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Remote Data Encoder Jobs in Virginia (NOW HIRING)

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Demonstrated academic or professional experience using encoder-decoder and generative language ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Demonstrated academic or professional experience using encoder-decoder and generative language ...

All JobsData Encoder JobsRemote Data Encoder JobsRemote Data Encoder Jobs in Virginia

Remote Data Encoder information

See Virginia salary details

$9

$38

$79

How much do remote data encoder jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for remote data encoder in Virginia is $38.08, according to ZipRecruiter salary data. Most workers in this role earn between $15.20 and $58.45 per hour, depending on experience, location, and employer.

What is a Remote Data Encoder job?

A Remote Data Encoder is responsible for inputting, updating, and managing data in digital databases or systems from a remote location. They ensure accuracy and efficiency while handling large volumes of information, such as invoices, customer details, or other records. This role typically requires strong typing skills, attention to detail, and familiarity with data management software. Many remote data encoders work as freelancers or for companies that need organized and accurate digital records.

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

To thrive as a Remote Data Encoder, you need excellent typing speed and accuracy, attention to detail, and a basic understanding of data management processes, usually supported by a high school diploma or equivalent qualification. Familiarity with spreadsheet applications like Microsoft Excel, data entry software, and occasionally database management systems is often required. Strong time management, self-motivation, and the ability to work independently are valuable soft skills for this remote position. These skills and qualities ensure the efficient, error-free processing of data that organizations rely on for accurate record-keeping and decision-making.

What are some common challenges faced by Remote Data Encoders, and how can I overcome them?

As a Remote Data Encoder, you'll often face challenges such as managing distractions while working from home, maintaining data accuracy under tight deadlines, and handling large volumes of repetitive information. To succeed, it's important to set up a dedicated, quiet workspace, establish a consistent work schedule, and take regular breaks to maintain focus and prevent errors. Keeping open lines of communication with your team or supervisor can help ensure clarity on tasks and expectations. Many successful remote data encoders also use productivity tools or task trackers to stay organized and meet their daily goals.

What are the most commonly searched types of Data Encoder jobs in Virginia? The most popular types of Data Encoder jobs in Virginia are:
What are popular job titles related to Remote Data Encoder jobs in Virginia? For Remote Data Encoder jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Data Encoder jobs in Virginia look for? The top searched job categories for Remote Data Encoder jobs in Virginia are:
What cities in Virginia are hiring for Remote Data Encoder jobs? Cities in Virginia with the most Remote Data Encoder job openings:
Remote Data Encoder jobs near you
Infographic showing various Remote Data Encoder job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $79,211 per year, or $38.1 per hour.
Data Scientist

Data Scientist

SAIC

Mclean, VA • On-site, Remote

$200K - $240K/yr

Full-time

Posted 9 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

70th of 213 rated it services

Job description

Job ID: 2614424

Location: McLean, VA, US

Date Posted: 2026-07-09

Category: Information Technology

Subcategory: Data Scientist

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking a Data Scientist to join our team to provide Subject Matter expertise and support specializing in natural language(NLP) processing and associated data preparation. The ideal candidate will have experienced SQL and Python skills to transform both structured and unstructured data into clear and concise analytic insights. This position in in Mclean, VA and requires a TS/SCI with polygraph.

Key Responsibilities:

  • Work closely with data scientist and technical team to implement requirements.
  • Conduct sophisticated analysis using deployed tools and natural language processing (NLP).
  • Analyze large amounts of raw data, including text data, to provide business insights.
  • Preprocess or clean structured and unstructured 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. 
  • Author analytic publications and produce ad-hoc reports to include data visualization.
  • Stay current with enterprise metadata collection tools.
  • Provide technical education to staff on an ad-hoc basis. 
  • Provide subject matter expertise in natural language processing (NLP).

Qualifications

  • Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.
  • 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.
  • Developed practical approaches for measuring performance.
  • Assisted in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
  • Conducted advanced statistical analysis on personnel, intelligence, and performance metrics.
  • Assisted in selection or development of appropriate methodology to conduct research.
  • Analyzed information and provide research findings in a manner that is easily grasped by the customer and consumers.
  • TS/SCI with polygraph.

Desired Skills:

  • Experience writing Python scripts that pull data from web-based APIs and relational databases.
  • 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.

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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