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Remote Data Labelling Jobs in Washington, DC (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 ...

10a Labs

Junior Cyber Investigator

Washington, DC · Remote

$80K - $105K/yr

Review and label AI-generated exchanges to assess whether content provides meaningful offensive ... data extraction, ransomware, local and remote exploits, or offensive security operations

10a Labs

Senior Cyber Investigator

Washington, DC · Remote

$114K - $140K/yr

Review and label AI-generated exchanges, and support label quality across the team to help tune ... data extraction, ransomware, local and remote exploits, or offensive security operations * Strong ...

10a Labs

Senior Cyber Investigator

Washington, DC · Remote

$115K - $140K/yr

Responsibilities Detect and investigate malicious uses and cyber abuse, including cases involving scaled data extraction, ransomware, and local and remote exploits Review and label AI‐generated ...

10a Labs

Junior Cyber Investigator

Washington, DC · Remote

$80K - $105K/yr

Review and label AI‐generated exchanges to assess whether content provides meaningful offensive ... data extraction, ransomware, local and remote exploits, or offensive security operations ...

10a Labs

Principal Cyber Investigator

Washington, DC · On-site +1

$150K - $180K/yr

Oversee day-to-day operations of the embedded team, ensuring exchange labeling and review are ... data extraction, ransomware, local and remote exploits, or offensive security operations

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

10a Labs

Principal Cyber Investigator

Washington, DC · On-site +1

$150K - $180K/yr

Oversee day-to-day operations of the embedded team, ensuring exchange labeling and review are ... data extraction, ransomware, local and remote exploits, or offensive security operations

10a Labs

Principal Cyber Investigator

Washington, DC · On-site +1

$150K - $180K/yr

Oversee day-to-day operations of the embedded team, ensuring exchange labeling and review are ... data extraction, ransomware, local and remote exploits, or offensive security operations

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All JobsData Labelling JobsRemote Data Labelling JobsRemote Data Labelling Jobs in Washington, DC

Remote Data Labelling information

See Washington, DC salary details

$52.1K

$186.9K

$275.8K

How much do remote data labelling jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote data labelling in Washington, DC is $186,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,200.00 and $192,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Labelling professional, strong attention to detail, accuracy, and basic computer literacy are essential, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, labeling tools, and sometimes experience with spreadsheet or project management software are common requirements. Excellent time management, self-motivation, and the ability to follow detailed instructions help individuals excel in this largely independent role. These qualifications are vital to ensure precise, high-quality data sets that drive effective machine learning and AI model development.

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

Remote data labelling professionals often encounter challenges such as repetitive tasks, maintaining focus over extended periods, and interpreting ambiguous data accurately. To manage these challenges, it helps to take regular breaks, use productivity techniques, and seek clarification from supervisors or team leads when instructions are unclear. Many companies provide detailed guidelines and offer online support channels to help remote labelers stay engaged and ensure consistency. Being proactive in communication and attentive to updates in instructions will contribute to both job satisfaction and data quality.

What is a Remote Data Labelling job?

A Remote Data Labelling job involves annotating, categorizing, or tagging data (such as images, text, or audio) to help train machine learning models. Workers typically use specialized tools to label data based on specific guidelines provided by companies. This role is performed entirely online, making it flexible and accessible from anywhere. It is commonly used in AI development for industries like autonomous vehicles, healthcare, and e-commerce.

What are the most commonly searched types of Data Labelling jobs in Washington, DC? The most popular types of Data Labelling jobs in Washington, DC are:
What are popular job titles related to Remote Data Labelling jobs in Washington, DC? For Remote Data Labelling jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Data Labelling jobs in Washington, DC look for? The top searched job categories for Remote Data Labelling jobs in Washington, DC are:
Remote Data Labelling jobs near you
Infographic showing various Remote Data Labelling job openings in Washington, DC as of July 2026, with employment types broken down into 61% Full Time, 27% Part Time, 6% Temporary, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $186,899 per year, or $89.9 per hour.
Data Scientist

Data Scientist

Redhorse Corporation

Arlington, VA • On-site, Remote

Full-time

Posted 29 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.
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