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Remote Video Annotation Jobs in Columbia, MD (NOW HIRING)

Remote Video Annotation information

See Columbia, MD salary details

$37.7K

$74.9K

$128K

How much do remote video annotation jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote video annotation in Columbia, MD is $74,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,600.00 and $86,800.00 per year, depending on experience, location, and employer.

What is remote video annotation?

Remote video annotation is the process of labeling or tagging objects, actions, or events in video footage while working from a location outside of a traditional office, typically from home. Annotators use specialized software tools to draw boxes, create masks, or assign labels to specific frames or sequences in videos. This annotated data is essential for training and improving computer vision models used in applications like self-driving cars, security systems, and entertainment technology. Remote video annotation jobs offer flexibility, but often require attention to detail, strong computer skills, and the ability to follow detailed guidelines.

What are the typical daily tasks and challenges faced by a remote video annotation specialist?

As a Remote Video Annotation specialist, your daily tasks typically include reviewing video footage, accurately labeling objects or actions according to specific guidelines, and ensuring data consistency for machine learning projects. One common challenge is maintaining high attention to detail over long periods, as precise annotations are crucial for training effective AI models. Additionally, you'll often collaborate with project managers or quality assurance teams to clarify requirements, discuss edge cases, and receive feedback. Flexibility and good time management are important, as workloads can vary based on project deadlines and client needs.

What are the key skills and qualifications needed to thrive as a remote video annotation specialist?

To excel as a Remote Video Annotation Specialist, you need strong attention to detail, visual accuracy, and basic computer literacy, often supported by prior experience in data labeling or related fields. Familiarity with annotation platforms (such as CVAT or Labelbox) and understanding of video formats and metadata are typically required. Effective time management, reliability, and clear communication help specialists meet deadlines and collaborate remotely. These skills ensure precise data labeling, which is crucial for training high-performing AI and machine learning models.

What is the difference between Remote Video Annotation vs Remote Data Labeling?

AspectRemote Video AnnotationRemote Data Labeling
Primary FocusAnnotating objects, actions, and events in videosLabeling data across various formats, including images, text, and videos
Work EnvironmentRemote, often collaborative with video review toolsRemote, using labeling platforms for different data types
Required SkillsAttention to detail, understanding of video contentAccuracy, familiarity with labeling tools

Remote Video Annotation specifically involves marking objects and actions within videos, while Remote Data Labeling covers a broader range of data types, including images and text. Both roles require attention to detail and remote work skills, but Video Annotation focuses on video content analysis, making it more specialized within the data labeling industry.

What are popular job titles related to Remote Video Annotation jobs in Columbia, MD?

For Remote Video Annotation jobs in Columbia, MD, the most frequently searched job titles are:

What job categories do people searching Remote Video Annotation jobs in Columbia, MD look for?

The top searched job categories for Remote Video Annotation jobs in Columbia, MD are:

What cities near Columbia, MD are hiring for Remote Video Annotation jobs?

Cities near Columbia, MD with the most Remote Video Annotation job openings:

Infographic showing various Remote Video Annotation job openings in Columbia, MD as of August 2026, with employment types broken down into 46% Full Time, 17% Part Time, 14% Temporary, and 23% Contract. Highlights an 100% Remote job distribution, with an average salary of $74,924 per year, or $36 per hour.

Student Research Assistant II _Non-FWS

Washington, DC • On-site, Remote

$19/hr

Full-time

Re-posted 15 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.