1

Annotation Judge Jobs in Virginia (NOW HIRING)

next page

Showing results 1-20

Annotation Judge information

What are the key skills and qualifications needed to thrive as an Annotation Judge, and why are they important?

To thrive as an Annotation Judge, you need strong analytical skills, attention to detail, and subject matter expertise relevant to the data being evaluated, usually supported by a degree in a related field. Familiarity with annotation platforms, data labeling tools, and quality assurance systems is typically required. Excellent communication, impartiality, and critical thinking help you provide clear feedback and maintain high annotation standards. These skills are crucial to ensure data accuracy and consistency, which directly impact the performance of machine learning models.

What are some common challenges faced by Annotation Judges, and how can they effectively overcome them?

Annotation Judges often face challenges such as maintaining impartiality, handling ambiguous or subjective data, and ensuring high consistency across large volumes of work. To overcome these, it’s essential to follow established guidelines closely, communicate regularly with team members for clarification, and participate in calibration sessions. Staying detail-oriented and seeking feedback can also help maintain accuracy and fairness in their assessments.

What is an Annotation Judge?

An Annotation Judge is a professional who evaluates the quality and accuracy of labeled data, such as text, images, or audio, which has been annotated for use in machine learning and artificial intelligence projects. Their main responsibility is to review, verify, and ensure that the data annotations meet specific guidelines and standards. Annotation Judges play a critical role in improving the reliability of training datasets, which directly impacts the performance of AI systems. They often work closely with data annotators, quality assurance teams, and project managers to maintain high data quality.

What is the difference between Annotation Judge vs Data Annotator?

AspectAnnotation JudgeData Annotator
CredentialsTypically requires basic education, sometimes certification in data labelingUsually requires similar or less formal education, often on-the-job training
Work EnvironmentOffice or remote, working with data labeling platformsOffice or remote, performing data labeling tasks
Industry UsageUsed across AI, machine learning, and data science projectsCommon in AI, machine learning, and data preparation workflows
Search & Comparison IntentOften compared for roles involving data review and quality controlCompared for entry-level data labeling roles

The main difference between an Annotation Judge and a Data Annotator lies in their roles. Annotation Judges typically review and validate annotations made by Data Annotators, ensuring quality and accuracy. Data Annotators perform the initial labeling of data. Both roles are essential in AI data pipelines, with Annotation Judges focusing on quality control and Data Annotators on data preparation.

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

Remote Video Annotators

Barker Staffing Solutions LLC

Hampton, VA • Remote

Full-time

Posted 9 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