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Strategic Projects Lead (AI)

75 000 - 110 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Strategic Projects Lead (AI): Managing end-to-end execution of multi-million-dollar AI data programs including RLHF and model evaluations with an accent on data quality, throughput, and workforce management. Focus on designing data pipelines, managing distributed expert contributors, and partnering with AI researchers to ensure high-quality ground-truth data.

Location: Must be based in San Francisco, CA

Salary: $75,000 – $110,000

Company

hirify.global builds platforms and tools like Label Studio for the creation, curation, and evaluation of high-quality data to power the future of AI.

What you will do

  • Own end-to-end execution of multi-million-dollar AI data programs, ensuring quality, throughput, and margins.
  • Design data pipelines from customer specifications through final delivery, including taxonomy and quality frameworks.
  • Manage and performance-manage 1,000+ distributed contributors, sourcing and coaching domain experts at scale.
  • Serve as the primary contact for AI lab researchers, providing reporting and identifying expansion opportunities.
  • Run daily internal war rooms to proactively manage quality issues, bottlenecks, and delivery risks.
  • Partner with Engineering, Product, and Growth to improve operational infrastructure and deploy AI automations.

Requirements

  • 2-4+ years of experience in consulting, finance, startups, or operationally intensive roles.
  • Strong analytical skills, with proficiency in SQL or Python preferred.
  • Track record of managing complex, cross-functional projects with measurable outcomes.
  • Entrepreneurial mindset and comfort building from scratch in ambiguous environments.
  • Exceptional communication skills and strong client-facing presence.
  • Location: Must be based in San Francisco, CA

Nice to have

  • 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.

Culture & Benefits

  • Fast-paced, demanding environment that rewards operational excellence and personal ownership.
  • High-growth trajectory for top performers within the frontier AI research space.
  • Inclusive work environment as an equal opportunity employer.

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