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Remote Content Labelling Jobs in Washington (NOW HIRING)

Kaiva Tech

Technical Writer

Washington, DC · On-site +1

Remote Summary Overview : The Office of Integrated Food Safety System Partnerships (OIFSSP) leads ... labeling of the nation's food supply. Additionally, the office fulfills a critical role in the ...

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Remote Content Labelling information

What are some common challenges faced in remote content labelling roles and how can they be managed?

Remote content labellers often encounter challenges such as maintaining focus during repetitive tasks, managing ambiguous guidelines, and ensuring consistent quality across large datasets. To address these, it's helpful to establish a structured daily routine, actively participate in team discussions or feedback sessions, and utilize available resources for clarification on guidelines. Collaborating with team leads and other labellers through chat platforms also helps in resolving uncertainties efficiently and maintaining high accuracy standards.

What are the key skills and qualifications needed to thrive as a remote content labeller, and why are they important?

To thrive as a Remote Content Labeller, you need strong attention to detail, analytical thinking, and familiarity with content guidelines, typically supported by a high school diploma or equivalent. Experience with content management systems, annotation tools, and sometimes specific training on labeling protocols is often required. Excellent communication, time management, and the ability to work independently are valuable soft skills for this role. These skills ensure accurate and consistent labeling, which is critical for training AI systems and maintaining content quality at scale.

What is remote content labelling?

Remote content labelling is the process of identifying, tagging, or classifying various types of digital content—such as images, videos, text, or audio—from a remote location, typically from home. This work is crucial for training machine learning algorithms and improving artificial intelligence systems, as labelled data helps computers understand and process information. Remote content labellers use specific guidelines and tools provided by their employer or client to ensure consistency and accuracy. The job often requires attention to detail, good communication skills, and the ability to follow instructions closely.

What is the difference between Remote Content Labelling vs Remote Data Annotation?

AspectRemote Content LabellingRemote Data Annotation
Primary FocusLabeling and categorizing content such as images, videos, and text for machine learningAdding detailed annotations to data to improve model accuracy, often including bounding boxes, segmentation, or key points
Skills RequiredAttention to detail, understanding of content types, basic data handlingTechnical skills, familiarity with annotation tools, precision in marking data
Work EnvironmentRemote, flexible hours, often part-time or freelanceRemote, similar flexible setup, often within AI or ML projects

Both roles involve working remotely to prepare data for AI models, but Content Labelling primarily involves categorizing content, while Data Annotation requires detailed technical markings. Understanding these differences helps job seekers find the right fit for their skills and career goals.

What are the most commonly searched types of Content Labelling jobs in Washington? The most popular types of Content Labelling jobs in Washington are:
What are popular job titles related to Remote Content Labelling jobs in Washington? For Remote Content Labelling jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Content Labelling jobs in Washington look for? The top searched job categories for Remote Content Labelling jobs in Washington are:
What cities in Washington are hiring for Remote Content Labelling jobs? Cities in Washington with the most Remote Content Labelling job openings:
Remote Content Labelling jobs near you

Jr. Geospatial Analyst - DHS

cFocus Software Incorporated

Springfield, VA • Remote

Full-time

Re-posted just now

Job description

cFocus Software seeks a Jr. Geospatial Analyst to join our program supporting the Department of Homeland Security (DHS). This position is remote. This position requires a Public Trust Clearance.
Qualifications:
  • Bachelor’s or master’s degree in IT, Computer Science, Geography or a related field.
  • 1-3 years of relevant professional, internship, academic, military, or project experience in GIS, geospatial analysis, cartography, data management, or location intelligence.
  • Foundational experience using ESRI technology such as ArcGIS Pro, ArcGIS Enterprise/Portal, ArcGIS Online, web maps, hosted feature layers, Dashboards, or comparable GIS tools.
  • Understanding of spatial data concepts, coordinate systems, projections, geocoding, vector and raster data, attributes, metadata, data quality, and basic spatial analysis.
  • Ability to work with common tabular, JSON, web-service, and geospatial formats and to organize and validate data systematically.
  • Basic experience with Python, ArcGIS Notebooks, SQL, Arcade, or another scripting/query language used for data processing or GIS automation.
  • Strong attention to detail, analytical reasoning, documentation, organization, communication, and willingness to learn in a collaborative Agile environment.
  • Ability to satisfy DHS suitability, background-investigation, Entry on Duty, security, and system-access requirements for the assigned position.
Duties:  
  • Acquire, receive, organize, process, update, and maintain geospatial and operational datasets supporting DHS GMO mission programs.
  • Prepare data for upload, publication, visualization, analysis, sharing, archival, and retrieval within ESRI Portal, ArcGIS Online, GII repositories, and other approved environments.
  • Perform routine geoprocessing, spatial analysis, data conversion, coordinate validation, field mapping, joins, selections, overlays, and other assigned GIS production activities.
  • Query and maintain archived geospatial information in open, accessible, and available standards and support applicable data backup, recovery, and records-retention activities.
  • Follow established naming conventions, folder and repository structures, versioning practices, access restrictions, and data-handling procedures
  • Perform data-quality assurance and quality-control checks for completeness, accuracy, consistency, currency, schema compliance, geometry, attribution, duplication, and usability.
  • Document data-quality findings, corrections, assumptions, limitations, source lineage, and unresolved issues; escalate material concerns to senior staff.
  • Create and maintain dataset, service, and database metadata in accordance with DHS geospatial methodologies, approved standards, and program procedures.
  • Assist with database metadata design, repository maintenance, data dictionaries, field definitions, source descriptions, terms of use, points of contact, and update schedules.
  • Support reconciliation of published layers, web services, source data, metadata, and related documentation so that information remains accurate and traceable.
  • Design, configure, publish, and maintain web maps, hosted layers, and geospatial services under established technical and governance procedures.
  • Configure appropriate symbology, labeling, pop-ups, filters, fields, scales, legends, and other presentation settings to meet user and mission requirements.
  • Create and update ArcGIS Dashboards that present real-time information, key performance indicators, status, trends, and operational context.
  • Assist with Experience Builder applications and other ESRI web experiences by configuring maps, widgets, data sources, layouts, and user-facing content.
  • Validate that published products display accurate information, perform as expected, and support applicable accessibility, security, and user requirements
  • Participate in requirements discussions and translate stakeholder data, mapping, visualization, and reporting needs into documented Jira stories, tasks, acceptance criteria, and data specifications.
  • Execute assigned manual and automated test cases for data workflows, maps, layers, dashboards, services, and geospatial applications; record results and document defects.
  • Support user acceptance, integration, regression, data-quality, and operational testing and verify that corrections meet defined requirements.
  • Participate in Agile ceremonies, sprint planning, backlog refinement, demonstrations, reviews, and retrospectives; keep assigned work and blockers current in Jira.
  • Use Confluence, GitLab, and other Government-approved tools to maintain documentation, scripts, configuration items, decisions, and work products

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