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From Home Semantic Web Jobs (NOW HIRING)

Systems Engineer, Senior

Annapolis Junction, MD · On-site

$106K - $146K/yr

... from an accredited college or university and 20+ years of experience or 25+ years experience in ... Experience with ontology and semantic web standards, including OWL (Ontology Web Language) and RDF ...

Systems Engineer, Senior

Annapolis Junction, MD · On-site

$106K - $146K/yr

... from an accredited college or university and 20+ years of experience or 25+ years experience in ... Experience with ontology and semantic web standards, including OWL (Ontology Web Language) and RDF ...

Applicants will must be able to work from home. A company laptop will be provided. The developer will work to bring creative visions (across multiple platforms including web, mobile and iPad) to life.

Systems Engineer, Senior

Annapolis Junction, MD · On-site

$106K - $146K/yr

... from an accredited college or university and 20+ years of experience or 25+ years experience in ... Experience with ontology and semantic web standards, including OWL (Ontology Web Language) and RDF ...

Apply semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships ... Develops and employs strategies to analyze key issues, draw conclusions from data, and recommend ...

Apply semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships ... Develops and employs strategies to analyze key issues, draw conclusions from data, and recommend ...

Apply semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships ... Strong problem-solving skills to manipulate data and draw insights from large structured and ...

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Showing results 1-20

From Home Semantic Web information

See salary details

$49.5K

$117.9K

$241K

How much do from home semantic web jobs pay per year?

As of Jul 15, 2026, the average yearly pay for from home semantic web in the United States is $117,880.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $128,000.00 per year, depending on experience, location, and employer.

Can you work remotely as a web developer?

Web developers, including those working on semantic web projects, often have the opportunity to work remotely, especially if their role involves coding, designing, or maintaining websites and web applications. Remote work typically requires strong communication skills, familiarity with collaboration tools, and the ability to manage tasks independently. Many companies offer flexible schedules and remote positions for web developers with relevant skills and experience.

What is the difference between From Home Semantic Web vs Data Analyst?

AspectFrom Home Semantic WebData Analyst
Required CredentialsKnowledge of Semantic Web technologies, RDF, OWL, SPARQLStatistics, data analysis, SQL, Excel
Work EnvironmentRemote, online collaboration, web-based toolsRemote or on-site, data visualization tools
Industry UsageWeb development, knowledge management, AIBusiness intelligence, finance, marketing
Search & Comparison IntentSemantic Web skills, remote Semantic Web jobsData analysis roles, remote Data Analyst jobs

From Home Semantic Web professionals focus on web technologies and knowledge representation, often working remotely in tech or AI industries. Data Analysts analyze data sets to inform business decisions, also frequently working remotely. While both roles can be remote, their skill sets, tools, and industry applications differ significantly.

How to make $1000 a week remotely?

In a remote semantic web-related role, earning $1000 weekly typically involves freelance or contract work such as data annotation, ontology development, or semantic data analysis, often requiring skills in semantic technologies, data management, and tools like SPARQL. Building a strong portfolio, gaining relevant certifications, and consistently applying to high-paying projects can help achieve this income level.

What is a 'From Home Semantic Web' job?

A 'From Home Semantic Web' job refers to remote positions involving the development, management, or application of semantic web technologies. These roles typically focus on structuring and connecting data on the internet using standards like RDF, OWL, and SPARQL, enabling machines to understand and interpret web content more effectively. Working from home in this field allows professionals to collaborate virtually on projects such as linked data, ontology design, or knowledge graph creation for various industries. Common job titles include Semantic Web Developer, Ontology Engineer, and Data Scientist, all of which can be performed remotely with the right technical setup.

How does working from home as a Semantic Web specialist impact collaboration with teams and project stakeholders?

As a Semantic Web specialist working remotely, collaboration typically relies on digital communication tools such as video conferencing, shared documentation platforms, and version control systems. You’ll often coordinate with data engineers, software developers, and project managers to align on ontology design, data integration, and implementation strategies. While remote work offers flexibility, it also requires proactive communication and self-management to ensure everyone stays aligned and project milestones are met. Regular virtual meetings and clear documentation are essential to address any challenges that arise due to differing time zones or asynchronous workflows.

How can I make 2000 a week working from home?

To earn $2000 weekly in a remote semantic web-related role, you can pursue freelance consulting, data annotation, or content creation that leverages your web development and semantic skills. Building a strong portfolio, gaining certifications in semantic technologies, and using platforms like Upwork or Freelancer can help secure high-paying projects. Consistent effort, specialized knowledge, and effective client management are key to reaching this income level.

What are the key skills and qualifications needed to thrive as a Semantic Web Specialist working from home, and why are they important?

To thrive as a Semantic Web Specialist, you need expertise in web technologies, ontologies, RDF, SPARQL, and typically a degree in computer science or a related field. Familiarity with tools like Protégé, semantic reasoners, and knowledge of standards such as OWL are commonly required. Strong analytical thinking, self-motivation, and effective remote communication skills are vital for success in a home-based role. These competencies ensure efficient development and integration of semantic technologies while maintaining productivity and collaboration remotely.

Do search engine evaluators work-from-home?

Search engine evaluators working from home perform tasks such as assessing search results and improving search algorithms remotely. They typically require a computer, internet connection, and sometimes specific training or certifications, and they often have flexible schedules. This role is commonly offered as a remote, part-time or full-time position.
More about From Home Semantic Web jobs
What cities are hiring for From Home Semantic Web jobs? Cities with the most From Home Semantic Web job openings:
What are the most commonly searched types of Semantic Web jobs? The most popular types of Semantic Web jobs are:
What states have the most From Home Semantic Web jobs? States with the most job openings for From Home Semantic Web jobs include:
Infographic showing various From Home Semantic Web job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, 1% Temporary, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $117,880 per year, or $56.7 per hour.
Systems Engineer, Senior

Systems Engineer, Senior

Everwatch

Annapolis Junction, MD • On-site

$106K - $146K/yr

Other

Re-posted yesterday


Job description

Job Title
Systems Engineer, Senior
Overview
EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country's most critical missions. We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success.
EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives.
Commitment to Non-Discrimination:
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Responsibilities
Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact in national security? You understand your customer's environment and how to develop the right systems for their mission. Your ability to translate real-world needs into technical specifications makes you an integral part of delivering a customer focused engineering solution.
As a Systems Engineer on our team, you will lead the design, development, and implementation of enterprise-scale data models, ontologies, and distributed systems that support advanced analytics, mission operations, and national security objectives. Your customers will trust you to not only architect and integrate enterprise systems, but also modernize and evolve them using advanced technologies including AWS, Kubernetes, Apache Kafka, and scalable semantic data frameworks. On our team, you'll have the opportunity to broaden your expertise across enterprise systems engineering, ontology and model development, cloud adoption, and high-throughput distributed computing environments. You'll collaborate with cross-functional teams, mentor engineers on modern development practices, and help deliver scalable, resilient, and well-documented mission platforms supporting next-generation intelligence and analytics capabilities.
Join us. The world can't wait.
Qualifications
You Have:
  • Experience with designing and implementing enterprise-scale ontologies, logical data models, graph modeling, semantic technologies, entity resolution, taxonomy management, and metadata tagging to support advanced analytics and discovery
  • Experience with architecting and integrating scalable backend systems and high-throughput data pipelines using Apache Kafka, including cluster management, topic configuration, message-key strategies, topic compaction, and performance tuning
  • Experience with deploying and orchestrating containerized applications within Kubernetes (K8s) environments, including the use of CRDs, Operators, and cloud-native architectures in AWS
  • Experience with Java, Spring Boot, API development, OpenAPI/Swagger documentation, and enterprise-grade backend service implementation
  • Experience with CI/CD automation, Infrastructure as Code (Terraform/CloudFormation), and enterprise systems engineering best practices within distributed computing environments
  • Knowledge of monitoring, observability, and performance management tools and frameworks including Prometheus, Grafana, ELK, Kafka clusters, and graph database technologies
  • Ability to translate business and operational requirements into technical specifications, architectural diagrams, scalable engineering solutions, and long-term platform strategies
  • Ability to provide technical leadership through troubleshooting complex distributed systems issues, mentoring engineering teams, and communicating architectural concepts to technical and executive stakeholders
  • TS/SCI with a polygraph
  • Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university and 20+ years of experience or 25+ years experience in lieu of degree

Nice If You Have:
  • Experience with Neo4j graph databases, including Cypher, APOC, and Graph Data Science (GDS) for advanced graph analytics and modeling
  • Experience with ontology and semantic web standards, including OWL (Ontology Web Language) and RDF (Resource Description Framework), for knowledge representation and linked data systems
  • Experience with social media sentiment analysis and its application to financial modeling, predictive analytics, or decision-support systems
  • Knowledge of data science, machine learning, and graph-based analytics applied to large-scale structured and unstructured datasets
  • Ability to design and apply quantitative, statistical, and computational methods to complex enterprise or mission-driven data problems
  • Ability to integrate and analyze multi-source datasets to develop semantic, scalable, and analytically rich data models

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with a polygraph is required.
Compensation at EverWatch is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $100.96 to $115.38 per hour. The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch's total compensation package for employees.
Job Locations
US-MD-Annapolis Junction
Skills
System Engineering, Architecture, Apache, Kafka, Kubernetes, Java, springboot, API