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Remote Quality Control Jobs in California (NOW HIRING)

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 ...

Manage multiple projects simultaneously, ensuring quality control throughout each project's life ... this remote position is $85,000 to $110,000 per year. Base pay offered may be higher or lower ...

Showing results 41-60

Remote Quality Control information

What is a remote quality control?

A Remote Quality Control job involves monitoring and ensuring the quality of products, services, or processes from a remote location. Responsibilities may include reviewing data, conducting virtual inspections, analyzing compliance with standards, and providing feedback for improvements. These roles are common in industries like manufacturing, software development, customer service, and healthcare. Strong attention to detail, analytical skills, and familiarity with industry-specific quality standards are essential. Remote tools and digital communication are used to collaborate with teams and document findings.

Are remote quality control jobs hard to get?

Remote quality control jobs can be competitive, often requiring attention to detail, relevant experience, and sometimes certifications. Success depends on the industry, the company's requirements, and the applicant's skills in inspection, testing, and documentation.

What does a remote quality control do?

A typical workday in a Remote Quality Control role involves conducting inspections or audits of products, processes, or data through digital platforms, reviewing documentation, and identifying areas for improvement based on established quality standards. You can expect to interact frequently with team members via email, video calls, or project management tools to discuss findings or resolve issues. While most tasks are completed independently, collaboration and timely reporting are key parts of the workflow. Depending on the company or industry, there may also be opportunities to contribute to process improvement initiatives and participate in ongoing training or professional development. Remote Quality Control positions offer a blend of structured routines and collaboration, allowing for a flexible and engaging work environment.

What are the key skills and qualifications needed to thrive in remote quality control?

Excelling in a Remote Quality Control role requires a strong attention to detail, analytical skills, and experience with quality assurance processes or relevant industry standards. Familiarity with digital QA tools, databases, reporting systems, and certifications such as Six Sigma or ISO 9001 are often valuable. Excellent communication, time management, and self-motivation are important soft skills for collaborating across virtual teams and maintaining productivity while working independently. These abilities ensure consistent product or service quality, clear documentation, and effective remote teamwork—critical to success in remote quality control positions.

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

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

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

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

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

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

Infographic showing various Remote Quality Control job openings in California as of August 2026, with employment types broken down into 67% Full Time, 22% Part Time, 5% Temporary, and 6% Contract. Highlights an 100% Remote job distribution.

Founding Strategic Project Lead

talentpluto

San Francisco, CA • Remote

$150K - $200K/yr

Full-time

Re-posted 18 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