2

Remote Cement Quality Control Jobs in California

Hybrid work model: 60% on-site as needed, 40% remote. General Summary: The Project Scheduler leverages scheduling software to develop project plans and QA/QC, monitor, control, and update schedules ...

Hybrid work model: 60% on-site as needed, 40% remote. General Summary: The Project Scheduler leverages scheduling software to develop project plans and QA/QC, monitor, control, and update schedules ...

Showing results 41-60

Remote Cement Quality Control information

What is the difference between Remote Cement Quality Control vs Remote Concrete Testing Technician?

AspectRemote Cement Quality ControlRemote Concrete Testing Technician
CertificationsACI Certification, Quality Control CertificationsACI Certification, Concrete Testing Certifications
Work EnvironmentOffice-based, remote monitoring, report analysisField and lab testing, some remote reporting
Industry UsageManufacturers, suppliers, quality assuranceConstruction sites, labs, quality testing

Remote Cement Quality Control professionals focus on overseeing cement quality through remote data analysis and reporting, often working with manufacturers and suppliers. In contrast, Remote Concrete Testing Technicians perform physical testing of concrete samples, typically on-site or in labs, with some remote reporting. Both roles require similar certifications but differ mainly in work environment and specific job functions.

What are the most commonly searched types of Cement Quality Control jobs in California?

The most popular types of Cement Quality Control jobs in California are:

What are popular job titles related to Remote Cement Quality Control jobs in California?

For Remote Cement Quality Control jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Remote Cement Quality Control jobs?

Cities in California with the most Remote Cement Quality Control job openings:

Founding Strategic Project Lead

talentpluto

San Francisco, CA • Remote

$150K - $200K/yr

Full-time

Re-posted 19 days ago


Job description

Location: Remote (United States)

Work Model: Remote

Industry: AI data / frontier AI labs

Compensation: $150K-$200K base, plus equity and profit share

About the Company

Our partner is an early-stage, fast-growing AI data startup working with frontier AI labs and top voice-model companies to deliver specialized data sets, including voice, reinforcement learning, and environment data. Backed by leading investors and one of the fastest-growing companies in its cohort, the team hit a $1M run rate within its first several weeks. This is a rare ground-floor opportunity to join as the first external hire, with substantial equity upside and a clear path into senior leadership for someone who wants to build.

The Opportunity

As the founding Strategic Project Lead, you will own delivery end to end. You will source data through a global contributor network, run quality control, help build out the QC systems, manage customer relationships, and oversee delivery against lab requirements. Projects typically run a few weeks to a month and move fast. This is an operationally heavy, high-ownership role with long hours, ideal for someone who treats it as more than a job and wants exposure to the fast-growing AI data space. There is a clear growth path from this seat toward senior leadership and operations as the team scales.

Responsibilities
  • Own end-to-end delivery of data projects against lab and customer requirements
  • Source data through and manage a global contributor network
  • Run quality control and help build out scalable QC systems
  • Manage customer relationships and coordinate across all sides of delivery
  • Operate with high agency in an unstructured, fast-moving environment
Requirements
  • Roughly 2+ years of post-college experience, with openness to high-agency new grads who have interned at a human-data startup
  • High agency and a generalist mindset, comfortable wearing multiple hats
  • Comfort thriving in an unstructured, early-stage environment
  • Willingness to take on operationally heavy work and long hours
  • Bonus: experience at a human-data startup, a background in product management, or aspirations to one day found a company