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4 дня назад

Data Quality & Annotation Lead (AI Robotics)

100 000 - 120 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Quality & Annotation Lead (AI Robotics): Building quality standards, audit workflows, annotation operations, and dashboards for human demonstration data used to train robot AGI, with an accent on episode acceptance criteria, annotation throughput, and inter-rater reliability. Focus on scaling quality operations from approximately 15 to more than 100 operators across four sites, managing an overnight annotation team, and maintaining reliable feedback loops with research and engineering.

Location: San Francisco, CA; in-person work at the San Francisco HQ with regular time at collection sites.

Salary: $100,000–$120,000 per year, plus equity.

Company

hirify.global is an AI robotics company building autonomous supply-chain systems and robot AGI for warehouses and commerce.

What you will do

  • Own and continuously update episode acceptance criteria, rubrics, and auditable quality standards for every task family.
  • Take over annotation and episode review, then build scalable workflows and a team to manage the queue.
  • Establish and manage a likely Philippines-based remote annotation team with an overnight review turnaround SLA.
  • Design sampling-based QA audits, coverage targets, and inter-rater reliability checks.
  • Run operator quality scorecards and feedback loops, delivering quality signals to site supervisors within 24 hours.
  • Define quality metrics and build operational dashboards while partnering with analytics, research, and engineering.

Requirements

  • 3+ years in data operations, annotation or labeling operations, or data-collection QA for ML systems; robotics, autonomy, or teleoperation experience is strongly preferred.
  • Experience building quality standards, rubrics, SOPs, and QC workflows from scratch.
  • Experience managing remote, offshore, vendor, or BPO annotation and review teams against SLAs.
  • Ability to deliver direct quality feedback, handle edge cases, and make pragmatic decisions under ambiguity.
  • Data fluency with SQL, BI tools, or AI-assisted reporting, including the ability to own and validate operational metrics.
  • Ability to work in person from the San Francisco HQ and regularly visit collection sites.

Nice to have

  • Familiarity with imitation learning and robot-learning data.
  • Experience scaling annotation or rater teams, including pods, shift leads, and inter-rater reliability programs.
  • Experience selecting offshore annotation vendors or establishing direct offshore teams with EOR and timezone-shifted workflows.
  • Multi-site operations experience.

Culture & Benefits

  • High-intensity, fast-moving environment focused on robotics, AI, and autonomous supply chains.
  • Unlimited flexible time off.
  • Medical, dental, and vision insurance.
  • Paid parental leave, commuter benefits, and paid parking access.
  • 401(k), equity participation, and referral bonuses.

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