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Remote Labeling Jobs in Virginia (NOW HIRING)

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

Public Health Analyst

Vienna, VA · Remote

$57K - $70K/yr

Remote Alpha Omega is looking for a Public Health Analyst with very strong data management and ... Identify errors/omissions of variable formats or labels. * Document problems and proposed ...

Built for a remote life Our culture, communications, and tools are built for remote work, enabling ... reader labels before sprint planning * Conduct stakeholder interviews, workflow observations ...

Transform data labels across multiple imagery types (e.g., phase history data to complex image and ... Remote Sensing Principles * Advanced imagery processing and exploitation methods * Sensor and ...

Certain roles -- such as field-based sales or other remote-by-design positions -- may have ... Green-Label). * Keep documentation, code samples, and version notes in lockstep with product ...

Labeling * Model testing * Advanced exploitation workflows * Investigate gaps in emerging EO sensor ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

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Remote Labeling information

What are the key skills and qualifications needed to thrive in the Remote Labeling position, and why are they important?

To excel in a Remote Labeling role, you should have strong attention to detail, basic computer literacy, and the ability to follow detailed instructions accurately. Familiarity with labeling platforms, data annotation tools, and sometimes knowledge of specific data types (e.g., images, audio, or text) is highly beneficial. Strong time management, communication, and self-motivation are important soft skills for maintaining productivity when working independently. These skills ensure data integrity, meet quality standards, and support effective remote collaboration in a deadline-driven environment.

What is a Remote Labeling job?

A Remote Labeling job involves annotating or tagging data, such as images, text, audio, or video, to help train AI models. Labelers follow specific guidelines to categorize data accurately, ensuring machine learning algorithms can recognize patterns. These jobs are typically performed from home using specialized software. Common industries include artificial intelligence, autonomous vehicles, healthcare, and e-commerce. No advanced technical skills are usually required, but attention to detail and consistency are essential.

What does a typical workday look like for someone in a Remote Labeling position?

A typical day in a Remote Labeling role involves reviewing and accurately tagging or annotating various data types, such as images, videos, or text, according to specific guidelines and project requirements. You’ll often interact with cloud-based labeling platforms, complete tasks or batches assigned by a project manager, and submit your work for quality review. Communication with supervisors or team members generally happens via email or team messaging platforms. The work is usually self-paced but deadline-driven, giving you flexibility as long as project goals are met. Successful Remote Labeling professionals stay organized and proactive to manage task volumes and maintain high standards of quality.

What are the most commonly searched types of Labeling jobs in Virginia? The most popular types of Labeling jobs in Virginia are:
What cities in Virginia are hiring for Remote Labeling jobs? Cities in Virginia with the most Remote Labeling job openings:
Infographic showing various Remote Labeling job openings in Virginia as of June 2026, with employment types broken down into 91% Full Time, 2% Part Time, and 7% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution.

Remote Video Annotators

Barker Staffing Solutions LLC

Hampton, VA • Remote

Full-time

Posted 14 days 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