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Remote Data Coding Jobs in Accokeek, MD (NOW HIRING)

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Incorporate research and development outputs into the operational code base * Communicate analytic ...

Scientific Data Analyst

Vienna, VA · On-site +1

$85K - $115K/yr

This role will be 100% remote for the foreseeable future. In this role, you will manage and analyze ... Provide routine analysis and interpretation of data, as well as data entry, coding, and ...

Director of Data Engineering

Arlington, VA · Remote

$131K - $158K/yr

Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health ... Apply AI-augmented engineering in daily work: codify patterns for LLM coding assistants (e.g ...

Staff Data Engineer

Arlington, VA · Remote

$185K - $220K/yr

Write Quality Code: Write clean, well-documented, scalable, extensible, and testable code to ensure ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... Contribute to team capability growth through documentation, code review standards, and mentorship ...

Showing results 21-40

Remote Data Coding information

See Accokeek, MD salary details

$16

$55

$79

How much do remote data coding jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote data coding in Accokeek, MD is $55.37, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $65.58 per hour, depending on experience, location, and employer.

Can you work as a remote data coder remotely?

Yes, remote data coding jobs are common and typically involve working from home using data management software and tools. These roles often require strong attention to detail, basic computer skills, and sometimes certification in data management or coding. Employers usually specify if the position is fully remote in the job description.

How much do data coders make?

Data coders typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of coding tasks. Many work remotely and may require familiarity with data entry tools and coding standards. Salaries can vary based on whether the role is freelance or full-time employment.

What is the difference between Remote Data Coding vs Remote Data Entry?

AspectRemote Data CodingRemote Data Entry
Required SkillsMedical coding certifications, attention to detail, knowledge of coding systemsBasic computer skills, accuracy, data input proficiency
Work EnvironmentHealthcare settings, remote medical officesVarious industries, remote administrative roles
Industry UsageHealthcare, insurance, medical billingRetail, finance, general administrative tasks

Remote Data Coding involves assigning standardized medical codes to patient records, requiring specific certifications and healthcare knowledge. Remote Data Entry focuses on inputting data into systems, often with less specialized training. Both roles are remote, but they serve different industries and require distinct skill sets.

Infographic showing various Remote Data Coding job openings in Accokeek, MD as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution, with an average salary of $115,170 per year, or $55.4 per hour.

Data Scientist

NT Concepts

Herndon, VA • On-site, Remote

Other

Re-posted 16 days ago


Job description

Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you.
Mission Focus: As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and prediction capabilities focused on object detection robustness. Working within a cross-functional team and reporting to a technical lead, you will operate across the machine learning development lifecycle, from data curation and synthetic data generation to model training, evaluation, and delivery.
Our delivery teams follow SAFe Agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first," and leverage modern tech stacks. This position requires a mid-to-senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges.

Clearance: Active TS Clearance with ability to obtain TS/SCI. US Citizenship is required.

Location/Flexibility: Herndon, VA with remote flexibility. Must be local to the DC Metro area. 

Responsibilities

  • Curate, transform, and optimize imagery data, including optical, Synthetic Aperture Radar (SAR), and synthetic data, for use by machine learning algorithms
  • Design and maintain data conversion and ETL pipelines to prepare customer data for model training
  • Generate and analyze synthetic data to augment computer vision models where real-world data is scarce
  • Train, evaluate, and optimize deep neural network models on overhead imagery, including hyperparameter tuning and performance analysis
  • Perform exploratory data analysis, feature engineering, and preprocessing to improve model performance
  • Develop and visualize explainable AI metrics and model performance indicators
  • Incorporate research and development outputs into the operational code base
  • Communicate analytic findings to both technical and non-technical stakeholders
  • Contribute to solutioning sessions and technical sections of project proposals


Required Qualifications

  • 5+ years of experience in data science, machine learning, or a related field
  • Hands-on experience with data curation techniques for overhead imagery (optical or SAR) and computer vision model development
  • Experience building and maintaining ETL or data processing pipelines
  • Proficiency in Python and familiarity with machine learning and deep learning libraries such as PyTorch
  • Experience with Git-based version control systems
  • Proficiency working in the Linux operating system
  • Strong analytical and problem-solving skills
  • Ability to work in a fast-paced, collaborative, Agile environment
  • Eligibility to work in classified environments and hold required security clearances


Preferred Qualifications

  • Experience with synthetic data generation and analysis for computer vision applications
  • Experience with cloud-based or distributed computing platforms
  • Experience deploying models into production and supporting ongoing operations and maintenance
  • Experience communicating technical results to non-technical audiences or contributing to customer-facing deliverables
  • Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security missions
  • Experience contributing to technical proposals

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