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Curative Lab Jobs in California (NOW HIRING)

Sieve is an AI research lab focused on video data, aiming to solve the bottleneck in the growth of ... curation, and quality review • Build and improve QA processes to ensure data output meets the ...

SID.ai is a research lab focused on search, training models that can retrieve and reason over any ... curation to wandb. • Run small and large model experiments - yolo runs encouraged. • Work on ...

... innovation lab. Combining startup agility with HP's global scale, we're building intelligent ... curation, including dataset generation, labeling strategies, and quality checks that support ...

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Curative Lab information

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How much do curative lab jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for curative lab in California is $24.92, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $27.50 per hour, depending on experience, location, and employer.

What is a Curative Lab?

A Curative Lab is a laboratory facility operated by Curative, a healthcare company best known for its large-scale COVID-19 testing services. These labs process medical tests, most notably diagnostic tests for infectious diseases like COVID-19, using advanced equipment and methodologies. Curative Labs handle specimen collection, analysis, and reporting of test results, often focusing on rapid turnaround times to support public health needs. They may also be involved in research, development of new testing methods, and supporting healthcare providers with accurate diagnostics.

What are the key skills and qualifications needed to thrive as a Curative Lab technician?

To thrive as a Curative Lab Technician, you need a solid background in laboratory sciences, attention to detail, and typically an associate’s or bachelor’s degree in a relevant scientific field. Familiarity with laboratory information systems (LIS), PCR machines, and standard diagnostic testing protocols is essential. Strong organizational skills, teamwork, and effective communication help ensure accuracy and smooth workflow in the lab environment. These skills are crucial to maintain high-quality testing, support patient outcomes, and uphold safety and regulatory standards.

What are some common challenges faced by professionals working in a Curative Lab, and how can they overcome them?

Professionals in a Curative Lab often encounter challenges such as maintaining strict adherence to safety protocols, handling high volumes of diagnostic tests, and staying updated with rapidly evolving technology and regulatory standards. Effective communication within interdisciplinary teams and strong attention to detail are essential to ensure accurate results and efficient workflows. Overcoming these challenges typically involves ongoing training, collaboration with colleagues, and proactive engagement in quality assurance processes to uphold the lab's standards and support patient care.

What is the difference between Curative Lab vs Medical Laboratory Technician?

AspectCurative LabMedical Laboratory Technician
CredentialsTypically requires a medical laboratory science degree and certificationRequires an associate degree in medical laboratory technology and certification
Work EnvironmentLaboratories, hospitals, clinicsHospitals, diagnostic labs, clinics
Industry UsageUsed in diagnostic testing, research, and healthcare settingsPerforms diagnostic tests, analyzes samples, reports results

Curative Lab and Medical Laboratory Technician roles both involve diagnostic testing in healthcare settings. However, Curative Lab often refers to a broader organization or lab service provider, while Medical Laboratory Technicians are specific professionals performing lab tests. Both require certification and work in similar environments, but Curative Lab may encompass multiple roles within the lab industry.

What job categories do people searching Curative Lab jobs in California look for?

The top searched job categories for Curative Lab jobs in California are:

Infographic showing various Curative Lab job openings in California as of August 2026, with employment types broken down into 2% As Needed, 73% Full Time, 14% Part Time, 10% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $51,829 per year, or $24.9 per hour.

Data Operations Lead

Sieve

San Francisco, CA • On-site

Full-time

Re-posted 16 days ago


Job description

Job Summary:
Sieve is an AI research lab focused on video data, aiming to solve the bottleneck in the growth of applications powered by high-quality training data. The Data Operations Lead will manage the execution and scaling of the company's data operations platform, overseeing workforce management, QA processes, and driving growth initiatives.
Responsibilities:
• Operate and scale Sieve's internal data ops platform, including workforce management, task assignment, and QA workflows
• Drive platform growth: run acquisition campaigns, test new sourcing channels, and grow the user base through creative and scalable strategies
• Source, onboard, and manage a distributed human workforce for data annotation, curation, and quality review
• Build and improve QA processes to ensure data output meets the standards required by frontier AI labs
• Own product ops for the data platform. Work with engineering to ship tooling improvements, track operational metrics, and identify gaps
• Create documentation, SOPs, and training materials for operational workflows
Qualifications:
Required:
• Mixed technical and non-technical skillset, comfortable with data tooling, light scripting, and spreadsheet-level analysis
• Strong organizational skills and attention to detail; able to manage multiple concurrent work streams
• Growth mindset: experience running or contributing to user acquisition, sourcing campaigns, or platform growth efforts
• Bachelor's degree in CS, STEM, or equivalent practical experience
• In-person at our SF HQ
Preferred:
• Experience managing human-in-the-loop data operations or annotation pipelines
• At least 1 year of engineering experience or strong technical fluency
• Experience as an early hire at a startup or spearheading ops at an AI lab
• Familiarity with data quality frameworks or ML data pipelines
Company:
Sieve supplies video data to frontier AI labs. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.