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Data Collection Associate Jobs in Maryland (NOW HIRING)

Sonepar

Business Data Analyst

Upper Marlboro, MD · On-site

This includes partnering with other Data Analysts on data collection, validation, and analysis ... associates: * Healthcare plans * Dental & vision * Paid time off * Paid parental leave * 401(k) ...

Sonepar

Business Data Analyst

Upper Marlboro, MD · On-site

This includes partnering with other Data Analysts on data collection, validation, and analysis ... associates: * Healthcare plans * Dental & vision * Paid time off * Paid parental leave * 401(k) ...

Hillis-Carnes

Hillis-Carnes Engineering Associates, Inc. (HCEA) is seeking multiple Land Surveying Field Crew ... Candidates must be competent in setting up survey control and performing data collection of ...

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All JobsData Collection Associate JobsData Collection Associate Jobs in Maryland

Data Collection Associate information

See Maryland salary details

$10

$20

$29

How much do data collection associate jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for data collection associate in Maryland is $20.04, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $22.40 per hour, depending on experience, location, and employer.

What skills are needed for data collection jobs?

Data collection associates need strong attention to detail, good organizational skills, and the ability to follow instructions accurately. Familiarity with data entry tools, basic computer skills, and sometimes knowledge of specific software or databases are also important. Good communication skills and reliability are essential for maintaining data quality and meeting deadlines.

How much do data collectors get paid?

Data Collection Associates typically earn between $10 and $20 per hour, depending on the employer, location, and experience. Some positions may offer additional incentives or flexible schedules, especially for part-time or remote work.

What jobs make $1,000,000 a year?

In the context of a Data Collection Associate, earning $1,000,000 annually is highly unlikely, as this level of income is typically associated with top executives, successful entrepreneurs, or highly specialized professionals in fields like finance, technology, or entertainment. Most data collection roles are entry-level or mid-tier positions with salaries significantly below this threshold. High earnings usually require advanced skills, extensive experience, or ownership of a business or intellectual property.

What are some common challenges faced by Data Collection Associates and how can they be managed effectively?

Data Collection Associates often encounter challenges such as ensuring data accuracy, maintaining consistency across multiple sources, and meeting tight deadlines. Effective management involves following standardized protocols, double-checking entries for errors, and using digital tools to streamline data capture. Collaborating closely with team members and supervisors can help resolve ambiguities and improve overall data quality. Regular training and feedback sessions also contribute to overcoming these challenges and enhancing performance.

What are the key skills and qualifications needed to thrive as a Data Collection Associate, and why are they important?

To thrive as a Data Collection Associate, you need strong attention to detail, data entry skills, and familiarity with research or survey methodologies, often supported by a relevant degree or coursework. Proficiency with data collection tools, spreadsheets like Microsoft Excel, and sometimes survey platforms or database systems is typically required. Excellent organization, communication, and problem-solving skills help ensure accurate, timely data gathering and collaboration with team members. These skills and qualities are crucial for producing reliable datasets that support accurate analysis and informed decision-making.

What does a data collection associate do?

A data collection associate gathers, records, and manages data from various sources to ensure accuracy and completeness. They often use tools like spreadsheets or data management software and may verify data quality or assist in data analysis as part of their role.

What are Data Collection Associates?

Data Collection Associates are professionals responsible for gathering, recording, and verifying data for a variety of purposes such as research, analysis, or business operations. They may collect information through surveys, interviews, observations, or by compiling data from existing records. Their work ensures that organizations have accurate and reliable data to inform decision-making, strategy, and reporting. Data Collection Associates often work in sectors like healthcare, market research, education, and government.
What are the most commonly searched types of Data Collection jobs in Maryland? The most popular types of Data Collection jobs in Maryland are:
What are popular job titles related to Data Collection Associate jobs in Maryland? For Data Collection Associate jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Data Collection Associate jobs in Maryland look for? The top searched job categories for Data Collection Associate jobs in Maryland are:
What cities in Maryland are hiring for Data Collection Associate jobs? Cities in Maryland with the most Data Collection Associate job openings:
Data Collection Associate jobs near you
Infographic showing various Data Collection Associate job openings in Maryland as of July 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $41,685 per year, or $20 per hour.
AI Data Management Specialist

AI Data Management Specialist

Cornerstone Defense

Bethesda, MD • On-site

Contractor

Re-posted 6 days ago

Job description

  • Location: Bethesda, Maryland
  • Type: Contract
  • Job #3905

Position - AI Data Management Specialist
Work Location - Bethesda, MD
Security Clearance - TS/SCI with CI Polygraph
Company Overview:
Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense.
Seeking an experienced and skilled AI Data Management Specialist to support the Chief AI Officer and Chief Data Officer (CAIO/CDO) at one of our Intelligence customers. The ideal candidate will have a solid foundation in data management, including practical and strategic expertise across the data lifecycle, data protection, and stakeholder coordination. In this role, you will engage with technical and non-technical senior government data managers to develop, implement, and refine their data management strategies while ensuring alignment with best practices in data protection, privacy, and civil liberties.
Familiarity with AI concepts and vectorization as it relates to AI is required, and knowledge of zero trust principles, and data architecture is highly desirable to enhance your contributions to this critical mission.
Primary Responsibilities
Data Lifecycle Management:
  • Provide expertise in practical and strategic aspects of the data lifecycle, including data collection, storage, usage, sharing, and archival/disposal.
  • Guide senior government stakeholders in the development and execution of comprehensive data management plans aligned with mission goals and compliance requirements.
  • Data Protection and Governance:

  • Deliver practical and strategic guidance on data protection, addressing risks related to data spills, personal information security, and civil liberties.
  • Ensure compliance with data protection policies, laws, and standards, and promote best practices to safeguard sensitive information and preserve privacy.
  • Stakeholder Coordination:

  • Act as a critical liaison, working directly with senior government data managers and technical teams to bridge technical and non-technical perspectives.
  • Facilitate communication and understanding of data management priorities, challenges, and solutions.
  • AI and Emerging Technologies:

  • Apply a foundational understanding of AI to advise on data strategies that enable AI implementation and clear adoption paths.
  • Contribute to discussions and planning related to advanced concepts such as vectorization in AI and data-driven solutions.
  • Strategic Recommendations:

  • Support senior leadership by identifying and addressing gaps in data infrastructure, strategy, and implementation.
  • Advise on policies and practices related to zero trust architecture, data architecture, and cross-organizational data-sharing initiatives.

Qualifications
  • Active TS/SCI with Poly is required.
  • Bachelor's degree with 8+ years of relevant experience, Associate's degree with 10+ years of relevant experience, or Master's degree with 6+ years of relevant experience.
  • Solid background in data management, with a firm, practical, and strategic understanding of the data lifecycle and its application in government or enterprise environments.
  • Understanding of vectorization in AI and its relationship to data usage and analytics.
  • Strong expertise in data protection, especially regarding issues such as data spills, safeguarding personal information, and addressing civil liberties.
  • Ability to coordinate with senior technical and non-technical stakeholders, including government senior data managers, to align data management initiatives with organizational priorities.
  • Familiarity with AI concepts and their implications for data usage and management.

Preferred Qualifications:
  • Knowledge or experience with zero trust architecture principles.
  • Expertise in data architecture design, principles, and governance, with the ability to speak confidently about its implications for strategy and implementation.
  • Experience working for or with Intelligence Community (IC) stakeholders or other government agencies.
  • Strong communication and interpersonal skills to convey complex technical concepts to diverse audiences.

Apply