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Remote Culinary Research Development Jobs (NOW HIRING)

synergy

New Business Development Manager

Dallas, TX · Remote

United States (Remote - National Territory) Travel: ~40-50% Overview Synergy Bioscience is a Contract Research, Development, Testing, and Consulting Organization (CRO) supporting pharmaceutical ...

Riverside Research

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

We provide high-end technical services, research and development, and prototype solutions to some ... S. Citizenship. Position Overview Riverside Research is seeking a full-time Remote Sensing ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Experience working with or within industry, including collaborative R&D or product development

Mendocino Farms

PRODUCT MARKETING MANAGER

El Segundo, CA · On-site +1

$85K - $135K/yr

Proven experience partnering closely with Culinary / R&D teams. * Experience operating in growth-stage or evolving brands where structure is still being built. Skills & Mindset * Strategic thinker ...

ABI Research

Technology Research Analyst

New York, NY · On-site +1

Support sales and business development activities by preparing customer-specific analysis, and by ... ABI Research is fully remote in the U.S., with physical offices in the U.K. and Singapore. Analysts ...

ABI Research

Technology Research Analyst

New York, NY · Remote

Support sales and business development activities by preparing customer-specific analysis, and by ... ABI Research is fully remote in the U.S., with physical offices in the U.K. and Singapore. Analysts ...

ABI Research

Technology Research Analyst

Manhattan, NY · On-site +1

Support sales and business development activities by preparing customer-specific analysis, and by ... ABI Research is fully remote in the U.S., with physical offices in the U.K. and Singapore. Analysts ...

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How much do remote culinary research development jobs pay per hour?

As of May 31, 2026, the average hourly pay for remote culinary research development in the United States is $26.05, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $30.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Remote Culinary Research and Development, and why are they important?

To thrive in Remote Culinary Research and Development, you need a strong background in culinary arts, food science, and recipe development, often supported by a relevant culinary degree or certification. Familiarity with digital collaboration tools, recipe management software, and sensory analysis systems is typically required. Creativity, attention to detail, and strong communication skills help you innovate and work effectively with cross-functional teams in a virtual environment. These skills are crucial for developing successful food products and maintaining team synergy while working remotely.

What are some typical challenges faced by professionals in Remote Culinary Research Development, and how can they be addressed?

Professionals in Remote Culinary Research Development often face challenges such as limited access to on-site kitchens, difficulties in real-time team collaboration, and sourcing unique ingredients for recipe testing. These can be addressed by leveraging virtual collaboration tools, creating structured communication routines with cross-functional teams, and establishing partnerships with local suppliers or using ingredient shipping services. Maintaining detailed documentation and frequent feedback sessions also help ensure that recipe development stays on track and meets project goals.

What is a Remote Culinary Research Development professional?

A Remote Culinary Research Development professional is someone who works from a remote location to create, test, and improve recipes, food products, or cooking techniques. They often collaborate with food companies, restaurants, or culinary labs to innovate in flavors, ingredients, and food preparation methods. Their work may include developing new menu items, adapting recipes for different markets, and ensuring food quality and safety standards are met. By leveraging virtual tools and communication, they contribute valuable culinary expertise without being physically present in a test kitchen or research facility.

What is the difference between Remote Culinary Research Development vs Remote Food Scientist?

AspectRemote Culinary Research DevelopmentRemote Food Scientist
Required Credentials Culinary degrees, food innovation certificationsFood science degrees, certifications in food safety
Work EnvironmentCollaborative kitchen labs, R&D teams, remote testingLaboratories, research facilities, remote data analysis
Industry UsageFood companies, product development firmsFood manufacturing, safety agencies, research institutions
Search & Comparison IntentUnderstanding roles in culinary innovation and product developmentExploring scientific research and safety testing roles in food industry

Remote Culinary Research Development focuses on creating new food products and culinary innovations, often involving recipe development and flavor testing. Remote Food Scientists primarily analyze food safety, composition, and quality through scientific methods. While both roles involve food industry expertise, Culinary Research Development emphasizes creativity and product creation, whereas Food Science centers on scientific analysis and safety compliance.

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What cities are hiring for Remote Culinary Research Development jobs? Cities with the most Remote Culinary Research Development job openings:
What are the most commonly searched types of Culinary Research Development jobs? The most popular types of Culinary Research Development jobs are:
What states have the most Remote Culinary Research Development jobs? States with the most job openings for Remote Culinary Research Development jobs include:
What job categories do people searching Remote Culinary Research Development jobs look for? The top searched job categories for Remote Culinary Research Development jobs are:
Remote Culinary Research Development jobs near you
Infographic showing various Remote Culinary Research Development job openings in the United States as of May 2026, with employment types broken down into 3% Internship, 3% As Needed, 46% Full Time, 16% Part Time, and 32% Contract. Highlights an 100% Physical job distribution, with an average salary of $54,192 per year, or $26.1 per hour.

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 15 days ago

Job description

Riverside Overview
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview
Riverside Research's Cognitive Intelligence Solutions Group (CISG) is seeking a Remote Sensing Engineer to support cutting-edge geospatial intelligence, autonomous sensing, and AI/ML-driven data exploitation efforts for the U.S. Department of Defense and Intelligence Community. The successful candidate will serve as a technical lead responsible for the automated verification and validation (V&V), test and evaluation (T&E), and performance assessment of remote sensing data pipelines, AI/ML models, and third-party vendor capabilities. This role bridges rigorous scientific methodology with production-grade engineering, enabling CISG to deliver validated, mission-ready geospatial intelligence products. The ideal candidate combines deep expertise in multispectral and hyperspectral remote sensing with hands-on experience applying machine learning to operational geospatial workflows.
This position is located in Fairfax, VA.
#LI-Onsite
Responsibilities
  • Design, develop, and implement automated V&V and T&E frameworks to assess the accuracy, performance, and operational readiness of remote sensing data products, AI/ML models, and vendor-delivered geospatial capabilities.
  • Lead the technical evaluation of commercial and government remote sensing platforms, sensors (multispectral, hyperspectral, SAR, LiDAR), and associated data products against mission-specific requirements.
  • Develop and maintain scalable, production-grade machine learning pipelines for geospatial applications including change detection, land cover classification, object detection, and environmental monitoring.
  • Apply state-of-the-art AI/ML techniques - including deep learning, transfer learning, self-supervised learning, and large vision/language models - to automate remote sensing data exploitation and analysis workflows.
  • Conduct rigorous uncertainty quantification, validation metric development, and statistical performance benchmarking across multi-source, multi-temporal geospatial datasets.
  • Architect and execute data quality assessment (DQA) protocols for ingested satellite, airborne, and in-situ sensor data; document and communicate findings to program teams and stakeholders.
  • Collaborate with program managers, government customers, and interdisciplinary engineering teams to translate operational requirements into validated technical solutions.
  • Evaluate and integrate emerging remote sensing technologies and open-source AI/ML frameworks; assess vendor claims, algorithm documentation, and technical data packages.
  • Contribute to IRAD initiatives advancing CISG's remote sensing and autonomous sensing capabilities, including development of novel approaches for environmental monitoring, target detection, and geospatial change analytics.
  • Author technical reports, white papers, and briefings documenting methodology, V&V results, and performance findings for government sponsors.
  • Provide technical mentorship to junior engineers and researchers on remote sensing methods, ML best practices, and geospatial data science.
  • Stay current with advances in foundation models, multi-modal geospatial AI, and emerging remote sensing sensor modalities relevant to national security applications.

Qualifications
Required Qualifications:
  • Active U.S. Citizenship (required for all Riverside Research positions).
  • Must be able to obtain and maintain a Top Secret security clearance with SCI access; ability to obtain program-specific clearances as required. Candidates with an active TS/SCI are strongly preferred.
  • Bachelor's degree in Remote Sensing, Geospatial Science, Earth Systems, Electrical Engineering, Computer Science, or a closely related STEM field.
  • A minimum of 8 years of related experience with a Bachelor's degree, 6 years with a Master's degree, 3 years with a PhD, or equivalent combination of education and experience. Graduate research experience counts toward this threshold.
  • Demonstrated expertise in multispectral and/or hyperspectral remote sensing data analysis, including atmospheric correction, spectral indices, spectral unmixing, and feature extraction.
  • Proficiency in Python for geospatial data engineering, including experience with rasterio, rioxarray, xarray, GDAL, geopandas, NumPy, and scikit-learn.
  • Hands-on experience with machine learning and statistical modeling applied to remote sensing or geospatial datasets (e.g., classification, regression, anomaly detection, change detection).
  • Experience developing and executing V&V or T&E processes for data products, software systems, or AI/ML models, including design of test plans, performance metrics, and acceptance criteria.
  • Familiarity with geospatial platforms and tools: ArcGIS Pro, QGIS, ENVI, and/or Google Earth Engine.
  • Experience with cloud-based geospatial workflows (AWS, Google Cloud, or Azure) and version control practices (Git/GitLab/GitHub).
  • Strong written and verbal communication skills with demonstrated ability to present complex technical findings to both technical and non-technical audiences.

Desired / Preferred Qualifications:
  • Active Top Secret/SCI clearance - candidates who already hold an active TS/SCI will be given strong preference and can expect an accelerated onboarding timeline.
  • Experience supporting DoD, Intelligence Community, or national security remote sensing programs (NRO, NGA, AFRL, ARO, or equivalent).
  • Familiarity with hyperspectral sensing platforms (e.g., AVIRIS, PRISMA, orbital hyperspectral systems) and hyperspectral analytics pipelines including mineral characterization and vegetation health assessment.
  • Experience applying deep learning frameworks (PyTorch, TensorFlow, Hugging Face) to geospatial or computer vision tasks, including fine-tuning foundation models or geospatial FMs (e.g., Prithvi, SatMAE, Clay).
  • Background in SAR processing, LiDAR analysis, or multi-modal sensor fusion for environmental or intelligence applications.
  • Experience with automated testing frameworks, CI/CD pipelines, and MLOps practices for geospatial AI/ML systems.
  • Track record of peer-reviewed publication, conference presentations (e.g., IGARSS, AGU, SPIE), or technical reports in remote sensing or geospatial AI.
  • Demonstrated experience in a lead or senior individual contributor role, including mentorship of junior technical staff and coordination across multi-disciplinary teams.
  • Familiarity with GEOINT tradecraft, NSDI standards, or DoD geospatial data standards (NTM, NITF, STANAG imagery formats).

Global Comp
$115,000 - $200,000 This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.

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