2 месяца назад
Head of Data Collection Operations (AI Robotics)
150 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Head of Data Collection Operations (AI Robotics): Building and operating the data pipeline that turns warehouse and robot-fleet data into training sets, evaluations, and feedback loops with an accent on scalable collection, labeling, quality auditing, and delivery. Focus on designing staffing and vendor operations, tracking throughput and accuracy metrics, and resolving cross-functional bottlenecks that affect robot intelligence and safety.
Location: San Francisco, CA, United States
Salary: $150,000–$250,000 per year, plus equity.
Company
is an AI robotics company building autonomous supply-chain systems and generalist robots for warehouses, fulfillment, and commerce.
What you will do
- Own end-to-end data operations for ’s Brain, including data intake, collection, labeling, quality auditing, and delivery of training and evaluation datasets.
- Design scalable workflows, staffing plans, quality checkpoints, documentation, and standard operating procedures for in-house and vendor teams.
- Define and monitor throughput, accuracy, turnaround time, and cost-per-label metrics through dashboards and regular reporting.
- Manage external labeling and annotation vendors, including onboarding, training, performance management, and SLA delivery.
- Coordinate with warehouse data-collection teams to ensure consistent capture protocols across sites and robot fleets.
- Partner with research, engineering, supply-chain, and site-operations teams to resolve bottlenecks and close data-quality feedback loops.
Requirements
- 4+ years of experience in data operations, labeling operations, business or technical operations, or a similar high-volume operational pipeline role.
- Experience building and operating scalable processes involving data collection, annotation, labeling, or quality assurance.
- Experience managing vendor or BPO relationships and performance against SLAs.
- Strong ability to define KPIs, build reporting, and use metrics for operational decisions.
- Excellent cross-functional communication skills with research, engineering, and operations stakeholders.
- Ownership, resourcefulness, and comfort working with ambiguity in a fast-paced, high-growth environment.
Nice to have
- Experience with AI/ML data pipelines, data-labeling platforms, or model-evaluation workflows.
- Background in robotics, autonomy, warehouse operations, or supply-chain environments.
- Experience establishing or scaling a data-operations function from an early stage.
Culture & Benefits
- Unlimited flexible time off.
- Medical, dental, and vision insurance.
- Paid parental leave.
- Commuter benefits, including fully paid parking.
- Referral bonus, 401(k), and equity program.
- Culture focused on resourcefulness, humility, dependability, ownership, and ambitious problem-solving.
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