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Remote Data Cleaning Jobs in Reston, VA (NOW HIRING)

3B Staffing LLC

Data Scientist, AI Pilots

Arlington, VA · Remote

Data Scientist - AI Pilots Remote (Occasional travel to Rosslyn, VA) local to VA only Contract Need ... Clean, structure, and analyze complex datasets to support accurate model training and insights.

New

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Preprocess or clean structured and unstructured data, including text data. * Design and implement ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Preprocess or clean structured and unstructured data, including text data. * Design and implement ...

3B Staffing LLC

Data Scientist, AI Pilots

Arlington, VA · Remote

Data Scientist - AI Pilots Remote (Occasional travel to Rosslyn, VA) local to VA only Contract Need ... Clean, structure, and analyze complex datasets to support accurate model training and insights.

New

MELE Associates

Data Evaluator/Analyst

Washington, DC · On-site +1

$100/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role cleans and structures DOE and third-party datasets, applies statistical and econometric ... Benefits MELE Offers · Hybrid remote/office work environment. · Employer-paid employee Medical ...

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Collect, clean, and validate large volumes of structured and unstructured data. * Track data ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

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All JobsData Cleaning JobsRemote Data Cleaning JobsRemote Data Cleaning Jobs in Reston, VA

Remote Data Cleaning information

What is the difference between Remote Data Cleaning vs Remote Data Entry?

AspectRemote Data CleaningRemote Data Entry
Primary FocusIdentifying and correcting errors in datasets, improving data qualityInputting and updating data into systems accurately
Skills RequiredData analysis, attention to detail, familiarity with data toolsTyping speed, accuracy, basic computer skills
Work EnvironmentData analysis platforms, spreadsheets, specialized cleaning toolsData management software, spreadsheets, databases
CertificationsData analysis, Excel, database managementBasic computer skills, typing certifications

Remote Data Cleaning involves reviewing and correcting datasets to ensure accuracy, often requiring analytical skills. Remote Data Entry focuses on accurately inputting data into systems. While both roles require attention to detail, data cleaning emphasizes quality control, whereas data entry emphasizes speed and accuracy in data input.

What are the key skills and qualifications needed to thrive as a remote data cleaning specialist, and why are they important?

To thrive as a Remote Data Cleaning Specialist, you need strong analytical skills, attention to detail, and experience with data management, often supported by a degree in a quantitative field. Proficiency with tools such as Microsoft Excel, SQL, Python (pandas), and data visualization platforms is commonly required. Excellent problem-solving abilities, time management, and clear communication help you collaborate effectively and maintain data integrity. These skills ensure that datasets are accurate, reliable, and ready for analysis, which is crucial for informed business decision-making.

What is remote data cleaning?

Remote data cleaning is the process of identifying, correcting, or removing inaccurate, incomplete, or irrelevant data from datasets, all performed from a remote location rather than on-site. Professionals use specialized software and scripts to clean and organize data, ensuring its quality and consistency before analysis or use in business processes. This role is essential for organizations that rely on accurate data for decision-making and often involves tasks such as deduplication, error correction, and formatting standardization.

What are some common challenges faced when working remotely as a data cleaning specialist, and how can they be addressed?

Remote data cleaning specialists often encounter challenges such as inconsistent data formats, limited access to original data sources, and communication gaps with team members. To address these, it's important to establish clear data standards, use collaborative tools for real-time updates, and schedule regular check-ins with stakeholders. Staying organized and documenting data cleaning processes also helps maintain quality and ensures team alignment, even when working from different locations.
What are the most commonly searched types of Data Cleaning jobs in Reston, VA? The most popular types of Data Cleaning jobs in Reston, VA are:
What are popular job titles related to Remote Data Cleaning jobs in Reston, VA? For Remote Data Cleaning jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Data Cleaning jobs in Reston, VA look for? The top searched job categories for Remote Data Cleaning jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Data Cleaning jobs? Cities near Reston, VA with the most Remote Data Cleaning job openings:
Remote Data Cleaning jobs near you
Infographic showing various Remote Data Cleaning job openings in Reston, VA as of June 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% Remote job distribution.

Data Scientist, AI Pilots

3B Staffing LLC

Arlington, VA • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Scientist - AI Pilots Remote (Occasional travel to Rosslyn, VA) local to VA only Contract Need Linkedin of 2 Active referrences Python, AI/ML (NLP/LLMs), data pipelines, REST API integration, Microsoft Power Automate, Azure/AWS GovCloud, MLOps, and experience in secure government/healthcare environments. We are seeking a highly motivated Data Scientist to lead innovative AI pilot initiatives for defense and healthcare clients. This role focuses on designing and deploying AI-driven solutions to improve operational efficiency, automate workflows, and enable data-driven decision-making in secure and regulated environments. Responsibilities
  • AI/ML Development: Design, build, and deploy machine learning models and AI prototypes for mission-critical use cases such as workflow automation, document processing, and decision support.
  • Data Engineering: Develop Python-based data pipelines for ingestion, transformation, and modeling across multiple data sources and APIs.
  • Workflow Automation: Implement automation solutions using tools like Microsoft Power Automate to streamline business processes.
  • Data Preparation: Clean, structure, and analyze complex datasets to support accurate model training and insights.
  • Stakeholder Collaboration: Work closely with cross-functional teams and stakeholders to translate business challenges into technical solutions.
  • Pilot Execution: Lead AI pilots from concept to prototype and support transition into production-ready systems.
  • Documentation: Maintain clear technical documentation for architecture, workflows, and data models.
  • Compliance & Security: Ensure adherence to government security standards and regulatory requirements.
Required
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
  • 3-6 years of experience in Data Science, AI/ML, or analytics roles
  • Strong proficiency in Python (data pipelines, ML models, API integrations)
  • Experience with workflow automation tools (e.g., Microsoft Power Automate)
  • Hands-on experience with AI/ML solutions (predictive analytics, NLP, or LLMs)
  • Experience integrating REST APIs and working with multiple data sources
  • Strong analytical and problem-solving skills
  • Excellent communication and stakeholder management skills
  • Must be authorized to work in the U.S. without sponsorship
Preferred
  • Experience with Azure AI/ML, Azure Government, or AWS GovCloud
  • Knowledge of MLOps (CI/CD, model deployment, lifecycle management)
  • Prior experience supporting government or healthcare clients
  • Experience working in Agile environments with rapid prototyping

Apply