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Remote Labeler Jobs in Virginia (NOW HIRING)

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... labeling and model testing purposes. This may involve converting between file format types or ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Ad Hoc

Senior Designer (Library of Congress)

Mclean, VA · Remote

$103K - $110K/yr

Senior Designer Job number: 789 This is a remote position. Ad Hoc is a technology company that ... labels before sprint planning, ensuring accessibility requirements are defined before code is ...

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Remote Labeler information

How much does a data labeler make?

Data labelers typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many remote labelers work as independent contractors, which can affect pay rates and benefits.

How can I make 2000 a week working from home?

A remote labeler can potentially earn $2,000 per week by working full-time hours, often 40 hours or more, and gaining experience or specialized skills in data annotation or image labeling. Increasing income may involve taking on multiple projects, improving efficiency, or working for companies that pay higher rates for quality work. Consistent, high-volume work and reliable performance are key to reaching this income level.

How to make $1000 a week remote?

A remote labeler can potentially earn $1000 a week by working full-time hours, often 40 hours or more, and increasing productivity or taking on multiple projects. Building skills in image annotation tools and maintaining consistent quality can help secure higher-paying tasks or multiple clients, but earnings depend on workload, pay rates, and experience.

What is the difference between Remote Labeler vs Data Annotator?

AspectRemote LabelerData Annotator
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, home-basedRemote, home-based or office
Industry UsageCommon in AI training, machine learningUsed in AI, autonomous vehicle data, medical imaging

Both Remote Labelers and Data Annotators perform tasks involving data organization and labeling for AI systems. While their roles are similar, Remote Labelers often focus on image or video labeling for machine learning, whereas Data Annotators may handle a broader range of data types. Both roles typically require basic technical skills and are performed remotely, making them accessible for remote work opportunities in the AI industry.

Is data labeling work from home?

Data labeling jobs, including remote labeler positions, are often performed from home. These roles typically require a computer, internet connection, and attention to detail, and they can offer flexible schedules. However, specific requirements may vary by employer.
What are the most commonly searched types of Labeler jobs in Virginia? The most popular types of Labeler jobs in Virginia are:
What are popular job titles related to Remote Labeler jobs in Virginia? For Remote Labeler jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Labeler jobs in Virginia look for? The top searched job categories for Remote Labeler jobs in Virginia are:
What cities in Virginia are hiring for Remote Labeler jobs? Cities in Virginia with the most Remote Labeler job openings:
Remote Labeler jobs near you
Infographic showing various Remote Labeler job openings in Virginia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Remote Video Annotators

Barker Staffing Solutions LLC

Hampton, VA • Remote

Full-time

Re-posted 3 hours ago

Job description

Location: Remote (U.S.-based preferred or strong familiarity with U.S. curriculum)
Type: 1099 Contract
Hours: Minimum 40 hours/week
Compensation: Competitive hourly rate based on experience and role

About the Role:

The client is a NYC-based non-profit with a social mission to lift economically and socially marginalized youth out of poverty in Asia and Africa. Using impact-based outsourcing, they create sustainable, living-wage jobs by providing data-labeling and annotation services for training datasets used in Computer Vision and GenAI applications.

The client is seeking dynamic, passionate, detail-oriented, and self-motivated individuals who enjoy providing annotation services. This position is ideal for self-starters with customer-facing etiquette, good communication skills, and a strong work ethic.

Position: Video Annotator (Traffic & Behavioral)
Responsibilities for the Retrieval Benchmark Annotation Project:
Perform multi-dimensional scene annotation for autonomous driving data. As an annotator, go beyond object labeling and perform structured classification, behavioral analysis, and apply causal reasoning.
Apply Advanced Annotation Capability by using the following skills:
Use your experience with annotation tools (segmentation, object tracking, timelines)
Apply complex taxonomies and attribute structures
Deploy accurate frame-level updates and lifecycle management of annotations
Scene Interpretation & Spatial Awareness by using the following skills:
Use your strong understanding of road environments and layouts
Identify road types, traffic infrastructure, and conditions
Demonstrate accurate perception of relative positioning and spatial relationships

Apply Behavioral & Causal Reasoning in the following tasks:
Interpret why events occur, not just what is visible
Identify relationships between ego vehicle, environment, and agents
Create logical links between entities

Apply Temporal Analysis with the following tasks:
Track changes over time within a scene
Update attributes dynamically as scenes evolve

Use Traffic Knowledge & Driving Judgment by using the following skills:
Strong understanding of traffic rules and right-of-way principles
Use discerning ability to assess legal vs illegal and safe vs aggressive behavior

Apply Multi-Agent Interaction Understanding when performing the following tasks:
Analyzing interactions between vehicles, pedestrians, objects, and the environment
Understanding and determining the influence and dependency between actors
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by federal, state, or local laws.

Why Join Us?

  • 100% remote, flexible work scheduled based on the client's needs

  • Be part of a collaborative, mission-driven project

  • Work with a team that values your educational expertise