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Data Encoder Home Based Jobs in Washington, DC (NOW HIRING)

@Orchard

Data Analysts & Data Scientists

Washington, DC · Remote

Data Analysts/Data Scientists Talent Pool for upcoming assignments Remote, Work-from-Home Must be a ... Compensation for this role will be determined based on the role level, plus your experience and ...

BCC-NIH

Staff Scientist

Bethesda, MD · On-site

Architect and scale a TREDNet-based framework for cloud-native execution * Optimize models for ... g., ENCODE, Roadmap Epigenomics, UCSC Genome Browser) * Familiarity with genomics data formats ...

ICF

Home Energy Auditor (Field- Based)

Waldorf, MD · On-site

$50K - $60K/yr

Complete detailed and accurate data collection and enter the data in the utility modeling software ... Experience with the home improvement market in Maryland (direct experience in production ...

BCC-NIH

Staff Scientist

Bethesda, MD · On-site

Architect and scale a TREDNet-based framework for cloud-native execution * Optimize models for ... g., ENCODE, Roadmap Epigenomics, UCSC Genome Browser) * Familiarity with genomics data formats ...

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All JobsData Encoder Home Based JobsData Encoder Home Based Jobs in Washington, DC

Data Encoder Home Based information

See Washington, DC salary details

$8

$35

$79

How much do data encoder home based jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for data encoder home based in Washington, DC is $35.54, according to ZipRecruiter salary data. Most workers in this role earn between $15.23 and $50.84 per hour, depending on experience, location, and employer.

What is a Data Encoder Home Based job?

A Data Encoder Home Based job involves entering, updating, and managing data in digital formats from the comfort of your home. Responsibilities typically include encoding information into databases, verifying data accuracy, and maintaining records. This role requires attention to detail, typing proficiency, and familiarity with data management software. Many companies hire remote data encoders for tasks like processing invoices, transcribing documents, or organizing customer information. It is a great option for those looking for flexible, work-from-home opportunities.

What are the key skills and qualifications needed to thrive in the Data Encoder Home Based position, and why are they important?

To thrive as a Data Encoder Home Based, strong typing skills, attention to detail, and accuracy in data entry are essential, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes basic knowledge of ERP software is typically required. Excellent self-motivation, time management, and the ability to work independently make a candidate stand out in this remote position. These skills and qualities ensure high-quality, error-free data processing and efficient workflow in a virtual work environment.

How to make 2000 a week working from home?

A data encoder working from home can increase earnings by taking on multiple projects, working efficiently, and improving skills such as data entry accuracy and speed. Earning $2000 weekly typically requires consistent high-volume work, possibly through freelance platforms or multiple clients, and maintaining a reliable schedule. Building a strong reputation and gaining experience can also lead to higher-paying opportunities in data encoding roles.

What are some common challenges encountered by Data Encoders working from home, and how can they be managed?

Data Encoders working from home often face challenges such as maintaining focus in a home environment, managing large volumes of repetitive tasks, and ensuring data accuracy with minimal supervision. Establishing a dedicated workspace and structured routine can help reduce distractions and maintain productivity. Utilizing productivity tools and setting regular self-checks ensures data quality and helps meet deadlines. Employers typically provide training and support channels, so don’t hesitate to reach out or participate in remote meetings to stay connected with your team.

What is a data encoder work from home?

A data encoder working from home is responsible for inputting, updating, and managing data in computer systems remotely. The role typically requires strong attention to detail, proficiency with data entry tools, and the ability to work independently within a flexible schedule.

What job makes $10,000 a month without a degree?

A data encoder working from home can potentially earn around $10,000 per month with experience, efficiency, and high-volume data entry tasks. Success depends on skill level, the complexity of projects, and the ability to work consistently, often requiring strong attention to detail and familiarity with data management tools.

How much do data encoders typically make?

Data encoders working from home typically earn between $10 and $20 per hour, depending on experience, skill level, and the complexity of the data being processed. Some positions may offer a fixed weekly or monthly salary, especially for full-time roles, while others pay per task or project. Compensation can also vary based on the employer and geographic location, even for remote work.
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What are popular job titles related to Data Encoder Home Based jobs in Washington, DC? For Data Encoder Home Based jobs in Washington, DC, the most frequently searched job titles are:
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Data Encoder Home Based jobs near you
Semantic Data and AI Engineer

Semantic Data and AI Engineer

Enterprise Knowledge

Arlington, VA • Remote

$117K - $140K/yr

Full-time

Posted 27 days ago

Job description

Enterprise Knowledge (EK) is hiring for a full-time Semantic Data and AI Engineer to join our growing Knowledge and Data Services Sector. In this role, you will be responsible for designing and deploying cutting-edge data discovery, integration, and governance solutions for a wide range of organizations around the world. The Semantic Data and AI Engineer will be part of a team working on innovative projects and developing orchestrated data solutions to integrate, enrich, and transform a range of knowledge assets (structured and unstructured) for Artificial Intelligence (AI) solutions. This individual will be able to quickly learn new technologies and apply them to business challenges at large corporations, organizations, and federal agencies. The right candidate will have a passion for working with diverse data types and applying new methods and approaches to data challenges with a strategic mindset to advise clients on enterprise AI transformations.

As an EK Semantic Data and AI Engineer, you will join a fast-growing company that is committed to equity and inclusion, have the opportunity to work in a collaborative workplace, take advantage of our unique benefits, and help build our innovative culture. To read more about the impactful work we are doing and to see the latest thought leadership from EK, follow us on LinkedIn.

Responsibilities
  • Work with data subject matter experts and business users to effectively understand and model their domain of knowledge
  • Apply NLP techniques (entity extraction, classification, and document processing) to transform raw data and content into AI-ready assets
  • Design, implement, test, and operate end-to-end RAG workflows for client engagements, including retrieval pipeline architecture, embedding strategies, and response evaluation
  • Contribute to agentic AI solution design and implementation, including orchestration patterns, tool use, and memory and retrieval integration
  • Support a variety of business intelligence projects using AI-based solutions
  • Analyze complex datasets and communicate insights to both technical and non-technical stakeholders
  • Design and implement data pipelines for ingesting, processing, and enriching structured and unstructured content using SQL, Python, R, or equivalent languages
  • Contribute to semantic layer and knowledge graph implementations as part of larger AI solution architectures
  • Work with internal and external teams to contextualize data engineering work into larger project context

Requirements

As a federal contractor, Enterprise Knowledge will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer.

Our office is located in Arlington, VA, and operates on a hybrid model. While local candidates are preferred, we are also able to hire remote candidates residing in the following states: CO, FL, MA, NC, NH, NM, NY, OR, PA, RI, TX, and WA.

Required Skills and Qualifications:
  • Bachelor’s degree in math, statistics, economics, data science, computer science, or a related field
  • 5+ years experience working on data analysis project(s) designing reports and designing data analysis approaches and visualizations in a production setting
  • Proven experience working directly with clients, providing briefings, facilitating meetings, and presenting work products
  • Experience applying machine learning methods and statistical analysis to business use cases
  • Proficiency in programming languages such as Python, R, or similar for data analysis and modeling
  • Experience with NLP methods: entity extraction, text classification, document processing, or similar techniques applied to unstructured data in a production setting
  • Hands-on experience building and optimizing RAG pipelines, including embedding strategies, reranking, and cross-encoder models
  • Familiarity with retrieval quality and evaluation metrics (precision, recall, MRR, and user-centric evaluation approaches)
  • Experience implementing monitoring and observability for RAG and AI components, including latency, success rate, cache hit rate, retrieval quality, and data drift
  • Familiarity with data modeling, database architecture, and data integration, aggregation and normalization across heterogeneous sources
  • Interest in developing as a consultant and taking on additional responsibilities for delivering and growing work
Preferred Skills and Qualifications:
  • Experience designing and working with relational databases
  • Experience designing and working with graph databases and SPARQL
  • Experience with AI governance practices covering model monitoring, evaluation frameworks, and access entitlements
  • Comfortable working with containerized environments; Docker proficiency expected, Kubernetes familiarity a plus
  • Experience with cloud platforms (AWS, Azure, or GCP) for deploying and operating AI and data solutions
  • Exposure to ontology or taxonomy design, and familiarity with taxonomy/ontology management tools (Progress Semaphore, PoolParty, Synaptica, Mondeca, etc.)
  • Experience designing and planning data science projects to meet business requirements
  • Experience implementing agentic AI workflows using frameworks such as LangChain, LlamaIndex, LangGraph, BAML, or equivalent
Salary Information:

EK considers a broad range of factors in considering employee salary including a candidate’s skills, experience, education, certifications, past successes, and qualifications. A range for a starting pay for this role is $150,000 to $210,000 with most candidates likely to fall in the lower half. This range does not guarantee a specific salary and may be adjusted based on the needs of the company and the candidate’s qualifications.

Data Privacy Notice:

Enterprise Knowledge (EK) is committed to protecting your personal information. When you submit your application, we collect and process your personal data solely for recruitment and hiring purposes. We will not use your information for any other purpose without your explicit consent.

We may share your information with third parties only as necessary to evaluate your application or comply with legal requirements. If we need to use your data for a purpose beyond the original intent or disclose it to additional third parties, we will provide you with prior notice.

You have the right to access the personal information we hold about you and to request corrections, amendments, or deletion of any inaccurate data or data processed in violation of applicable privacy principles. Requests for such changes will be reviewed and accommodated unless the burden or expense of providing access would be disproportionate to the risks to your privacy, or where the rights of other individuals may be affected.

By submitting your application, you acknowledge that you have read and understood this notice. If you have any questions about how we handle your personal data or need to update your information, please contact us at careers@enterprise-knowledge.com