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Remote Data Labeling Jobs in Virginia (NOW HIRING)

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... Data Scientist with 4 years of experience including experience in applied NLP, data labeling ...

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience ... Familiarity with ML/Ops practices - training pipelines, data labeling, model evaluation, and ...

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience ... Familiarity with ML/Ops practices -- training pipelines, data labeling, model evaluation, and ...

Alpha Omega Integration

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 ... Identify errors/omissions of variable formats or labels. * Document problems and proposed ...

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... data standards or to be transformed into a usable state for labeling and model testing purposes ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Alpha Omega Integration

Public Health Analyst

Vienna, VA · On-site +1

$57K - $60K/yr

This is a remote role but proximity to the Atlanta area is desired. Some Key Responsibilities ... labels, default values, and question strings. * Generate data retrievals and summary outputs.

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · On-site +1

$160K - $190K/yr

... data standards or to be transformed into a usable state for labeling and model testing purposes ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

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Remote Data Labeling information

What are common challenges faced by remote data labelers, and how can they be managed?

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.

What skills and qualifications are needed for remote data labeling?

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What is remote data labeling?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What are the most commonly searched types of Data Labeling jobs in Virginia?

The most popular types of Data Labeling jobs in Virginia are:

What are popular job titles related to Remote Data Labeling jobs in Virginia?

For Remote Data Labeling jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Data Labeling jobs in Virginia look for?

The top searched job categories for Remote Data Labeling jobs in Virginia are:

What cities in Virginia are hiring for Remote Data Labeling jobs?

Cities in Virginia with the most Remote Data Labeling job openings:

Remote Data Labeling jobs near you
Infographic showing various Remote Data Labeling job openings in Virginia as of July 2026, with employment types broken down into 45% Full Time, 22% Part Time, 7% Temporary, and 26% Contract. Highlights an 100% Remote job distribution.

Data Scientist

Redhorse Corporation

Arlington, VA • On-site, Remote

Full-time

Re-posted 17 days ago

Job description

Data Scientist
About the Organization
Now is a great time to join Redhorse Corporation. Our mission is to change the way government interacts with and uses data and technology. Our purpose is to help government to better serve its citizens. Redhorse Corporation offers a proven approach to mission-focused innovation. Design thinking helps us understand customer problems and develop better ways to solve them. Lean Startup lets us turn those ideas into business models that work, quickly and for the least cost. Our world class data scientists wring the value from data, and Agile helps us deliver solutions quickly and incrementally, building exactly what is needed, as fast as possible. We are hiring creative, motivated and talented people with a passion for doing what’s right, what’s smart, and what works.

Position Description
Redhorse Corporation (Redhorse) is seeking an exceptional leader to serve as a Data Scientist for the Conditions Based Maintenance (CBM+) Program. The Senior Analyst will serve on a four-member Agile Data Science delivery team performing predictive maintenance and predictive logistics model development and forecasting work on the government-provided PANDA platform. The Senior Analyst will mentor junior analysts in the areas of NLP related to automated or semi-automated data extraction and other elements of model development and will be the first line quality control check for data cleaning, WUC analyses, NLP models and resulting forecasts. This position will be based in our National Capital Region offices in the Rosslyn neighborhood of Arlington, VA, with opportunities for remote work to be determined by the program manager and customer.
Essential Functions:
  • Delivery Teams will each be responsible for a subset of assigned aircraft platforms and respective work unit codes (WUCs) within an Aircraft Group. Delivery Teams are primarily responsible for data analysis/data science work supporting the following functions:
    • Sustain existing WUC predictive failure models
    • Support selection and analysis of new WUC predictive failure models
    • Field newly approved WUC predictive failure models
    • Generate monthly enhanced reliability centered maintenance forecasts for assigned WUCs
    • Generate and maintain a long-range supply forecast utilizing Monte Carlo simulation for assigned WUCs
    • Participate in user and stakeholder engagements and technical discussions
    • Gather and provide feedback on best practices and recommended enhancements to the platform
    • Document work performed in technical reports
Minimum Basic Requirements for Skills, Experience, Education and Credentials include:
  • Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
  • Data Scientist with 4 years of experience including experience in applied NLP, data labeling, entity or keyword extraction, and related topics.
  • Understanding of Weibull distribution and use for modeling part failures
  • Proven ability to drive key client communication and expectations
  • Experience engaging clients and developing relationships at the highest levels of the Federal Government
  • Strong communication skills and ability to understand business functionality
  • Ability to foster positive business relationships
  • Proven leadership abilities
  • Excellent communication and interpersonal skills
  • Experience working with office productivity software, such as Microsoft Office suite, including Word, Excel, PowerPoint and file sharing applications.
  • Able to travel as needed to meet with government customers and stakeholders
Preferred Qualifications include:
  • Advanced degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
  • Active Secret Clearance
  • Experience with Predictive Maintenance / Logistics
  • Experience with sensor-based failure predictions and modeling
  • Experience with Monte-Carlo simulation and calculation of confidence levels
Executive Order Requirement:
In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new hires to be fully vaccinated for COVID-19 by December 8, 2021 or prior to the first date of employment, whichever is later. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
EOE/M/F/Vet/Disabled

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