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Remote Data Annotation Specialist Jobs in Virginia

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Remote Data Annotation Specialist information

What skills and qualifications are needed to thrive as a remote data annotation specialist?

To thrive as a Remote Data Annotation Specialist, you need strong attention to detail, familiarity with data labeling guidelines, and a basic understanding of data structures, often supported by a high school diploma or relevant training. Experience with annotation platforms, data management tools, and sometimes basic scripting languages is typically required. Excellent time management, communication skills, and the ability to work independently help individuals excel in this remote role. These skills ensure high-quality, consistent, and efficient data labeling, which is critical for training accurate machine learning models.

What challenges do remote data annotation specialists face, and how can they be managed?

Remote Data Annotation Specialists often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistency across large datasets, and managing tight deadlines. To overcome these, it's helpful to establish a structured work schedule, take regular breaks, and utilize annotation guidelines provided by the employer. Collaborative tools and periodic check-ins with team leads or peers can also help clarify questions and maintain quality standards, ensuring annotation accuracy and productivity.

What is a remote data annotation specialist?

Remote Data Annotation Specialists are professionals who label, tag, or categorize data—such as images, text, audio, or video—for use in machine learning and artificial intelligence projects. They work remotely, using specialized software tools to ensure data is accurately annotated according to project guidelines. Their work helps improve the performance of AI systems by providing high-quality, labeled datasets that algorithms can learn from. This role often requires attention to detail, basic technical skills, and the ability to follow instructions carefully.

What is the difference between Remote Data Annotation Specialist vs Remote Data Labeler?

AspectRemote Data Annotation SpecialistRemote Data Labeler
CredentialsHigh school diploma or equivalent; attention to detailHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote, often part of AI/ML teamsRemote, typically freelance or contract-based
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, computer vision
Common Search IntentUnderstanding roles, job requirements, and career pathFinding entry-level or freelance annotation jobs

The Remote Data Annotation Specialist and Remote Data Labeler roles both involve labeling data for AI and machine learning projects. However, the Specialist often performs more complex annotations and may work within a team, while the Labeler typically handles simpler tasks independently. Both roles require attention to detail and are common in AI industries, but the Specialist may have more responsibilities and slightly higher skill expectations.

What are the most commonly searched types of Data Annotation Specialist jobs in Virginia? The most popular types of Data Annotation Specialist jobs in Virginia are:
What are popular job titles related to Remote Data Annotation Specialist jobs in Virginia? For Remote Data Annotation Specialist jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotation Specialist jobs in Virginia look for? The top searched job categories for Remote Data Annotation Specialist jobs in Virginia are:
What cities in Virginia are hiring for Remote Data Annotation Specialist jobs? Cities in Virginia with the most Remote Data Annotation Specialist job openings:
Remote Data Annotation Specialist jobs near you
Infographic showing various Remote Data Annotation Specialist job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Journeyman Data & Insights Specialist

Seneca Holdings

Chantilly, VA • On-site, Remote

Full-time

Re-posted 7 days ago

Job description

Great Waters Federal is part of the Seneca Nation Group (SNG) portfolio of companies. SNG is Seneca Holdings' federal government contracting business that meets mission-critical needs of federal civilian, defense, and intelligence community customers. Our portfolio comprises multiple subsidiaries that participate in the Small Business Administration 8(a) program. To learn more about SNG, visit the website and follow us on LinkedIn.

Our team of talented individuals is what makes us successful. To support our team, we provide a balanced mix of benefits and programs. Your total rewards package includes competitive pay, benefits, and perks, flexible work-life balance, professional development opportunities, and performance and recognition programs. We offer a comprehensive benefits package that includes medical, dental, vision, life, and disability, voluntary benefit programs (critical illness, hospital, and accident), health savings and flexible spending accounts, and retirement 401K plan. One of our fundamental principles is to offer competitive health and welfare benefits to our team members, providing coverage and care for you and your family. Full-time employees working at least 30 hours a week on a regular basis are eligible to participate in our benefits and paid leave programs. We pride ourselves on our collaborative work environment and culture, which embraces our mission of providing financial and non-financial benefits back to the members of the Seneca Nation.

Great Waters Federal is seeking a Journeyman Data & Insights Specialist based in the National Capital Region or available for remote work. The selected candidate will be responsible for collecting, cleansing, and analyzing complex datasets to deliver actionable insights and comprehensive reports and dashboards that support informed business decisions. Frequently acting as lead analyst and bridging technical data expertise with business strategy by developing interactive dashboards to visualize performance trends and offer strategic recommendations to stakeholders.

Roles and Responsibilities include, but are not limited to:

  • Perform delivery work supporting analytics and data products, including requirements refinement and documentation, and program and project management.
  • Support requirements analysis for reporting/analytics use cases by translating stakeholder needs into detailed specifications (metrics definitions, dimensional logic, filters, data quality rules) and helps maintain artifacts.
  • Contribute to delivery documentation and supports user validation and test execution.
  • Deliver accurate, insightful, and actionable data analyses and recommendations in a timely manner to inform strategic decision-making, enhance operational planning, and support performance improvement efforts.
  • Ensure that high standards of data quality and integrity are upheld throughout the entire data lifecycle, encompassing data collection, preprocessing, analysis, interpretation, and reporting.
  • Actively detect and address data-related challenges, bottlenecks, or performance deficiencies to maintain the efficient operation of data analysis projects and data-driven initiatives.
  • Utilize statistical methodologies, data mining algorithms, and machine learning models to analyze large datasets, identify significant patterns, trends, and correlations, and generate actionable insights.
  • Transform business needs into specific goals for data analysis, develop hypotheses and research questions, and carry out exploratory data analysis to uncover important insights and new trends.
  • Develop and maintain reports, dashboards, and visualizations utilizing data visualization tools such as Tableau to effectively communicate key metrics, KPIs, and performance indicators to all stakeholders.
  • Produce both ad-hoc and recurring reports, analyses, and presentations to support business operations, strategic planning, and data-driven decision-making processes.

Basic Qualifications:

  • Bachelor's degree in Information Technology related field plus five (5) years of professional IT experience.
  • Must be able to successfully complete, pass, and maintain a public trust investigation.
  • Experience in creating and maintaining reports, dashboards, and visualizations utilizing data visualization tools such as Tableau to effectively communicate key metrics, KPIs, and performance indicators to stakeholders.
  • Excellent analytical skills, attention to detail, and strong problem-solving abilities.
  • Excellent written/verbal skills, translating technical info, stakeholder management.
  • Excellent communication and collaboration skills.

Equal Opportunity Statement:
Seneca Holdings provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex/gender, sexual orientation, national origin, age, disability, marital status, genetic information and/or predisposing genetic characteristics, victim of domestic violence status, veteran status, or other protected class status. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation and training. The Company also prohibits retaliation against any employee who exercises his or her rights under applicable anti-discrimination laws. Notwithstanding the foregoing, the Company does give hiring preference to Seneca or Native individuals. Veterans with expertise in these areas are highly encouraged to apply.