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Collaborative Researcher information

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$30K

$113.1K

$164.5K

How much do collaborative researcher jobs pay per year?

As of Jun 11, 2026, the average yearly pay for collaborative researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What job makes 10,000 a month without a degree?

A collaborative researcher can potentially earn $10,000 a month through freelance or contract work by leveraging specialized skills, such as data analysis, scientific methods, or project management, often without requiring a formal degree. Success depends on experience, reputation, and the ability to secure high-paying projects in research or consulting environments.

What is the difference between Collaborative Researcher vs Research Assistant?

AspectCollaborative ResearcherResearch Assistant
Required CredentialsBachelor's or Master's degree in relevant field; research experienceTypically pursuing or holding a Bachelor's or Master's degree; some research experience beneficial
Work EnvironmentCollaborates with teams across departments or institutions; involved in project planning and executionSupports research projects by collecting data, preparing materials, and assisting senior researchers
Employer & Industry UsageUniversities, research institutes, corporate R&D departmentsUniversities, labs, research centers, and academic settings

The main difference between a Collaborative Researcher and a Research Assistant lies in their roles. Collaborative Researchers often lead or co-lead projects, working closely with teams and contributing to research design and analysis. Research Assistants primarily support research activities by handling data collection and administrative tasks. Both roles require research experience, but Collaborative Researchers typically have more responsibility and independence in project execution.

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

To thrive as a Collaborative Researcher, you need a solid background in research methodology, data analysis, and subject-specific expertise, usually supported by an advanced degree in a relevant field. Familiarity with statistical software (e.g., SPSS, R), collaborative platforms (such as Google Workspace or Microsoft Teams), and research databases is commonly required. Strong communication, teamwork, and problem-solving skills help foster productive partnerships and facilitate the sharing of ideas. These abilities are crucial for producing robust research outcomes and advancing knowledge through effective collaboration.

What jobs pay 2000 a day?

In the field of collaborative research, highly specialized roles such as senior research consultants, industry experts, or consultants working on high-stakes projects can earn around $2,000 per day. These positions typically require advanced degrees, extensive experience, and often involve consulting, contract work, or project-based assignments in academia, industry, or government sectors.

What does a research collaborator do?

A research collaborator works with other researchers or teams to plan, conduct, and analyze scientific studies. They contribute expertise, share data, and help ensure the project meets its objectives, often using tools like data analysis software and adhering to research protocols.

What jobs will no longer exist in 2030?

By 2030, roles such as data entry clerks and telemarketers are expected to decline significantly due to automation and AI advancements. Collaborative Researchers and other jobs requiring complex problem-solving and creativity are less likely to be fully replaced, but some routine tasks may be automated, impacting certain job functions within research and related fields.

What are collaborative researchers?

Collaborative researchers are professionals who work together, often across disciplines or institutions, to conduct research projects. They share ideas, resources, and expertise to tackle complex questions that may be difficult to address individually. This teamwork can lead to more innovative solutions, increased productivity, and higher-quality research outcomes. Collaborative researchers often use digital tools to communicate and manage shared data, and their work is essential in fields like science, healthcare, and technology.

How do Collaborative Researchers typically coordinate and manage projects with multidisciplinary teams?

Collaborative Researchers often work closely with professionals from various fields, which requires strong communication and project management skills. They usually rely on regular meetings, shared digital platforms, and collaborative software to align goals, share data, and monitor progress. Effective coordination involves setting clear milestones, defining roles, and addressing challenges collectively to ensure the project stays on track. Building mutual respect and understanding among team members with different expertise is key to successful collaboration.
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What job categories do people searching Collaborative Researcher jobs look for? The top searched job categories for Collaborative Researcher jobs are:
Collaborative Researcher jobs near you
Infographic showing various Collaborative Researcher job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Senior Research Scientist, AI-Mediated Reality and Interaction

Senior Research Scientist, AI-Mediated Reality and Interaction

Nvidia Corporation

Santa Clara, CA • On-site

$115K - $147K/yr

Full-time

Posted 9 days ago

Job description

We are now looking for a Senior Research Scientist for AI-Mediated Reality and Interaction:
NVIDIA Research's AI-Mediated Reality and Interaction team is looking for senior research scientists. Our mission is to create interactive physical AIs capable of operating in dynamic 4D worlds. We conduct fundamental research on the algorithms, theory and application of human-AI interaction and 4D world modeling using new ideas in artificial intelligence (AI), neural rendering, graphics, generative modeling, large language models, human behavior understanding and digital human creation. That research impacts many existing NVIDIA products, including Isaac, Omniverse, Metropolis, NuRec, XR, AI4Media, XR, and helps create new ones. We need a highly creative, independent and self-starting experienced research scientist to help us invent that future. Come join a diverse research group that collaboratively works on hard and meaningful interdisciplinary problems with passion, drive and curiosity; that consistently publishes and demonstrates cutting-edge technology at top venues in computer vision, artificial intelligence and graphics; and that values real impact on NVIDIA products and the industry at large.
What you'll be doing:
  • Propose novel fundamental research that advances the state-of-the-art in the broader research community and is relevant to NVIDIA's business; and prototype and test your ideas.
  • Patent and publish your research in top-tier conferences (CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, etc.).
  • Collaborate with other research team members, external researchers, and mentor interns and junior researchers.
  • Create working interactive demonstrations to showcase your research ideas.
  • Participate in technology transfer with engineers around NVIDIA as ideas "graduate" from research to product.

What we need to see:
  • Ph.D. in Computer Science/Electrical Engineering or equivalent research experience.
  • 3+ years of relevant postdoctoral or industrial research experience
  • Outstanding research and publication track record exemplified in conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, etc.
  • Proficiency in theory and practice of AI and computer vision algorithms.
  • Experience with 3D graphics development.
  • Strong programming skills in Python & C++; CUDA is a plus
  • Proficiency with distributed deep learning training frameworks, e.g., PyTorch.
  • Excellent communication skills.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most resourceful and dedicated people in the world working for us. Are you creative and collaborative researcher who loves the challenge of exploring and crafting techniques that will define our future products? If so, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 8, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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