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Remote Research Data Collector Jobs (NOW HIRING)

Aptive

Data Analyst, Sr - AI Research Systems Support

$88K - $111K/yr

... data operations in healthcare, research, or enterprise operational environments ... This is a full-time (40 hours/week), 100% remote position. It is currently funded through September ...

Aptive

Data Analyst, Sr - AI Research Systems Support

$85K - $108K/yr

... data operations in healthcare, research, or enterprise operational environments ... This is a full-time (40 hours/week), 100% remote position. It is currently funded through September ...

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How much do remote research data collector jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for remote research data collector in the United States is $20.20, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $24.04 per hour, depending on experience, location, and employer.

What is a Remote Research Data Collector?

A Remote Research Data Collector is a professional who gathers, organizes, and analyzes data for research projects while working from a remote location. Their responsibilities typically include collecting data through surveys, interviews, or online databases, ensuring the accuracy and integrity of the information, and sometimes assisting with data entry and reporting. This role is commonly used in academic, scientific, marketing, and business research settings, allowing organizations to collect valuable data without requiring staff to be physically present. Remote Data Collectors must have strong attention to detail, good organizational skills, and proficiency with digital tools used for data gathering and management.

What are the key skills and qualifications needed to thrive as a Remote Research Data Collector, and why are they important?

To thrive as a Remote Research Data Collector, you need strong analytical skills, attention to detail, and proficiency in data collection methodologies, often supported by a relevant degree or research experience. Familiarity with survey tools, spreadsheet software like Excel, and data management platforms is typically required. Excellent time management, self-motivation, and clear written communication set top performers apart in remote environments. These skills are crucial for ensuring the accuracy, reliability, and integrity of research data collected independently.

How do Remote Research Data Collectors typically collaborate with research teams when working from different locations?

Remote Research Data Collectors often use digital tools such as shared databases, communication platforms, and project management software to stay connected with research teams. Regular virtual meetings and clear documentation are essential to ensure everyone is aligned on project objectives and data quality standards. Despite working independently, frequent updates and feedback from supervisors or team leads help maintain consistency and address any challenges promptly. This structure allows for flexibility while still fostering strong collaboration and accountability.
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Remote Research Data Collector jobs near you
Infographic showing various Remote Research Data Collector job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $42,020 per year, or $20.2 per hour.
Data Analyst, Sr - AI Research Systems Support

Data Analyst, Sr - AI Research Systems Support

Aptive

Remote

$88K - $111K/yr

Part-time

Posted 5 days ago

Aptive Environmental rating

5.3

Company rating: 5.3 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

29th of 31 rated pest control companies

Job description

Job Summary
Aptive Resources is seeking a Senior Data Analyst to support artificial intelligence (AI), analytics, and data modernization initiatives within the Department of Veterans Affairs (VA) Office of Research and Development (ORD). This role supports enterprise AI activities focused on research portfolio analysis, operational reporting, AI-enabled analytics, and development of scalable data capabilities supporting research, policy, and operational decision-making.
The Senior Data Analyst will support data analysis, reporting, statistical programming, and analytics activities associated with strategic AI initiatives, research operations, and enterprise modernization efforts. The position will work closely with technical teams, project managers, operational leadership, and stakeholders to support data integration, reporting automation, AI pilot initiatives, and analytics-driven operational improvements.
The ideal candidate will have experience supporting analytics, reporting, statistical analysis, and enterprise data operations in healthcare, research, or enterprise operational environments.
This is a full-time (40 hours/week), 100% remote position.
It is currently funded through September 29, 2026 under the current contract period of performance, with potential for extension into the next option year based on contract continuation and program needs.
Primary Responsibilities
  • Support analytics and reporting activities associated with enterprise AI, research, and operational modernization initiatives.
  • Develop and maintain dashboards, reports, data visualizations, and operational analytics supporting leadership decision-making.
  • Perform data extraction, transformation, analysis, validation, and reporting activities across multiple enterprise data sources.
  • Support development and optimization of ETL workflows, reporting processes, and analytics activities.
  • Conduct statistical programming, data analysis, and operational reporting activities supporting research and organizational priorities.
  • Support AI-enabled analytics initiatives, including activities involving large language models (LLMs), retrieval workflows, and operational data analysis.
  • Assist with development of scalable analytics workflows and rapid testing approaches to improve operational efficiency and reporting responsiveness.
  • Support integration and analysis of data from research systems, operational platforms, databases, and cloud-based environments.
  • Collaborate with technical and operational stakeholders to support AI pilots, analytics initiatives, and reporting priorities.
  • Support data quality management, validation, and continuous improvement activities.
  • Prepare summaries, presentations, dashboards, and executive-level reporting materials for technical and non-technical audiences.

Minimum Qualifications
  • Bachelor's degree in data science, statistics, computer science, healthcare informatics, mathematics, public health, or a related field.
  • 8+ years of experience supporting data analytics, reporting, statistical programming, or enterprise data operations in a complex organization.
  • Experience with SQL, Python, ETL processes, databases, and analytics/reporting environments.
  • Experience developing dashboards, reports, data visualizations, or business intelligence solutions.
  • Experience supporting cloud-based analytics, data warehouse, or data lake environments.
  • Familiarity with AI/ML technologies, large language models (LLMs), or AI-enabled analytics workflows.
  • Strong analytical and problem-solving skills with the ability to synthesize complex data into actionable insights.
  • Experience supporting data quality management and validation activities.
  • Ability to communicate technical findings clearly to executive and non-technical stakeholders.
  • Proficiency with Microsoft Office Suite, including Excel and PowerPoint.
  • Ability to work independently in a remote environment while managing multiple priorities.
  • Ability to obtain and maintain a public trust clearance.
  • Legal authorization to work in the United States.

Desired Qualifications
  • Experience supporting VA, VHA, federal healthcare, research, or enterprise analytics environments.
  • Experience with Power BI, Tableau, or similar business intelligence and visualization platforms.
  • Experience supporting AI-enabled analytics, retrieval workflows, or data-driven reporting solutions.
  • Familiarity with REDCap, healthcare data systems, or research data environments.
  • Experience supporting operational analytics, portfolio analysis, or reporting modernization initiatives.
  • Familiarity with cloud platforms such as Azure or AWS.
  • Experience working in fast-paced, matrixed environments supporting multiple concurrent priorities.
  • High degree of professionalism, discretion, and mature judgment in handling sensitive information.

About Aptive
Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation.
We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day.
Founded: 2012
Employees: 300+ nationwide
EEO Statement
Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class.
Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.

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