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Virtual Researcher Jobs in California (NOW HIRING)

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Virtual Researcher information

See California salary details

$29.6K

$111.6K

$162.3K

How much do virtual researcher jobs pay per year?

As of Sep 4, 2026, the average yearly pay for virtual researcher in California is $111,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $152,000.00 per year, depending on experience, location, and employer.

What is a virtual researcher?

Virtual Researchers are professionals who conduct research remotely, often using online databases, digital libraries, and internet resources to gather and analyze information. They may work in various fields, such as academic research, market analysis, or business intelligence, and typically communicate findings through digital reports or presentations. Virtual Researchers collaborate with teams or clients online, making their role flexible and adaptable to different industries and project needs.

What does a virtual researcher do?

As a virtual researcher, your primary responsibilities are to conduct online research and produce reports on your findings. Your duties may involve developing research designs, analyzing literature reviews, collecting information through focus groups and interviews, or supporting research projects. You can find virtual researcher positions in various industries, including healthcare, academics, and finance. You might be asked to review market trends and process data to support strategies and action taken by a business. A virtual researcher can work for one employer or provide freelance services. While a freelance researcher can find work in multiple industries, it is common to specialize in a specific field.

What are the key skills and qualifications needed to thrive as a virtual researcher, and why are they important?

To thrive as a Virtual Researcher, you need strong analytical and critical thinking skills, excellent written communication, and a background in research methods, often supported by a relevant degree. Familiarity with digital research databases, advanced search engines, data analysis tools, and citation management systems is typically required. Attention to detail, self-motivation, and effective time management are crucial soft skills for excelling in a remote setting. These competencies ensure high-quality, accurate research outcomes and enable efficient, independent work in a virtual environment.

How does a virtual researcher typically collaborate with remote teams and stakeholders?

As a Virtual Researcher, collaboration is often conducted through digital platforms such as video conferencing, project management tools, and shared documents. You’ll frequently communicate findings, coordinate tasks, and gather input from team members and stakeholders located in different geographical areas. Being proactive in sharing updates and adapting to various communication styles is key to maintaining workflow efficiency and building strong professional relationships in a remote setting.

What is the difference between Virtual Researcher vs Virtual Assistant?

AspectVirtual ResearcherVirtual Assistant
Primary RoleConducts in-depth research, data analysis, and information gathering for projectsProvides administrative support, manages schedules, and handles correspondence
Required SkillsResearch methods, data analysis, critical thinkingOrganization, communication, basic tech skills
Work EnvironmentRemote, project-based, often specializedRemote, administrative, routine tasks
Common EmployersConsulting firms, academic projects, market research companiesSmall businesses, entrepreneurs, corporate teams

While both roles are remote and require strong organizational skills, Virtual Researchers focus on gathering and analyzing information for specific projects, whereas Virtual Assistants handle administrative tasks and support daily operations. The choice depends on whether the task involves research expertise or administrative support.

More about Virtual Researcher jobs

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

The most popular types of Researcher jobs in California are:

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For Virtual Researcher jobs in California, the most frequently searched job titles are:

What job categories do people searching Virtual Researcher jobs in California look for?

The top searched job categories for Virtual Researcher jobs in California are:

What cities in California are hiring for Virtual Researcher jobs?

Cities in California with the most Virtual Researcher job openings:

Virtual Researcher jobs near you
Infographic showing various Virtual Researcher job openings in California as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 32% Physical, 2% Hybrid, and 66% Remote job distribution, with an average salary of $111,621 per year, or $53.7 per hour.

AI Researcher (Computer Vision/Multimodal/Generative AI)

SpreeAI

San Francisco, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About the Role
We are hiring ML Researchers to develop novel approaches that advance the frontier of multimodal vision AI and create product-defining capabilities for SpreeAI. This role exists because current generative and vision models are not designed for photorealistic human representation, controllable try-on, or real-world deployment constraints. You will explore new architectures, algorithms, and training strategies that improve realism, controllability, efficiency, and multimodal understanding - with a direct path from research to production.
You will work on research problems across:
  • photorealistic virtual try-on
  • human-centric visual representation learning
  • video-based modeling and temporal consistency
  • multimodal reasoning and generative pipelines
  • compute-efficient diffusion and generative architectures

This is a research role with product impact: successful work leads to platform capabilities, white papers, patents and most importantly, industry differentiation.
Why This Role Exists
Modern multimodal AI systems struggle with identity preservation, pose consistency, physical realism, and controllability under production constraints. We are building new approaches where:
  • diffusion models must produce consistent outputs across poses, viewpoints, and garments,
  • generative models must learn human and garment interactions realistically,
  • research innovations must scale to real-world deployment environments.

This role is for researchers who want to see novel ideas become shipped systems used by real customers.
What you'll do
  • Develop novel architectures and training approaches for vision and multimodal AI.
  • Advance generative modeling techniques including controllable diffusion and video generation.
  • Design experiments improving realism, temporal consistency, and human representation.
  • Collaborate with applied engineering teams to translate research into production systems.
  • Publish white papers or research outputs aligned with product differentiation.
  • Evaluate new model paradigms for scalability and efficiency.

Core Research Areas & Model Architectures
Candidates should have familiarity with or interest in advancing:
  • Diffusion models and latent diffusion architectures.
  • Transformer-based vision models (ViT, multimodal transformers).
  • Image-to-image and video generation pipelines.
  • Control mechanisms for generative models (conditioning, adapters, LoRA).
  • Representation learning for human pose, geometry, or identity consistency.
  • Multimodal architectures combining vision, text, and structured inputs.

Qualifications
  • PhD in Computer Science, Artificial Intelligence, Robotics, Computer Vision, or related field.
  • Strong research background in computer vision, generative modeling, or multimodal AI.
  • Strong programming skills in Python and familiarity with object-oriented languages.
  • Experience with deep learning frameworks (PyTorch preferred).
  • Strong foundations in machine learning theory and experimental design.

Preferred Qualifications
  • Publications at top conferences (CVPR, ICCV, NeurIPS, ICLR, SIGGRAPH, etc.).
  • Experience with diffusion-based generative models.
  • Video modeling or temporal learning experience.
  • Experience bridging research into production systems.
  • Interest in compute efficiency, distillation, or scalable generative pipelines.

SPREEAI is a fast-growing, innovative AI company at the forefront of fashion and e-commerce, revolutionizing how consumers engage with fashion through lifelike photorealistic try-on technology and hyper-personalized shopping experiences. Our mission is to redefine the retail landscape with cutting-edge AI solutions that blend high fashion and technology. We thrive in a dynamic, fast-paced environment where creativity meets technology to drive real impact. If you are passionate about innovation and shaping the future of fashion, SPREEAI offers a platform to make your mark.

Apply