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Remote Data Labeling Analyst Jobs in Washington, DC

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

Fairfax County

Data Analyst III

Fairfax, VA · On-site +1

$88K - $155K/yr

Facilitates data sharing with remote systems and agency transactional systems. Plans, evaluates ... Develops data standards, analytic schemas, and complex data models to ensure complete, correct ...

MELE Associates

Data Evaluator/Analyst

Washington, DC · On-site +1

$100/hr

The Data Evaluator/Analyst transforms raw data into actionable insights, ensuring DOE receives ... Benefits MELE Offers · Hybrid remote/office work environment. · Employer-paid employee Medical ...

Addison Group

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 / Year Benefits: This position is eligible for medical, dental, vision, and 401(k). The Informatics Data Analyst has primary ...

Addison Group

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 / Year Benefits: This position is eligible for medical, dental, vision, and 401(k). The Informatics Data Analyst has primary ...

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

... or remote sensing data workflows. * Experience with simulation, modeling, or mission analysis ... Familiarity with ML/Ops practices - training pipelines, data labeling, model evaluation, and ...

System One

Data Analyst (Oracle HCM Cloud)

Vienna, VA · Remote

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract We are seeking an experienced contractor to support advanced data development ...

System One

Data Analyst (Oracle HCM Cloud)

Vienna, VA · Remote

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract We are seeking an experienced contractor to support advanced data development ...

System One

Data Analyst (Oracle HCM Cloud)

Vienna, VA · Remote

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract We are seeking an experienced contractor to support advanced data development ...

System One

Data Analyst (Oracle HCM Cloud)

Vienna, VA · Remote

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract We are seeking an experienced contractor to support advanced data development ...

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All JobsData Labeling Analyst JobsRemote Data Labeling Analyst JobsRemote Data Labeling Analyst Jobs in Washington, DC

Remote Data Labeling Analyst information

See Washington, DC salary details

$38.5K

$93.6K

$154K

How much do remote data labeling analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote data labeling analyst in Washington, DC is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote data labeling analyst?

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

What are some common challenges faced by remote data labeling analysts, and how can they be addressed?

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What does a remote data labeling analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

What are the most commonly searched types of Data Labeling Analyst jobs in Washington, DC? The most popular types of Data Labeling Analyst jobs in Washington, DC are:
What are popular job titles related to Remote Data Labeling Analyst jobs in Washington, DC? For Remote Data Labeling Analyst jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling Analyst jobs in Washington, DC look for? The top searched job categories for Remote Data Labeling Analyst jobs in Washington, DC are:
Remote Data Labeling Analyst jobs near you
Infographic showing various Remote Data Labeling Analyst job openings in Washington, DC as of July 2026, with employment types broken down into 73% Full Time, 3% Part Time, and 24% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $93,598 per year, or $45 per hour.

Data Scientists and Data Analysts - Future Consideration

Analytic Services Inc

Arlington, VA • On-site, Remote

Other

Re-posted 15 days ago

Job description

Interested in joining ANSER as a Data Scientist or Data Analyst, but don't see a current opening that matches your experience?

We'd still love to connect with you! Please send us your resume, and we'll keep your information on file for future opportunities that align with your background and skills.

As a Data Scientist or Data Analyst at ANSER, you'll work alongside multidisciplinary teams to analyze complex datasets, generate actionable insights, and support mission-critical decisions for government clients, internal stakeholders, and external partners.

Most roles are based in the greater Northern Virginia and Washington, D.C. area and require on-site work five days a week. Some positions may offer hybrid or remote options, but this is determined case by case and is not typical for most roles.

General Day-to-Day Responsibilities:

  • Collect, clean, and analyze large datasets to support program objectives and strategic decision-making.
  • Design and build data models, visualizations, and dashboards to communicate insights clearly to technical and non-technical audiences.
  • Conduct statistical analyses, forecasting, and predictive modeling to identify trends and inform policy or operational recommendations.
  • Collaborate with subject matter experts (SMEs), engineers, and analysts to understand data needs and develop tailored solutions.
  • Present findings through briefings, technical reports, or presentations to leadership and government stakeholders.
  • Ensure the accuracy, integrity, and security of data throughout the analysis process.
  • Stay current with industry trends and tools in data science, analytics, and emerging technologies.
  • Provide data subject matter expertise to senior stakeholders on data governance and policy related to data usage, technology and integration.

General Required Qualifications:

  • Minimum of bachelor's degree in data science, Statistics, Computer Science, Mathematics, or a related field.  Master's degree is required for senior level roles.
  • 3+ years of experience in data analysis or data science, ideally in support of government, defense, or intelligence programs.
  • Proficiency in data analysis and visualization tools such as Python, R, SQL, Tableau, or Power BI.
  • Experience working with large and complex datasets from multiple sources.
  • Strong problem-solving skills and the ability to communicate complex information clearly and concisely.
  • Knowledge of statistical methods, machine learning techniques, or data modeling frameworks.
  • Ability to manage multiple priorities in a fast-paced, mission-focused environment.
  • Active security clearance or the ability to obtain one may be required depending on the position.
  • Prior experience and knowledge of defense agencies and their technology policies.

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