Supply Chain BD Lead — Data Crowdsourcing Ops

Glint Tech Solutions; Los Angeles (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

Glint Tech Solutions is seeking a passionate, execution-driven Supply Chain BD leader to expand data collection scenarios for embodied robotics. You will help build and operate a crowdsourcing model, manage a diverse data-collector network, and ensure high-quality multimodal data for AI model training in real-world environments.

The role focuses on expanding data acquisition opportunities across factories, households, retail, healthcare, and logistics, with an emphasis on scalable operations and

Qualifications

• Bachelor’s degree or above in CS, Communications, Automation, Data Science, Management or related fields.
• 3+ years in supply chain, BD, operations, project management, or data management, incl. at least 1 year of team management.
• Crowdsourcing models or sharing economy experience preferred; backgrounds in AI data sector valued.
• Hands-on crowdsourced operations in ride-hailing/local on-demand services are highly preferred.

Responsibilities

• Plan and execute expansion of data collection scenarios for embodied robots in real-world environments (factories, households, retail, healthcare, logistics).
• Build and operate a crowdsourcing data collection model and manage a diverse data-collector supply chain.
• Establish systems for recruitment, training, task dispatching, incentives, and retention to ensure a stable data supply.

Skills

Supply chain

Business development

Operations

Project management

Data management

Team management

Crowdsourcing

Sharing economy

Education

Bachelor's degree or above

Job description

Glint Tech Solutions is seeking a passionate, execution-driven Supply Chain BD leader to expand data collection scenarios for embodied robotics. You will help build and operate a crowdsourcing model, manage a diverse data-collector network, and ensure high-quality multimodal data for AI model training in real-world environments.

The role focuses on expanding data acquisition opportunities across factories, households, retail, healthcare, and logistics, with an emphasis on scalable operations and