Level: Individual Contributor
Compensation: $75,000 - $110,000
Location: San Francisco, CA
About the Role

HumanSignal specializes in operationally complex, multimodal data collection and annotation - delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design through final delivery, running on-site and distributed expert workforces across 50+ knowledge domains, 30+ languages, and 75+ countries. Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label Studio Enterprise and built on a foundation of rigorous quality workflows, ethical sourcing, and full data security. This role sits at the operational core of that delivery engine - responsible for ensuring our clients get the highest-quality data on time, every time.

This role is not for everyone. HumanSignal Services operates at the intersection of frontier AI research and large-scale human data delivery - and the work is fast, demanding, and unforgiving of dropped balls. You'll own complex, high-stakes data programs end-to-end, managing expert workforces, navigating shifting customer requirements, and holding quality and delivery timelines simultaneously. There is no playbook handed to you. You will build it, break it, and rebuild it better. If you thrive under pressure, take personal pride in operational excellence, and don't quit when a project gets hard - this is the role for you
What You'll Do

The day-to-day is intense by design. You'll juggle multiple programs at once, each with its own contributors, quality standards, and customer expectations. You'll make hard calls with incomplete information, hold contributors and vendors accountable, and find creative solutions to problems that don't have obvious answers. The expectation is simple: own the outcome, no excuses. High performers here grow faster than anywhere else in the industry. The bar is high - and that's the point.
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