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Remote Collection Jobs in Springfield, VA (NOW HIRING)

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

EO collection systems * Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies * Experience exploiting EO imagery to: * Detect * Identify * Locate objects ...

Program/Data Analyst Advisor

Washington, DC · On-site +1

$124K - $143K/yr

No GDIT is hiring a Principal Program/Data Analyst to support the data collection and analysis ... Remote Work Location: USA DC Washington Additional Work Locations: Any Location / Remote Total ...

College degree must be in a relevant field such as remote sensing, Geospatial sciences, Relevant ... collection processes and protocols * Expert knowledge of GEOINT software including RemoteView ...

Provide secure and stable methods for the remote diagnosis and resolution of maintenance issues affecting remote data collection points. * Develop and document architecture strategies and technology ...

College degree must be in a relevant field such as remote sensing, Geospatial sciences, Relevant ... collection processes and protocols * Expert knowledge of GEOINT software including RemoteView ...

Experience in open source social media collection, analysis, and exploitation. * Proficiency with ... Remote. Working at SOSi All interested individuals will receive consideration and will not be ...

Experience in open source social media collection, analysis, and exploitation. * Proficiency with ... Remote. Working at SOSi All interested individuals will receive consideration and will not be ...

Experience in open source social media collection, analysis, and exploitation. * Proficiency with ... Remote. Working at SOSi All interested individuals will receive consideration and will not be ...

Experience in open source social media collection, analysis, and exploitation. * Proficiency with ... Remote. Working at SOSi All interested individuals will receive consideration and will not be ...

Experience in open source social media collection, analysis, and exploitation. * Proficiency with ... Remote. Working at SOSi All interested individuals will receive consideration and will not be ...

Experience in open source social media collection, analysis, and exploitation. * Proficiency with ... Remote. Working at SOSi All interested individuals will receive consideration and will not be ...

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Remote Collection information

See Springfield, VA salary details

$13

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How much do remote collection jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for remote collection in Springfield, VA is $22.42, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $25.10 per hour, depending on experience, location, and employer.

What is a Remote Collection job?

A Remote Collection job involves contacting individuals or businesses to collect overdue payments, verify account information, and arrange payment solutions—all from a remote location. These roles typically require strong communication, negotiation, and problem-solving skills. Agents may work via phone, email, or online chat, following company guidelines and legal regulations. Effective time management and the ability to handle sensitive financial information are key to success in this role.

What are the key skills and qualifications needed to thrive in the Remote Collection position, and why are they important?

To thrive in a Remote Collection role, you need strong organizational skills, attention to detail, and experience in accounts receivable or debt collection, usually complemented by a high school diploma or equivalent. Familiarity with collection management software (like FICO Debt Manager or similar CRM tools), phone systems, and basic office software is typically required. Exceptional verbal communication, negotiation, and resilience are key soft skills that help you effectively engage with clients and resolve outstanding accounts. These abilities are crucial for meeting collection targets, maintaining positive client relations, and operating efficiently in a remote work environment.

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

One common challenge in a Remote Collection role is communicating effectively with individuals who may be stressed or reluctant to discuss payment issues. Working remotely can also make it more difficult to collaborate with team members, requiring strong self-motivation and proactive communication. Many companies provide comprehensive training and regular virtual team meetings to address these challenges, as well as access to digital tools that streamline the collection process. Success in this role often comes from balancing persistence and professionalism, ensuring payments are collected while maintaining positive client relationships.

What job categories do people searching Remote Collection jobs in Springfield, VA look for? The top searched job categories for Remote Collection jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Remote Collection jobs? Cities near Springfield, VA with the most Remote Collection job openings:
Infographic showing various Remote Collection job openings in Springfield, VA as of June 2026, with employment types broken down into 34% Full Time, 45% Part Time, and 21% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $46,634 per year, or $22.4 per hour.

Imagery Scientist (EO) - Senior

GRVTY

Falls Church, VA • Remote

$97K - $133K/yr

Other

Posted 8 days ago


Job description

What Impact You'll Have

GRVTY is seeking a motivated and experienced imagery scientist to provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning algorithm testing and evaluation.  The ideal candidate is an expert imagery scientist with a passion for advanced scientific problem solving, imagery exploitation, and operational intelligence support. This role will drive solutions informed by specific phenomenology limitations and advantages of the sensors and platforms in mind.

What You'll be Owning

  • Assist the EO lead in conducting assessment of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms
  • Assess potential differences in metadata, data format, and data structure characteristics in regard to changes to databases, schemas, APis, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline
  • Determine how to acquire new data, potential latency associated with acquisition, data formats, and security domains
  • Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds.

What You Must Have

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • 4+ years of expert EO imagery exploitation and imagery science experience with understanding of collection, phenomenology, image formation process, and exploitation products.
  • Demonstrated experience in:
    • EO collection systems
    • Remote sensing phenomenology
    • Image formation processes
    • Exploitation products and methodologies
  • Experience exploiting EO imagery to:
    • Detect
    • Identify
    • Locate objects of interest
  • Experience developing and evaluating:
    • Algorithms
    • Scientific workflows
    • Exploitation methodologies
  • Experience automating scientific processing workflows
  • Experience developing and evaluating:
    • Algorithms
    • Automated workflows
    • Scientific exploitation methods
  • Understanding of:
    • Remote sensing principles
    • EO imagery processing
    • Advanced exploitation methods
    • Sensor/platform limitations and advantages
  • Proven ability to communicate technical concepts to:
    • Technical audiences
    • Non-technical stakeholders
    • Intelligence users

What Would be Nice to Have

  • Experience applying CV and machine learning (ML) techniques to EO imagery and data to address intelligence problems