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Data Encoder Home Based Jobs in Virginia (NOW HIRING)

Bridge Core (BCore)

Data Scientist

Mclean, VA

Demonstrated academic or professional experience using encoder-decoder and generative language ... Demonstrated experience writing Python scripts that pull data from web-based APIs and relational ...

Ardent Principles, Inc.

Data Scientist

Mclean, VA · On-site

Academic or professional experience using encoder-decoder and generative language models to perform ... Writing Python scripts that pull data from web-based APIs and relational databases. * Cloud ...

Ardent Principles, Inc

Data Scientist

Mclean, VA

Academic or professional experience using encoder-decoder and generative language models to perform ... Writing Python scripts that pull data from web-based APIs and relational databases. * Cloud ...

Encode, Inc

Client Solutions Architect - AMC

Montgomery, VA · On-site

$58 - $76.50/hr

Company Description Here at Encode we strive to ensure that both professional AND personal ... Based on customer's technical requirements, develop an architecture for the customer's IT system. * ...

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All JobsData Encoder Home Based JobsData Encoder Home Based Jobs in Virginia

Data Encoder Home Based information

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$32

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

As of Jun 22, 2026, the average hourly pay for data encoder home based in Virginia is $32.19, according to ZipRecruiter salary data. Most workers in this role earn between $13.79 and $46.05 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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Data Encoder Home Based jobs near you
Data Scientist

Data Scientist

Bridge Core (BCore)

Mclean, VA

Full-time

Posted 5 days ago

Job description

OverviewData ScientistMcLean, VATS/SCI with Poly 

At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. 

Do you want to join a team that is building tailored technical solutions to modernize our government's mission and our client's business?  Do you have a desire to change how people work?  Are you interested in helping to protect our nation's cyber interests? Join our growing team supporting customer missions as a  Data Scientist in McLean, Virginia.

Responsibilities
  • Conduct sophisticated analysis using deployed tools and natural language processing. 
  • Analyze large amounts of raw data, including text data, to provide business insights. 
  • Clean structured and unstructured Sponsor data, including text data. 
  • Design and implement advanced ETL code and table configurations for complex data sets.  
  • Use Structured Query Language (SQL) in Sponsor's Oracle database to develop and organize relevant information with supporting analytics. 
  • Independently, or with a team, author analytic publications and produce ad-hoc reports to include data visualizations using the Sponsor's templates. 
  • Implement the Sponsor's existing coordination process.  
  • Provide technical education to staff on an ad-hoc basis. 
  • Provide subject matter expertise in NLP to support Sponsor's initiatives  
Qualifications

Required Qualifications:   

  • Demonstrated professional or academic experience performing NLP tasks, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance. 
  • Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents. 
  • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras  
  • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub. 
  • Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models. 
  • Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.   
  • Demonstrated academic or professional experience communicating methodological choices and model results.   
  • Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries. 
  • Demonstrated professional or academic experience with version control systems such as Github and Jenkins. 
  • Demonstrated experience leveraging GPUs for accelerated computing  

Desired Qualifications

  • Demonstrated experience writing Python scripts that pull data from web-based APIs and relational databases. 
  • Demonstrated experience with cloud computing development and architecture  
  • Demonstrated experience with front-end web development frameworks such as Flask. 
  • Demonstrated experience developing applications for semantic search. 
  • Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases. 
  • Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards. 
What you can expect from us

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

Employment Type: FULL_TIME

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