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Curative Lab Jobs in California (NOW HIRING)

DatologyAI

Research Engineer

Redwood City, CA · On-site

$180K - $300K/yr

At DatologyAI, we've built a state of the art data curation suite to automatically curate and ... lab or equivalent academic experience * Strong background in machine learning systems, including ...

Sieve

Data Operations Lead

San Francisco, CA · On-site

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

Research Engineer

San Francisco, CA · On-site

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 ...

AfterQuery

Marketing Lead

San Francisco, CA · On-site

$160K - $220K/yr

About AfterQuery AfterQuery is an applied research lab curating data solutions for foundation model development. We serve every frontier AI lab with the mission of delivering the best data to power ...

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Curative Lab information

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$9

$24

$44

How much do curative lab jobs pay per hour?

As of Aug 12, 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 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 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 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 are popular job titles related to Curative Lab jobs in California? For Curative Lab jobs in California, the most frequently searched job titles are:
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:
Curative Lab jobs near you
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, 13% Part Time, 2% Temporary, and 10% Contract. 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.

Research Scientist, Agentic Data & Benchmarking

MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)

Sunnyvale, CA • On-site

Full-time

Re-posted 5 days ago

Job description

Job Summary:
MBZUAI (Mohamed bin Zayed University of Artificial Intelligence) is a dedicated research lab focused on advancing research in AI. The role involves owning the agentic data pipeline and evaluation suite for advanced language models, ensuring high-quality data and rigorous benchmarks to enhance AI capabilities.
Responsibilities:
• Design and run evaluations of agentic capabilities — multi-step reasoning, tool use, long-horizon planning, computer use, and safety properties — turning ambiguous notions of 'intelligence' into defensible, reproducible metrics.
• Build and harden evaluation harnesses so benchmarks run reliably at scale against training checkpoints, with clear signal on regressions and model health.
• Run experiments characterizing how prompting, sampling, scaffolding, and environment design affect agentic performance on internal and public benchmarks.
• Diagnose anomalous eval results mid-training-run — determine whether the cause is the model, the data, the harness, or the infrastructure — and communicate the answer clearly.
• Source, generate, and curate high-quality agentic training data: trajectories, tool-use traces, and task datasets for new capabilities.
• Design and scale RL environments and reward signals, and measure their impact on model performance.
• Manage technical relationships with external data vendors and domain experts, evaluating data quality and iterating quickly on feedback.
• Develop QA frameworks that catch reward hacking, label noise, and contamination, keeping data and benchmark quality high.
• Contribute to technical reports, research publications, and open-source benchmarks and tooling.
• Partner with research and product teams to translate capability goals into measurable data and evaluation artifacts.
Qualifications:
Required:
• BS, MS, or PhD (or equivalent experience) in Computer Science, Machine Learning, or a related field.
• 2+ years of experience with a clear emphasis on evaluations and/or training-data curation for ML systems (related areas: LLM training/fine-tuning, RL, or distributed ML systems).
• Strong Python and PyTorch development experience.
• Demonstrated experience designing and deep-diving into evaluations, or curating and generating training datasets — ideally both.
• Hands-on experience using LLM agents in your personal or professional work.
• A habit of reading through raw data and trajectories to understand them and spot issues, and an instinct to distrust a metric until it's validated.
Preferred:
• Experience with reinforcement learning, reward design, or RL environment construction for LLMs.
• Background in statistics and experimental design — a feel for signal-to-noise, statistical power, and contamination in evaluations.
• Experience with large-scale dataset sourcing, curation, and processing, including working with external vendors or domain experts.
• Strong knowledge of the literature on agent evaluation, RL, LLM reasoning, and tool use.
• Experience building or operating data pipelines and evaluation infrastructure reliable at scale (e.g., PyTorch, Ray).
• Experience evaluating or generating data for software-engineering or computer-use agents.
• Contributions to published research, public benchmarks, and/or open-source ML software.
Company:
Official account of Mohamed bin Zayed University of Artificial Intelligence. Dedicated to research, innovation, and empowering brilliant minds in AI. Founded in 2019, the company is headquartered in Abu Dhabi, ARE, with a team of 51-200 employees. The company is currently Growth Stage.

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