ZipRecruiter

Log In

2

Remote Data Labelling Jobs in Reston, VA (NOW HIRING)

GRVTY

Imagery Scientist (EO)- Expert

Falls Church, VA · On-site +1

$180K - $210K/yr

Data formats * APIs and ETL processes * Existing operational pipelines * Develop strategies to ... Labeling * Model testing * Advanced exploitation workflows * Investigate gaps in emerging EO sensor ...

SAIC

Platform Design Manager

Washington, DC · Remote

Public Trust Potential for Remote Work: ORA_ON_SITE Description Job Summary : We are seeking a Lead ... Dataverse and SharePoint lists as data sources * Automate business processes and workflows using:

New

Emergent Biosolutions

Sr. Counsel (remote)

Gaithersburg, MD · On-site +1

$152K - $206K/yr

... data privacy initiatives, social media, use of endorsers and/or celebrities, drug labeling, strategic plans and tactics, competitive issues, and interactions with nonprofits. * Support Government ...

Emergent Biosolutions

Sr. Counsel (remote)

Gaithersburg, MD · On-site +1

$150K - $204K/yr

... data privacy initiatives, social media, use of endorsers and/or celebrities, drug labeling, strategic plans and tactics, competitive issues, and interactions with nonprofits. * Support Government ...

Custom Software Systems, Inc.

Be Seen First

DevSecOps Engineer

Washington, DC · Remote

$145K - $160K/yr

... Remote) With occasional travel to Washington, DC. Responsibilities · Engineer secure CI/CD ... data-normalization and labeling standards across tools that don't natively agree. · Harden and ...

CPMC LLC

Records Manager

Tysons Corner, VA · Remote

Capital Area Work Location: 100% Remote Telework (U.S.-based) Employment Type: Full-Time / W-2 ... Support audits, FOIArelated searches, and agency data calls by locating and producing records ...

previous page

Showing results 41-60

All JobsData Labelling JobsRemote Data Labelling JobsRemote Data Labelling Jobs in Reston, VA

Remote Data Labelling information

See Reston, VA salary details

$47.9K

$171.7K

$253.3K

How much do remote data labelling jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote data labelling in Reston, VA is $171,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,900.00 and $176,900.00 per year, depending on experience, location, and employer.

What is a remote data labelling?

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 key skills and qualifications needed to thrive in remote data labelling?

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.

How can I get started in remote data labeling?

To start as a remote data labeler, gain basic knowledge of data annotation tools and understand labeling guidelines for different data types such as images, audio, or text. Many companies require a reliable internet connection, attention to detail, and sometimes a test task to demonstrate accuracy. You can find entry-level positions on online job platforms and consider completing relevant online courses to improve your skills.

How much are remote data labelers paid?

Remote data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or bonuses for accuracy and efficiency.

What job categories do people searching Remote Data Labelling jobs in Reston, VA look for?

The top searched job categories for Remote Data Labelling jobs in Reston, VA are:

What cities near Reston, VA are hiring for Remote Data Labelling jobs?

Cities near Reston, VA with the most Remote Data Labelling job openings:

Remote Data Labelling jobs near you
Infographic showing various Remote Data Labelling job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $171,677 per year, or $82.5 per hour.

Student Research Assistant II _Off-Campus FWS

Washington, DC • On-site, Remote

GW Student Employment Center for Career Services
See more jobs at GW Student Employment Center for Career Servicesexternal

$19/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Key responsibilities

  • Support data collection activities, including updating surveys, distributing surveys, and analyzing survey results.

  • Analyze data from assessments and other sources, and create visual representations such as charts and graphs for reports and presentations.

  • Assist with data entry, data cleaning, and development of data analysis tools to support program evaluation.

Job description

Position Details
Position Information
Fill out your application carefully and completely, including attaching the correct documents as requested. You will NOT be able to withdraw and reapply if you make a mistake.
Positions may close unexpectedly if they reach a high number of applicants. It is in your best interest to apply promptly to any positions that interest you.
If this position title includes the label On-Campus FWS or Off-Campus FWS, it is for students with a Federal Work Study (FWS) award for the current school year ONLY. Applicants to these positions will be required to verify this by attaching their FWS Program Student Statement as a required document. Do not apply unless you meet this criterion.
Position Title
Student Research Assistant II _Off-Campus FWS
Level of Support
Student Support II
Position Type
Off-Campus FWS
Number of Openings
1
Work Hours
During Standard Business Hours (M-F 8am-5pm)
Wage Per Hour
19
Division/School
Division/School
Department Name
Fair Chance
Department Bio
Position Specific Summary
As the Data Associate (Student Research Assistant - Student Support II) at Fair Chance, you will support our efforts to evaluate the effectiveness and impact of our programs through data collection, data analysis, and writing reports. In completing these activities, you will learn several technology platforms including Salesforce, Smartsheet, FormAssembly, and QuestionPro, as well as deepening your skills in Microsoft Excel.
You will support data collection and analysis by:
• Supporting the completion of our annual alumni survey, including updating the survey tool, distributing the survey, and analyzing the results
• Analyzing results from pre/post assessment of partner organizations and other data sources as they occur
• Creating charts, graphs, and other graphics for use in partner reports, presentations, newsletters, and social media posts
• Revising additional data collection tools, such as applications and surveys
The Data Associate may perform other tasks to support Fair Chance program evaluation team, including:
• Entering historical data on Fair Chance's 100+ alumni organizations into Salesforce
• Verifying accuracy of data for organizations and updating as required
• Supporting the development of data analysis tools and reports, such as longitudinal data tracking for partner organizations
• Researching topics as requested by Fair Chance staff related nonprofit management, youth development practices, and poverty reduction strategies
Standard Position Description
The student will perform administrative and research tasks with some discretion under direction of faculty member or research coordinator. Tasks may include: assisting with experiments, coding, data entry, data cleaning, and data analysis, preparing research and drafts for articles, reports, and/or presentations. Students may also complete literature reviews, draft summaries, and create graphs and figures. Special projects or other duties may be assigned related to specific departmental/faculty needs.
Professional Outcomes
Critical Thinking, Communication, Teamwork, Professionalism, Inclusion, Technology and Data, Career Development
Required Qualifications
Some applicable educational, technical, or professional experience required, some training will be provided.
Preferred Qualifications
• Strong written & oral communication skills
• Meticulous accuracy in data & info recording
• Proficient in MS Office (Word, Excel, PPT) or Google Suite
• Preferred: Database experience
• Skilled in statistical concepts (mean, median, mode); advanced stats welcomed
Posting Detail Information
Job Open Date
08/14/2026
Job Close Date
09/12/2026
Campus Location
Off-Campus FWS Partner - Fully Virtual
Work Type Designation
Remote/Virtual
Hiring Manager Name
Cynthia Freeman
Special Instructions Summary
EEO Statement
The university is an Equal Employment Opportunity/Affirmative Action (EEO/AA) employer committed to maintaining a nondiscriminatory, harassment-free, diverse work and education environment. The university does not unlawfully discriminate on the basis of protected characteristics or on any other basis prohibited by applicable law in any of its programs, activities, or employment practices.
For more information on this policy and its purpose, please read the Equal Employment Opportunity Policy Statement.
Background Check
The student employee will:
Off-Campus FWS position or a position with an external community partner - May or may not require a background check or work clearances external to GW.

Apply