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Remote Data Labeling Jobs in Virginia (NOW HIRING)

Data Scientist

Arlington, VA ยท On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... Data Scientist with 4 years of experience including experience in applied NLP, data labeling ...

Software Engineer, Senior

Herndon, VA ยท On-site +1

$126K - $166K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience ... Familiarity with ML/Ops practices - training pipelines, data labeling, model evaluation, and ...

Software Engineer, Senior

Herndon, VA ยท On-site +1

$126K - $166K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience ... Familiarity with ML/Ops practices -- training pipelines, data labeling, model evaluation, and ...

Imagery Scientist (SAR) - Expert

Falls Church, VA ยท On-site +1

$180K - $210K/yr

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 ...

Apply Early

Imagery Scientist (EO) - Senior

Falls Church, VA ยท Remote

$97K - $133K/yr

... data standards or to be transformed into a usable state for labeling and model testing purposes ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Public Health Analyst

Vienna, VA ยท 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 ...

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Remote Data Labeling information

What are some common challenges faced by remote data labelers, and how can they be managed?

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.

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

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What is a Remote Data Labeling job?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What are the most commonly searched types of Data Labeling jobs in Virginia? The most popular types of Data Labeling jobs in Virginia are:
What cities in Virginia are hiring for Remote Data Labeling jobs? Cities in Virginia with the most Remote Data Labeling job openings:

Remote Video Annotators

Barker Staffing Solutions LLC

Hampton, VA โ€ข Remote

Full-time

Posted 14 days ago

Be an early applicant


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