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Data Annotation Services Jobs in Silver Spring, MD

Beyond SOF

DATA ENGINEER

Reston, VA · On-site

$119.30K - $143.30K/yr

Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server ... Our FOMA initiative relies heavily on Amazon Web Services (AWS) infrastructure Clearance: AN ACTIVE ...

teKnoluxion

VLM Engineer

Springfield, VA

Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems ... Familiarity with data annotation platforms and active learning workflows for imagery * Experience ...

teKnoluxion

VLM Engineer

Reston, VA

Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems ... Familiarity with data annotation platforms and active learning workflows for imagery * Experience ...

teKnoluxion

VLM Engineer

Reston, VA · On-site

Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems ... Familiarity with data annotation platforms and active learning workflows for imagery * Experience ...

New

teKnoluxion

VLM Engineer

Reston, VA

Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems ... Familiarity with data annotation platforms and active learning workflows for imagery * Experience ...

New

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Data Annotation Services information

What are the key skills and qualifications needed to thrive in Data Annotation Services, and why are they important?

To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.

What are some common challenges faced when working in data annotation services, and how can I address them?

In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.

What are data annotation services?

Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.

What is the difference between Data Annotation Services vs Data Labeling Specialists?

AspectData Annotation ServicesData Labeling Specialists
CredentialsTypically no formal credentials required; focus on trainingOften have training in specific tools or industry standards
Work EnvironmentCollaborative, often remote or in-office teamsSimilar, working in teams or independently on labeling tasks
Industry UsageUsed by AI/ML companies for training datasetsEmployed in similar settings, focusing on labeling data for AI models
Search & Comparison IntentUnderstanding services offered for data preparationLooking for roles or tasks related to data labeling

Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.

What job categories do people searching Data Annotation Services jobs in Silver Spring, MD look for? The top searched job categories for Data Annotation Services jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Data Annotation Services jobs? Cities near Silver Spring, MD with the most Data Annotation Services job openings:
Data Annotation Services jobs near you
DATA ENGINEER

DATA ENGINEER

Beyond SOF

Reston, VA • On-site

$119.30K - $143.30K/yr

Full-time

Posted 4 days ago

Job description

Essential Job Responsibilities:
Designs, implements, and operates data management systems for intelligence needs
Designs how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems.
Works with data users to determine, create, and populate optimal data architectures, structures, and systems.
Plans, designs, and optimizes data throughput and query performance.
Participates in the selection of backend database technologies (e.g. SQL, NoSQL, HPC, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume. ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness ..
Serves as the technical representative present during all deployments to address any technical or security issues.
Advises government principals as to the potential implications of said solutions.
Assists with ensuring certification for new releases are presented to the Change Advisory Board.
Coordinates activities, monitor progress, interact with UNIT personnel and Chief Information Office (CIO) personnel to meet requirements in achieving certification and authorization to release updates on NETWORK
Possesses a general understanding of the business cycle associated with conventional arms purchase transactions and various IC message traffic systems
Possesses the ability to visually display quantitative information
Applies the following technical skills to develop an ORACLE database and PostgreSQL database and enhance its capabilities:
Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server Pages (JSP) 2.2, Servlet Filters, Java Server Pages Standard Tag Library (JSTL)
Web-HTML, Javascript, Dynamic HTML (DHTML) and Asynchronous Javascript and XML (AJAX)
Open Source APls -Struts (MVC framework), Hibernate (Object Relational Mapping (ORM), persistence, caching, searching), iText (PDF generation). POI (MS Excel generation), JFreeChart (graphs & charts), Simple (XML serialization), Display Tag (table generation)
Database-ORACLE 12. l.0.2vl3 database and PostgreSQL 11.1-Rl database (or most recent version), maintenance. tuning and configuration
Email -JavaMail
Security -Java Cryptography Extensions/Java Secure Socket Extension (JCE/JSSE) APL DoDIIS Public Key Infrastructure (PKI), HTTPS/SSL programming and configuration, CAPCO (rules and automated parsing or validation). Access Controls: Role Base Access Controls (RBAC), Mandatory Access Control (MAC) and Discretionary Access Control (DAC), PL3 security and auditing requirements
Web/App Server-Apache Tomcat 7+
AWS Certification: Our FOMA initiative relies heavily on Amazon Web Services (AWS) infrastructure
Clearance: AN ACTIVE TS/SCI with CI scope polygraph is required

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