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Remote Applied Intelligence Jobs (NOW HIRING)

Wood Plc

Branch Manager

Chesterton, IN · Remote

Overview / Responsibilities Wood Applied Intelligence Automation and Controls is seeking an ... Other duties as assigned #LI-Remote Skills / Qualifications Qualifications: * BS Degree in ...

Wood Plc

Project Engineer

Warren, MI · Remote

Overview / Responsibilities Wood's Applied Intelligence- Automation and Controls business is ... Remote Skills / Qualifications Skills: * A Bachelor's Degree in Electrical/Controls Engineering ...

Relativity

Principal Applied Scientist

New York, NY · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ...

Relativity

Principal Applied Scientist

Washington, DC · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ...

Eliassen Group

Senior Applied Data Scientist

Almont, CO · Remote

$80 - $95/hr

Description: 100% Remote, EST hours Our client, a leader in their industry, is hiring a Senior ... Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its ...

HireNow Staffing

Applied AI Engineer

New York, NY · On-site +1

New York, NY (Hybrid - Wednesday Remote) Employment Type: Full-TimeHireNow Staffing is actively ... Experience building AI-powered workflow automation tools or financial intelligence platforms

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How much do remote applied intelligence jobs pay per year?

As of Jun 7, 2026, the average yearly pay for remote applied intelligence in the United States is $104,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $118,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in Remote Applied Intelligence roles, and how can they be addressed?

Remote Applied Intelligence professionals often encounter challenges such as ensuring effective collaboration across distributed teams, maintaining clear communication with stakeholders, and managing data security when working with sensitive information offsite. To address these issues, it's important to use secure, cloud-based collaboration tools, establish regular check-ins with colleagues, and follow best practices for data privacy. Staying proactive about communication and leveraging project management platforms can help remote team members stay aligned and productive.

What is a Remote Applied Intelligence job?

A Remote Applied Intelligence job involves leveraging artificial intelligence, machine learning, data analytics, and related technologies to solve business problems and drive decision-making, all while working from a remote location. Professionals in this field analyze large data sets, build predictive models, and develop intelligent solutions that can optimize processes, improve customer experiences, or uncover new business opportunities. The 'remote' aspect means the work is performed outside of a traditional office, offering flexibility and the ability to collaborate with global teams using digital tools.

What are the key skills and qualifications needed to thrive as a Remote Applied Intelligence professional, and why are they important?

To excel as a Remote Applied Intelligence professional, you need a solid background in data analysis, machine learning, and statistical modeling, often supported by a degree in computer science, statistics, or a related field. Proficiency in technical tools such as Python, R, SQL, cloud computing platforms, and relevant AI or data science certifications is highly valued. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These competencies enable professionals to extract actionable insights from data, drive innovation, and succeed in a distributed work environment.
More about Remote Applied Intelligence jobs
What cities are hiring for Remote Applied Intelligence jobs? Cities with the most Remote Applied Intelligence job openings:
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Remote Applied Intelligence jobs near you
Infographic showing various Remote Applied Intelligence job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 80% Full Time, 7% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $104,643 per year, or $50.3 per hour.
Physicist / Remote Sensing Scientist

Physicist / Remote Sensing Scientist

Barone Consulting

Dayton, OH • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are seeking an experienced TS/SCI cleared Remote Sensing Scientist / Physicistwith a deep understanding of the mathematics/geometry of sensor homography / image stitching. The ideal candidate will have photogrammetry skills and a background with remote sensing principles and sensor/target phenomenology or spectral phenomenology and algorithm development experience across a broad spectral range from visible to thermal. If your strength lies in domain image processing and data/scene exploitation and you want to work on a compelling project that has to do with enabling next-generation capabilities for national defense, specifically to help shape the future of airborne and space-based surveillance, this position will place you at the cutting edge.You will support a large R&D program that is focused on providing advanced intelligence capabilities for the benefit of the DoD and IC communities.

You will be part of a very high visibility project on a mid-sized team where you will work with seasoned scientists and developers, creating solutions to complex problems within a collaborative team environment.ResponsibilitiesDevelop and apply advanced models for sensor homography, image stitching, and geometric alignment of multi-sensor and/or multi-modal imageryAnalyze remote sensing data using domain-specific knowledge of sensor and target phenomenology (OPIR, EO, MSI, etc)Implement computer vision and image processing techniques for large-scale scene exploitationSupport development and analysis of persistent collection systems and architecturesConduct technical studies involving focal plane array characteristics, such as quantum efficiency, flux density, pixel crosstalk, and noise modelingUtilize Python and/or MATLAB for prototyping, algorithm development, and data analysis to write scientific code for clutter and noise mitigation, image reconstruction, compressive sensing, tracking, detection, feature extraction and classification, stereo, machine learning, signal processing, and radiometric calculationsCollaborate on multidisciplinary R&D efforts and contribute to technical strategy developmentRequired Must Have SkillsIn-depth understanding of mathematical principles behind image registration, sensor fusion, and geometric modelingStrong grasp of scientific focal plane array (FPA) concepts, including quantum efficiency, crosstalk, pixel sensitivity, and flux behaviorFamiliarity with persistent collection systems, their design considerations, and operational implicationsDemonstrated expertise in domain-specific remote sensing, including sensor/target interactionsProficiency in both Python and MATLAB and for scientific computing and algorithm developmentExperience developing or optimizing algorithms for deployment in operational environmentsActive TS/SCI clearance with CI Scope PolygraphExperience designing and deploying computer vision algorithms in remote sensing workflowsKnowledge of spectral imaging, radiometric calibration, or sensor characterizationWorking familiarity with AI/ML techniques applied to spatial or temporal imageryRecord of published work or conference presentations in the fields of remote sensing or sensor modelingExperience transitioning algorithms from prototype to deployed system in defense or ISR environmentsQualifications (education/experience substitutions are allowed)Mid-level candidates must have a B.A./B.S. and 4 years of experienceSenior level candidates must have a B.A./B.S. and 10 years of experienceSME level candidates must have a M.A./M.S.

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