcement learning through human feedback (RLHF) into high-signal, professional-grade work that materially improves model behavior. AI labs are moving from models that “know things” to models that “do things.” That shift demands training and evaluation data that is harder, longer-horizon, and more domain-specific: PhD-level human evaluations, expert preference selection, verifiers, rubrics, agentic task environments, and multimodal workflows. Pearl is uniquely positioned to win here because we have a large, liquid network of licensed professionals (>20,000 professionals), an operating platform built for high-trust expert work over the last 20 years, and multimodal production capabilities across chat, voice, and computer-use style tasks. We need a AI data service entrepreneur/intraprenuer to discover where we can have maximum product-market fit and then build on early AI Data Services traction to build a durable product line: a repeatable set of data offerings, a world-class quality and evaluation system, and a delivery engine that frontier labs trust with their most important training and evaluation problems. This is not a quota-carrying sales role. It’s a product-and-operations leadership role with deep customer intimacy - owning the end-to-end data product lifecycle from discovery to specification to production to quality to expansion. We believe the ideal leader is someone who has either: Owned procurement / partnerships for custom AI training or evaluation data inside a major AI lab (or equivalent model-building org), or Successfully brought to market high-end custom data programs at a leading data provider (e.g., Scale, Appen, Handshake, or similar), with firsthand experience of what differentiates “elite” data from commodity output
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Job Type
Full-time
Career Level
Director
Education Level
No Education Listed