International Field Operations Lead

Sieve•San Francisco, CA

1d•Onsite

About The Position

Sieve is a multimodal lab that curates high-quality training datasets for AI foundation models. We are building out our data operations internationally and need someone to establish and expand our on-the-ground operations in various global markets. This role involves setting up local data collection, hiring and managing local teams, and developing repeatable processes for international expansion. It is a hands-on operational role requiring direct field experience, not a remote coordination position. The successful candidate will travel as needed, solve immediate problems, and build the infrastructure for scalable international data collection.

Requirements

Direct on-the-ground operations experience, ideally expanding teams internationally
Track record hiring and managing people in the field (contractors, vendors, or full-time)
Comfort with ambiguity, travel, and building systems where none exist yet
Strong operator instincts: logistics, quality, people management, and follow-through
Clear communicator across time zones and cultures
Based in San Francisco or willing to relocate; able to travel internationally as needed

Nice To Haves

Experience in data collection, media production, field research, marketplace ops, or logistics in emerging markets
Prior work standing up ops in multiple countries
Familiarity with physical AI, robotics, or AI training data workflows
Language skills relevant to priority markets

Responsibilities

Stand up international ops: Help launch and expand on-the-ground operations in priority markets, including footage recording and related collection workflows.
Hire and grow local teams: Source, hire, onboard, and manage people in-market; build the staffing model as volume grows.
Own day-to-day field execution: Solve logistics, quality, scheduling, and vendor/partner issues so collection stays on track.
Build repeatable playbooks: Turn one-off market launches into documented processes for hiring, training, quality control, and escalation.
Partner with SF product and ops: Translate project requirements into field plans; feed back what’s working and what breaks in-market.
Scale carefully: Balance speed with quality, compliance, and contributor/operator experience as we expand.