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Data Annotation Services Jobs in Washington (NOW HIRING)

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 ...

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 ...

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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.

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What job categories do people searching Data Annotation Services jobs in Washington look for? The top searched job categories for Data Annotation Services jobs in Washington are:
What cities in Washington are hiring for Data Annotation Services jobs? Cities in Washington with the most Data Annotation Services job openings:
Data Annotation Services jobs near you
Geospatial Imagery Analysis SME- Quality Assurance Analyst II

Geospatial Imagery Analysis SME- Quality Assurance Analyst II

Enabled Intelligence

Falls Church, VA

Full-time

Posted 29 days ago

Job description

Geospatial Imagery Analysis SME- Quality Assurance Analyst II

Location: Falls Church, VA

Enabled Intelligence

Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs. Every Enabled solution starts with a team of highly-trained, US based data analysts that have both subject-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation.

At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved! If the idea of working in a collaborative, energetic and people focused environment where we are working together to build something meaningful excites you, Enabled Intelligence might just be the team you are looking for!

Geospatial Imagery Analysis SME/ Quality Assurance Analyst- II

The SME/QA II will report to the Enabled Intelligence Director, Quality Delivery. SMEs provide hands on technical support to Data Annotators, Quality Control Analysts to insure their success. SME's also perform Quality Assurance review as the final step before data is delivered to our customers. Analysts review labels created by the Enabled Intelligence annotation teams and identify, document, and correct errors as needed to ensure labeling campaigns meet contract accuracy requirements of 95% accuracy or higher. They will also document overall project error patterns and report them to Quality and Project Management.

Responsibilities

  • Provide onsite, real time expert level guidance to Data Annotators as they are working on projects
  • Provide expert guidance and support to QC Analysis on how to review/mark errors on images
  • Conduct QA of the QC to ensure 95% or higher accuracy rate as the final review before customer delivery
  • Review Project Metrics, Document project error patterns, and present information to Project Management
  • Review data to validate ontology and edge cases as part of the project kick off process
  • Work with QC and Annotation Team Supervisors to provide remedial support to team members who are struggling with performance.
  • Work with annotation team supervisors and the Chief People Office to learn how to work with people with different abilities, communication styles and workplace accommodations

Required Qualifications and Skills

  • Minimum of 5 years experience as a Geospatial Imagery Analyst or Geospatial Intel Analyst
  • Expert level experience working with Geospatial imagery including EO, IR and SAR
  • Expert level knowledge of Air, Naval and Ground vehicle order of battle
  • Previous experience doing QC/QA work with data annotation/imagery analysis
  • Completion of a formal Geospatial Imagery Analysis/Intelligence certification or training program
  • Passionate about working in a diverse, people focused environment and willingness to learn how to work with people with different abilities with different communication styles
  • Ability to work in the EI corporate office located in Falls Church, VA, Monday-Friday
  • Active Top Secret Clearance with the ability to obtain SCI

Desired Qualifications and Skills

  • Military experience
  • Previous experience working with the federal government
  • Communication experience providing feedback to management, peers, and team members
  • Previous management experience
  • Active TS-SCI Clearance

Physical Requirements

  • Prolonged periods of sitting at a desk and working on a computer
  • Standing and walking for multiple hours a day
 

Background Check & Security Clearance

  • Applicants selected will be subject to standard background check and are required to hold an active Top Secrete or higher US security clearance.

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