About this role
ABOUT THE ROLE
You will ensure engineering teams get the right data they need—high-quality tasks and evaluations—by crafting and executing high-value Human Data projects. You sit at the intersection of model teams and data operations: partnering with engineering, designing projects that capture meaningful signals, and driving measurement of data impact. This is a hands-on role for people who understand training and evaluation deeply and want to influence data strategy.
RESPONSIBILITIES
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Partner with model and engineering teams to understand needs and translate them into high-value data projects and evaluation strategies.
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Own end-to-end delivery of critical data and evaluation projects that capture meaningful training signals and support rapid model development.
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Leverage AI agents and existing platforms to measure data effectiveness and quantify impact (data yield, eval lift, usage).
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Maintain rigorous data integrity and truthfulness, including validation processes for factual accuracy; prioritize quality over quantity.
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Research and apply techniques for data collection, annotation, generation, and multi-modal integration.
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Shape Grok’s behavior and domain performance through targeted data work; improve annotation workflows using agents and no/low-code approaches where helpful.
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Manage plans that shape model behavior via data management, optimization, and analysis, including resources and timelines.
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Act as a liaison between engineering, technical staff, and tutoring / Human Data teams to drive alignment and knowledge sharing.
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Collaborate with Human Data Ops and stakeholders to scale projects, share learnings, and contribute to demand forecasting; report status, insights, and blockers for rapid decisions.
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BASIC QUALIFICATIONS
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Bachelor’s degree, or 4+ years of relevant experience in lieu of a degree
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Experience collaborating with cross-functional teams (engineering, research, product, or annotation/operations groups)
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Demonstrated experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems
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PREFERRED SKILLS AND EXPERIENCE
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Degree in engineering, computer science, data analysis, or a re