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Data Annotation Services Jobs in Virginia (NOW HIRING)

Telus Digital

$168K - $210K/yr

Our data annotation capabilities transform raw, ambiguous data into contextually enriched training assets through advanced labeling services covering image and video, audio, text, and 3D sensor ...

General Motors

Senior AI/ML Engineer

Richmond, VA · On-site +1

$103.40K - $142K/yr

... ML model services , which powers data‑annotation pipelines and machine‑led training data ... data annotation (pre‑labeling, autolabeling, active learning loops), helping us move from ...

Beyond SOF

DATA ENGINEER

Reston, VA · On-site

$119.10K - $143K/yr

Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server ... Our FOMA initiative relies heavily on Amazon Web Services (AWS) infrastructure Clearance: AN ACTIVE ...

Beyond SOF

DATA ENGINEER

Reston, VA · On-site

$119.30K - $143.30K/yr

Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server ... Our FOMA initiative relies heavily on Amazon Web Services (AWS) infrastructure Clearance: AN ACTIVE ...

Beyond SOF

DATA ENGINEER

Reston, VA · On-site

$119.30K - $143.30K/yr

Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server ... Our FOMA initiative relies heavily on Amazon Web Services (AWS) infrastructure Clearance: AN ACTIVE ...

Telus Digital

$132K - $165K/yr

Our data annotation capabilities transform raw, ambiguous data into contextually enriched training assets through advanced labeling services covering image and video, audio, text, and 3D sensor ...

Telus Digital

$132K - $165K/yr

Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Enterprise ... annotation requirements. Strategic Partnerships & Go-to-Market Alignment * Partner closely with ...

Telus Digital

$168K - $210K/yr

Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Enterprise ... annotation requirements. Strategic Partnerships & Go-to-Market Alignment * Partner closely with ...

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Data Annotation Services information

What are the key skills and qualifications needed to thrive in Data Annotation Services, and why are they important?

To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.

What are some common challenges faced when working in data annotation services, and how can I address them?

In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.

What are data annotation services?

Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.

What is the difference between Data Annotation Services vs Data Labeling Specialists?

AspectData Annotation ServicesData Labeling Specialists
CredentialsTypically no formal credentials required; focus on trainingOften have training in specific tools or industry standards
Work EnvironmentCollaborative, often remote or in-office teamsSimilar, working in teams or independently on labeling tasks
Industry UsageUsed by AI/ML companies for training datasetsEmployed in similar settings, focusing on labeling data for AI models
Search & Comparison IntentUnderstanding services offered for data preparationLooking for roles or tasks related to data labeling

Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.

What are popular job titles related to Data Annotation Services jobs in Virginia? For Data Annotation Services jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Annotation Services jobs in Virginia look for? The top searched job categories for Data Annotation Services jobs in Virginia are:
What cities in Virginia are hiring for Data Annotation Services jobs? Cities in Virginia with the most Data Annotation Services job openings:
Data Annotation Services jobs near you

Remote Video Annotators

Barker Staffing Solutions LLC

Hampton, VA • Remote

Full-time

Posted 8 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