Own end-to-end execution of multi-million-dollar AI data programs, managing distributed expert workforces and ensuring high-quality data delivery for frontier AI research teams. Requires 2-4+ years experience, strong analytical skills, and SQL/Python proficiency.
75k – 110k
On-site2+ YOEBusiness Operations
About the role
What You'll Do
Own end-to-end execution of multi-million-dollar AI data programs, directly accountable for data quality, throughput, margins, and customer satisfaction
Design and manage data pipelines from customer specifications through final delivery, including taxonomy design, quality frameworks, and incentive structures
Manage and performance-manage 1,000+ distributed contributors — sourcing, vetting, training, and coaching domain experts at scale
Serve as the primary client contact for AI lab researchers: deliver consistent reporting, anticipate needs, and identify opportunities for program expansion
Run daily internal war rooms to stay ahead of quality issues, bottlenecks, and delivery risks
Partner cross-functionally with Engineering, Product, and Growth to build and improve operational infrastructure
Deploy AI automations and data-driven tools to improve output quality and pipeline efficiency
Required Qualifications
2–4+ years in consulting, finance, startups, or operationally intensive roles
Strong analytical skills; proficiency in SQL or Python preferred
Track record managing complex, cross-functional projects with measurable outcomes
Entrepreneurial mindset; comfortable building from scratch in ambiguous environments
Exceptional communication skills and client-facing presence
Preferred Qualifications
Technical or STEM degree (CS, Data Science, Engineering, or related field)
Experience managing distributed workforces or marketplace operations
Exposure to AI data, RLHF, or model evaluation workflows
Background in investment banking, private equity, or management consulting
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