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Data Collection Associate Jobs in Poolesville, MD

Research Assistant - PRN

Washington, DC · On-site

$18.70 - $32.72/hr

Performs qualitative and/or quantitative research data collection as requested. * Assists with data ... Associate's degree in a health or science related field or equivalent education/experience required ...

... data collection, validation, transformation, and reporting. * Advanced Microsoft Excel skills ... An Associates and 2 years of experience in cybersecurity or network security roles. * Masters ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

... collection. • Applies statistical modeling, data visualization, and predictive analytics to ... Developer Associate • AWS Certified Solutions Architect Associate • AWS Certified Cloud ...

Senior Tax Associate, Indirect Tax

Mclean, VA · On-site

$82K - $102K/yr

Senior Tax Associate, Indirect Tax Our Global Tax team is seeking a Senior Tax Associate within our ... Work closely with business units, finance and procurement functions to coordinate data collection ...

Senior Tax Associate, Indirect Tax Our Global Tax team is seeking a Senior Tax Associate within our ... Work closely with business units, finance and procurement functions to coordinate data collection ...

Under the general supervision of the NCSA Associate Administrator, the Director for the Office of Data Acquisitions leads national crash investigation and data collection programs. The Director ...

Showing results 41-60

Data Collection Associate information

See Poolesville, MD salary details

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How much do data collection associate jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for data collection associate in Poolesville, MD is $20.54, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $22.93 per hour, depending on experience, location, and employer.

What is a data collection associate?

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 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.

Is data collection a good job?

Data collection as a job involves gathering information for research, marketing, or analysis purposes. It often requires attention to detail, basic computer skills, and can be part-time or full-time, with pay varying based on experience and complexity of tasks. The role can be suitable for those seeking flexible schedules or entry-level work, but it may involve repetitive tasks and limited advancement opportunities.

What skills are needed for data collection associate jobs?

Data Collection Associates need strong attention to detail, good organizational skills, and the ability to follow instructions accurately. Proficiency with data entry tools, basic computer skills, and sometimes familiarity with databases or spreadsheets are also important. Good communication skills and the ability to work independently or as part of a team are beneficial for success in this role.

What cities near Poolesville, MD are hiring for Data Collection Associate jobs?

Cities near Poolesville, MD with the most Data Collection Associate job openings:

Infographic showing various Data Collection Associate job openings in Poolesville, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $42,716 per year, or $20.5 per hour.

Legal Practice Technology Data Scientist

Washington, DC • On-site

Full-time

Medical, Retirement, PTO

Re-posted 22 days ago


Key responsibilities

  • Support the collection of requirements and design and build in-house solutions, including custom scripting, data management, database development, and visualization design.

  • Analyze and troubleshoot data processing and analytics issues, developing custom eDiscovery workflows and executing data-heavy, data-modeling projects.

  • Collaborate with data science teams and leadership to evaluate and test internal solutions and emerging technology, contributing technical expertise in AI.


Job description

About Kirkland & Ellis
At Kirkland & Ellis, we don't just meet the standard for legal excellence - we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 24 offices worldwide. Our dedicated professionals share our lawyers' commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.
What You'll Do
If you have spent your career in eDiscovery and litigation support and are ready to apply that foundation, along with a broader technical skill set, to a wider scope of work, this could be the role for you.
Impact. Data Scientists sit within a group of discovery, data management, and AI specialists dedicated to designing and executing client-focused workflows on some of the most complex matters in our industry. You will report to the Associate Director of Technical Operations. The role is hands-on and client-facing; more than half of your time will be spent directly embedded in active matters. This position sits within the firm's Innovation Program.
Coordination and Execution of In-house Solution Development. You will support the collection of requirements and the design and building of in-house solutions. You will consult with case teams on data strategies and execute rapid solution development including custom scripting, data management, database development, and visualization design. You will complete requests requiring advanced technologies such as document layout analysis, LLM-based information extraction, semantic chunking, and entity recognition, while maintaining comprehensive documentation throughout.
Data Project Service Delivery. You will support matter-specific needs as a subject matter resource, analyzing and troubleshooting data processing and analytics issues. You will develop custom eDiscovery workflows and execute data-heavy, data-modeling projects that require creative problem-solving and technical depth.
Department Initiatives. You will work closely with other data science teams and Legal Practice Technology ("LPT") leadership to evaluate and test internal solutions and emerging technology. You will serve as a go-to resource for technical knowledge in AI, contributing your expertise to the team's continuous advancement of its capabilities.
What You'll Bring
• 3+ years of experience in a law firm, legal services, or professional services organization with significant experience working in a team environment.
• Ability to translate complex concepts into client-friendly language.
• Highly analytical with strong problem-solving skills and the ability to translate ambiguous problems into structured solutions.
• Knowledge of statistical analysis and data modeling.
• Demonstrated hands-on experience with Relativity custom development. Deep knowledge in eDiscovery-focused data processing, structured analytics, and related troubleshooting.
• Expert-level proficiency in Microsoft Excel, including VBA development, Power Query, complex formula construction, advanced data modeling, and chart design.
• Experience in creating data visualizations with hands-on proficiency in tools such as Plotly, Tableau, and Microsoft Power BI.
• Strong Python skills for data analysis, statistical modeling, and AI/ML prototyping (e.g., pandas, PyTorch, TensorFlow); advanced SQL proficiency; experience building data pipelines.
• Proficiency in front-end web technologies including JavaScript, HTML, and CSS, with the ability to develop interactive web-based tools and dashboards.
• Hands-on experience with AI platforms and tools (e.g., OpenAI, Microsoft Azure OpenAI, Hugging Face, LangFlow, LangChain), including practical implementation of RAG pipelines, vector databases, and knowledge graph construction.
• General knowledge of social network analysis, natural language processing, classification algorithms, and image processing.
• Familiarity with git, svn, JIRA, or other version control technologies.
• Familiarity with hardware platforms (e.g., CPUs, GPUs, FPGAs).
• Bachelor's degree.
• Familiarity with leading legal technology platforms is preferred (docketing systems, document management systems, case management systems, eDiscovery, data collection and web capture solutions).
• Experience evaluating LLM output quality through benchmarking, precision, recall, and extraction accuracy assessment is preferred.
Compensation
The base salary range below represents the low and high end of the salary range for this position in each of the below locations. This range may differ based on your geographic location and cost of living considerations. At Kirkland & Ellis, we consider compensation more than just a base salary. We offer an exceptional range of flexible benefits including comprehensive healthcare, paid time off, and retirement. We also offer personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work.
Compensation Range:
Chicago: $133,000 - $150,000
New York City: $133,000 - $166,000
Los Angeles: $133,000 - $166,000
Bay Area: $133,000 - $191,000
Washington D.C.: $133,000 - $166,000
Boston: $133,000 - $166,000
How to Apply
Thank you for your interest in Kirkland & Ellis LLP. To complete an application and submit your resume, please click "Apply Now."
Don't meet every job requirement? That's okay! If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others at Kirkland.
Equal Employment Opportunity
The Firm will consider for employment qualified applicants with arrest and conviction records and criminal histories consistent with local laws.
All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee's race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. #LI-Hybrid #LI-LB1 #LI-Remote