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Virtual Data Labelling Jobs in Virginia (NOW HIRING)

Otsuka

... on-label information based on approved content. Position Overview This position is designed to ... Personally engage customers through various virtual or digital tools. * Direct customers to other ...

Siltt LLC

Principal Network Technician

Leesburg, VA

$120K - $155K/yr

From delivering world-class modular data center facilities to all-hours, 365-day operational ... Serve as "Virtual Hands" for the NOC during a complex hardware refresh, performing card-level swaps ...

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Virtual Data Labelling information

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

To thrive as a Virtual Data Labeller, you need strong attention to detail, accuracy, and basic data processing skills, typically supported by a high school diploma or relevant experience. Familiarity with data annotation tools, content management systems, and sometimes basic programming or spreadsheet software is important. Strong time management, focus, and effective communication skills help you meet deadlines and collaborate with remote teams. These abilities are crucial to ensure high-quality, consistent data labelling that directly impacts the performance of machine learning models.

How does a virtual data labeller typically collaborate with data scientists and machine learning engineers?

Virtual data labellers play a crucial role in supporting data scientists and machine learning engineers by accurately tagging data that will be used to train and validate models. Collaboration often occurs through project management tools or direct communication platforms, where labellers receive guidelines and feedback to ensure consistency and quality. Regular check-ins or quality audits are common, and labellers may join virtual meetings to clarify requirements or discuss ambiguous cases. This teamwork helps ensure that the labelled data meets project standards and contributes to the success of AI initiatives.

What is virtual data labelling?

Virtual data labelling is the process of annotating or tagging data, such as images, videos, or text, through online platforms to make it understandable for machine learning algorithms. Data labelers work remotely to identify and categorize objects, features, or information within datasets, which helps train artificial intelligence systems. This job is essential in industries like autonomous vehicles, healthcare, and e-commerce, where large volumes of labelled data are needed to improve AI accuracy.

What is the difference between Virtual Data Labelling vs Data Annotation Specialist?

AspectVirtual Data LabellingData Annotation Specialist
CredentialsBasic computer skills, training in labelling toolsSimilar, often requires training in annotation software
Work EnvironmentRemote, online platformsRemote or on-site, depending on employer
Industry UsageAI, machine learning, autonomous vehiclesAI, computer vision, NLP projects
Search IntentLabeling data for AI modelsAnnotating data for machine learning

Both roles involve preparing data for AI systems, but Virtual Data Labelling focuses on assigning labels to datasets using online tools, while Data Annotation Specialists may perform more detailed annotations, often requiring specific domain knowledge. Both are essential in AI development and share similar work environments and skill requirements.

What are the most commonly searched types of Data Labelling jobs in Virginia? The most popular types of Data Labelling jobs in Virginia are:
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What job categories do people searching Virtual Data Labelling jobs in Virginia look for? The top searched job categories for Virtual Data Labelling jobs in Virginia are:
What cities in Virginia are hiring for Virtual Data Labelling jobs? Cities in Virginia with the most Virtual Data Labelling job openings:
Virtual Data Labelling jobs near you

DSCA Data Architect Senior - 28235

Mission Technologies, a division of HII

Arlington, VA • On-site

$77.50 - $103.75/hr

Full-time

Posted 14 days ago

Job description

Job Summary:
Mission Technologies, a division of HII, is seeking a talented mid-to senior-level Data Architect to enhance a centralized data environment that supports the Department of War. The role involves developing comprehensive data strategies and architectures to ensure auditable financial transaction data and improve decision-making for senior leadership.
Responsibilities:
• Designs, models, documents, and governs the logical and conceptual data architectures, relationships, and schema evolutions for complex, enterprise-scale applications in support of tracking and accountability reforms.
• Analyzes current and emerging system requirements, then develops comprehensive technical, structural, and organizational specifications to enable auditable, transparent data flows.
• Develops and implements end-to-end data architectures, including strategies for data ingestion, integration, storage, processing, quality assurance, and dissemination to support business objectives and mission needs.
• Applies big-picture thinking to map and align business processes with data requirements, ensuring holistic solutions that address collection from multiple sources, authoritative source identification, data formalization, and linkage through common, scalable architectures.
• Establishes data governance frameworks, including policies for standardization, quality, metadata management, and compliance with DoW regulations to promote consistency and reliability across hybrid environments.
• Collaborates with stakeholders to define enterprise data strategies, optimize pipelines (ETL/ELT), and incorporate technologies such as cloud platforms (e.g., AWS GovCloud, Azure Government), Big Data tools (e.g., Spark, Hadoop), and relational/NoSQL databases for secure, performant solutions.
• Designs approaches for automated data labeling, lifecycle management, monitoring, real-time ingestion, and integration of disparate data sources to support auditable and transparent operations.
• Evaluates emerging tools and technologies for data management, performs source assessments to determine the "right" authoritative data origins, and resolves integration challenges to maintain data integrity and traceability.
• Performs additional duties as assigned or required to advance mission goals.
Qualifications:
Required:
• Knowledge of data administration and data standardization policies and standards.
• Knowledge of the capabilities and functionality associated with various technologies for organizing and managing information (e.g., databases, bookmarking engines).
• Knowledge of the characteristics of physical and virtual data storage media.
• Skill in developing data models.
• Knowledge of data operations (DataOps) processes and best practices.
• Knowledge of how to collect, store, and monitor data.
• Skill in designing the best approach and architecture for automated data labeling and data lifecycle.
• Proficiency in programming languages such as SQL, Python, or Java for data manipulation, modeling, and analysis.
• Strong understanding of data modeling concepts (conceptual, logical, physical) and tools (e.g., ERwin, Visio).
• Demonstrated ability to think holistically about end-to-end data solutions, connect business processes to data architecture, and integrate information from diverse sources into unified frameworks.
• Ability to work independently while thriving in collaborative team settings.
• Self-motivated initiator with strong problem-solving skills and a proactive approach.
• Clearance: Must possess and maintain an active Secret clearance at the time of consideration.
• Remote-eligible position; must align with Eastern Time Zone core business hours.
• 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years experience with PhD in related field; or High School Diploma or equivalent and 9 years relevant experience.
• 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD in related field; or High School Diploma or equivalent and 13 years relevant experience.
Preferred:
• Strong understanding of transactional data flows, financial management systems, and auditability requirements in DoW/security cooperation contexts.
• Direct experience with Foreign Military Sales (FMS) programs and related data integration challenges.
• Experience working in DoW enterprise environments with emphasis on centralized data environments, transparency, and accountability reforms.
• Experience in SAFe Agile environments, including participation in PI planning, and Scrum/Kanban ceremonies.
• Familiarity with cloud-based data services (e.g., Azure Databricks, AWS S3/Glue), Big Data frameworks (e.g., Kafka for streaming), and governance tools for metadata and lineage tracking.
• Knowledge of DoW data policies, compliance standards (e.g., RMF), and best practices for multi-source data harmonization and authoritative sourcing.
• Advanced analytical skills, including experience in data strategy development, roadmap creation, and cross-functional collaboration to align technical designs with mission/business imperatives.
Company:
HII’s Mission Technologies division develops integrated solutions that enable today’s connected, all-domain force. Founded in 2011, the company is headquartered in Mclean, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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