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Online Data Annotation Jobs in Washington (NOW HIRING)

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Online Data Annotation information

See Washington salary details

$6

$26

$57

How much do online data annotation jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for online data annotation in Washington is $26.83, according to ZipRecruiter salary data. Most workers in this role earn between $17.03 and $26.84 per hour, depending on experience, location, and employer.

What is an online data annotation?

An Online Data Annotation job involves labeling, tagging, or categorizing data such as images, text, audio, or video to help improve machine learning models. Annotators follow guidelines to ensure accuracy and consistency, making AI systems more effective. This work is typically done remotely and requires attention to detail. Many companies use data annotation to train AI applications like chatbots, image recognition software, and search engines.

What does an online data annotation do?

As an Online Data Annotation specialist, your day will usually involve reviewing various types of data—such as images, text, or audio—and carefully applying labels or tags according to strict guidelines provided by clients or team leads. Most positions are remote and individual-focused, allowing flexibility in managing your workflow, though you may regularly communicate with supervisors for feedback or updates. Deadlines and productivity targets are common, so staying organized and focused on accuracy is crucial. Over time, you may have opportunities to work on more complex annotation projects or take on quality assurance responsibilities, supporting your professional growth in the data and AI sectors.

What are the key skills and qualifications needed to thrive in online data annotation, and why are they important?

To thrive as an Online Data Annotation professional, you need strong attention to detail, excellent reading comprehension, and basic computer proficiency, often demonstrated through a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and occasionally frameworks like Labelbox or Prodigy is valuable, though on-the-job training is commonly provided. Outstanding time management, adaptability, and the ability to follow precise guidelines will help you excel in this role. These skills and qualities ensure accurate, high-quality data labeling that powers AI and machine learning applications.

What are the most commonly searched types of Data Annotation jobs in Washington?

The most popular types of Data Annotation jobs in Washington are:

What are popular job titles related to Online Data Annotation jobs in Washington?

For Online Data Annotation jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Online Data Annotation jobs in Washington look for?

The top searched job categories for Online Data Annotation jobs in Washington are:

What cities in Washington are hiring for Online Data Annotation jobs?

Cities in Washington with the most Online Data Annotation job openings:

Online Data Annotation jobs near you
Infographic showing various Online Data Annotation job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $55,804 per year, or $26.8 per hour.

Student Research Assistant II _Non-FWS

GW Student Employment Center for Career Services

Washington, DC • On-site, Remote

$19/hr

Full-time

Re-posted 6 days ago

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 _Non-FWS
Level of Support
Student Support II
Position Type
Non-FWS
Number of Openings
2
Work Hours
During Standard Business Hours (M-F 8am-5pm)
Wage Per Hour
19
Division/School
Columbian College of Arts and Sciences
Department Name
152501 ADMIN-SCHOOL OF MEDIA & PUBLIC AFFA
Department Bio
A research team from Institute of Data, Democracy and Politics, led by Dr.
Catie Bailard, is seeking 2 research assistants to work on a project conducting an online
behavioral study. The project is an interdisciplinary by nature. Work on this project will
commence as soon as the hiring process is complete and is expected to continue through the
fall semester. Research assistants will work entirely remotely, with regular coordination meetings
held via video conference.
Position Specific Summary
The research assistant will perform research tasks under the guidance of the faculty
lead and postdoc research coordinator. Tasks may include: helping to devise codebooks (annotation schemes), annotating social media content that will be used for supervised machine learning, summarizing relevant literature, compiling lists of related news sources and online content, and compiling keyword search lists.
Special projects or other duties may be assigned related to specific project needs.
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, Technology and Data
Required Qualifications
Some applicable educational, technical, or professional experience required, some training will be provided.
Preferred Qualifications
Seeking a detail-oriented researcher with data analysis and annotation experience, strong communication skills, and an interest in scientific research. Proficiency in office software required; experience in politics, political science, or content analysis coding is a plus.
Posting Detail Information
Job Open Date
08/14/2026
Job Close Date
09/04/2026
Campus Location
Foggy Bottom
Work Type Designation
Remote/Virtual
Hiring Manager Name
Alyse Mier
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:
In this position, the student will not perform any functions and/or have access to any financially, safety, or security sensitive items listed above. - Background check not required.

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