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Remote Apple Maps Image Collection Jobs in Ohio (NOW HIRING)

Senior Scientist

Dayton, OH · Remote

$88K - $121K/yr

... image science methods, and multi-platform remote sensing analytics. The work is fast-paced and mission-driven - requirements shift, collection windows are finite, and the analysis you produce informs ...

Senior Scientist

Dayton, OH · On-site +1

$88K - $121K/yr

... image science methods, and multi-platform remote sensing analytics. The work is fast-paced and mission-driven -- requirements shift, collection windows are finite, and the analysis you produce ...

Senior Scientist

Dayton, OH · Remote

$85K - $116K/yr

Support collection planning and requirements definition for remote sensors, coordinating priorities ... Bachelor's degree in Image Science, Engineering, Applied Physics, Atmospheric Science, Applied ...

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Remote Apple Maps Image Collection information

What is a Remote Apple Maps Image Collection job?

A Remote Apple Maps Image Collection job involves gathering and processing geographic images and data to improve the quality and accuracy of Apple Maps. Employees in this role typically use specialized equipment or software to capture street-level or aerial images, often from various locations, and then upload or process that data remotely. The job may also include reviewing, editing, and labeling images to ensure they meet Apple's mapping standards. This position is usually remote, allowing team members to work from home or from the field. It plays a crucial part in keeping Apple Maps up-to-date and reliable for users.

What key skills and qualifications are needed to excel in Remote Apple Maps Image Collection roles, and why are they important?

Success in Remote Apple Maps Image Collection requires strong attention to detail, geographic awareness, and often a valid driver’s license with a clean driving record. Familiarity with GPS navigation devices, data collection software, and sometimes basic troubleshooting of camera or mapping equipment is typically expected. Reliability, time management, and effective communication are crucial soft skills for meeting collection targets and resolving issues independently. These skills ensure accurate, consistent data collection and contribute to the quality and reliability of Apple Maps’ geographic information.

What is the difference between Remote Apple Maps Image Collection vs Remote Data Annotator?

AspectRemote Apple Maps Image CollectionRemote Data Annotator
Required CredentialsBasic technical skills, sometimes GPS or mapping knowledgeAttention to detail, basic computer skills
Work EnvironmentRemote, field data collection, often outdoors or via mobile devicesRemote, computer-based, often in a home office
Employer & Industry UsageTech companies, mapping services, geographic data providersTech companies, AI training, machine learning projects
Search & Comparison IntentMapping data collection, geographic data jobsData labeling, annotation, AI training roles

Remote Apple Maps Image Collection involves collecting geographic images and data, often outdoors and with GPS devices. In contrast, Remote Data Annotator focuses on labeling and annotating data for AI models, typically performed indoors on computers. Both roles are remote but serve different purposes within the tech and mapping industries.

What are some common challenges faced in a Remote Apple Maps Image Collection role, and how can they be managed?

In a Remote Apple Maps Image Collection role, one of the main challenges is ensuring consistent image quality and capturing data in a variety of environments, often with changing light or weather conditions. Additionally, managing the technical equipment remotely and troubleshooting issues without on-site support can require strong problem-solving skills. Team members often work independently but must also coordinate closely with supervisors and data analysts to meet project goals and adhere to strict privacy and safety standards. Staying organized, maintaining clear communication, and following detailed protocols help manage these challenges effectively.
What are the most commonly searched types of Apple Maps Image Collection jobs in Ohio? The most popular types of Apple Maps Image Collection jobs in Ohio are:
What are popular job titles related to Remote Apple Maps Image Collection jobs in Ohio? For Remote Apple Maps Image Collection jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Remote Apple Maps Image Collection jobs? Cities in Ohio with the most Remote Apple Maps Image Collection job openings:

Senior Scientist

GRVTY

Dayton, OH • Remote

$88K - $121K/yr

Other

Posted 23 days ago


Job description

What Impact You'll Have

GRVTY is looking for a Senior Scientist to support research, algorithm development, and advanced analytics for overhead persistent infrared and electro-optical/infrared sensing systems. This is a technically demanding role centered on OPIR phenomenology, optical signature characterization, and sensor performance analysis in direct support of national security missions at a customer facility in Dayton, Ohio.

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics. The work is fast-paced and mission-driven - requirements shift, collection windows are finite, and the analysis you produce informs real decisions. We are looking for someone who has done this work before, can operate with autonomy, and brings enough depth in OPIR to hit the ground running.

What You'll be Owning

  • Lead research and development of advanced algorithms for OPIR and EO/IR remote sensing systems, with emphasis on target detection, tracking, location, and characterization.
  • Design, implement, and evaluate algorithms for EO/IR sensor and camera system performance - including noise modeling, radiometric calibration, and sensitivity analysis.
  • Analyze optical signature data to extract target phenomenology, characterize signatures, and generate technically rigorous intelligence insights.
  • Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and data streams.
  • Support the full TCPED process for OPIR - from tasking and collection planning through exploitation and dissemination.
  • Review and validate analytic products for technical accuracy and mission relevance; identify gaps and recommend improvements.
  • Maintain detailed, reproducible analysis logs documenting workflows, assumptions, methodologies, and results.
  • Respond to real-time EO/IR analysis requests and adapt quickly to evolving mission priorities.
  • Test and evaluate emerging algorithms, exploitation tools, and analytic platforms; contribute to trade studies and capability assessments.
  • Prepare and deliver technical briefings, findings, and written reports to customer and program stakeholders.
  • Mentor junior analysts; contribute to analytic standards and methodology development across the team.

What You Must Have

  • Active Top Secret clearance with ability to obtain SCI and CI polygraph.
  • Bachelor's degree in Image Science, Engineering, Applied Physics, Atmospheric Science, Applied Mathematics, or a closely related field.
  • 5+ years of hands-on OPIR experience, with demonstrated work in EO/IR phenomenology, optical signature analysis, or sensor performance assessment.
  • Experience with image processing and digital signal processing tools for short-wave and mid-wave infrared data.
  • Experience applying algorithms for target detection and background suppression in OPIR or EO/IR contexts.
  • Familiarity with multi-data stream ingest and analysis techniques.
  • Working knowledge of the TCPED process as applied to OPIR collection and exploitation.
  • Strong documentation and communication skills - you will be writing technical reports and briefing customers, not just doing the analysis.
  • Able to work independently and manage priorities without significant hand-holding.

What Would be Nice to Have

  • Master's degree in Image Science, Engineering, Applied Physics, Applied Mathematics, or a related field.
  • Direct experience with optical signature modeling and EO/IR phenomenology characterization.
  • Proficiency in Python, MATLAB, IDL, or C/C++ for algorithm development or data analysis.
  • Experience with geospatial and exploitation tools such as ArcGIS, Google Earth, Opticks, or Palette.
  • Background in radiometric calibration, sensor noise modeling, or end-to-end sensor performance modeling.
  • Experience supporting collection planning and requirements definition for remote sensing systems.
  • Familiarity with AI/ML-enhanced analytics as applied to remote sensing or signature exploitation.
  • Prior experience in a defense or intelligence community environment supporting classified programs.