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Annotation Judge Jobs (NOW HIRING)

Lancesoft - Viren

Be Seen First

Annotation Lead

Seattle, WA · Remote

$45 - $50/hr

The Annotation Judge plays a crucial role in fine-tuning and calibrating AI/ML processes that handle verbal interactions, between home buyers and real estate agents for example. Works directly with ...

New

Insight Global

Real Estate Specialist

Seattle, WA · Remote

$25 - $33/hr

... Annotation Judge playing a key role in evaluating and improving AI-driven interactions by assessing conversation quality, chatbot accuracy, and classification outputs; this position works cross ...

New

Insight Global

Real Estate Specialist

San Francisco, CA · Remote

$25 - $33/hr

... Annotation Judge playing a key role in evaluating and improving AI-driven interactions by assessing conversation quality, chatbot accuracy, and classification outputs; this position works cross ...

New

Insight Global

Real Estate Specialist

Los Angeles, CA · Remote

$25 - $33/hr

... Annotation Judge playing a key role in evaluating and improving AI-driven interactions by assessing conversation quality, chatbot accuracy, and classification outputs; this position works cross ...

New

Cohere

Data Annotation Specialist, Safety

New York, NY · On-site

... Annotation Specialists with backgrounds and skills in Trust & Safety, Content Moderation, AI model ... This role is best suited for candidates who bring strong contextual judgment, cultural and bias ...

Apple

Senior Frontend Engineer, Annotation Tools

Sunnyvale, CA · On-site

$143.80K - $197.80K/yr

... strong UX judgment when they don't. You'll help shape frontend systems that scale gracefully ... Expertise building annotation, labeling, or complex data-visualization tools.Experience integrating ...

Q ANALYSTS LLC

Data Annotation Technician

Kirkland, WA · On-site +1

Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ... Analyze content and use best judgement for proper answers * Meet daily, weekly and monthly velocity ...

Genesis10

AI Linguist - Hybrid

Mountain View, CA · Hybrid

$50.27 - $60.27/hr

The ideal candidate will contribute expertise to the human judgment and annotation pipeline development that is foundational to our client's AI model improvement. This work positively impacts the ...

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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.

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Annotation Judge jobs near you
Infographic showing various Annotation Judge job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 7% Physical, and 93% Remote job distribution.

Annotation Lead

Lancesoft - Viren

Seattle, WA • Remote

$45 - $50/hr

Contractor

Posted 23 hours ago

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Job description

6 months contract with possible extension
Description: Will work approximately 9-5PM PST (plus lunch, as needed) as hours and days will vary. Ideal candidates will be licenses real estate agents looking for additional income. These opportunities are remote but they must reside in the area (Seattle in this case) to know the market. Hours, schedule and duration will vary (ie a few days) but could consistently come back as needed,
About the team:

  • Artificial Intelligence (AI) and Machine Learning (ML) are at the heart of the organization’s services, from the Zestimate to personalized home recommendations t o automated home tours! We believe in making all information transparent and providing insights that help more people get home - with speed, certainty and ease.
  • The Artificial Intelligence team is harnessing the power of Generative Artificial Intelligence to build services and product experiences for a seamless and convenient real estate transaction experience. The Artificial Intelligence Platform team is building platform services that enable usage of Large Language Models (LLMs) and multimodal models across ***  businesses.
  • Will work a team of real-estate experts and contribute to our growing set of Agentic projects. Combines expertise in the real-estate process stages with a deep curiosity around Artificial Intelligence-powered experiences.


About the role:

  • The Annotation Judge plays a crucial role in fine-tuning and calibrating AI/ML processes that handle verbal interactions, between home buyers and real estate agents for example. Works directly with experienced Operations Managers, ML Engineers, Data Scientist, Software Developers and Natural Language experts.
  • Responsible for ensuring the quality of a number of possible elements related to our projects. Projects such as reviewing the accuracy and humanlike traits of automated chatbots answers, to the classification of elements of a conversation annotated automatically or the review of search results based on understanding of complex users queries.
  • Plays an essential role in defining clear guidelines which may be used by non-native English speakers. Attention to detail and natural curiosity for language subtleties is essential for the long term scaling of our solutions.


Major responsibilities:

  • Review and/or evaluate annotated data to ensure it meets quality standards and project requirements.
  • Provide feedback and guidance to engineers to improve accuracy.
  • Collaborate with engineers and data scientists to optimize model performance based on annotated data.
  • Develop and maintain annotation guidelines and best practices.
  • Provide training data to engineers to establish Ground Truth data.
  • Provide input/examples on Training content.
  • Identify gaps in training content and suggest improvements.


MINIMUM QUALIFICATIONS

  • Minimum of 3+ years of active experience as a licensed real estate agent or broker, demonstrating a deep understanding of the real estate transaction process.
  • Demonstrated deep interest and curiosity in Artificial Intelligence, including experience reviewing or evaluating AI-generated content.
  • Bachelor's degree in English, Linguistics or a related field.
  • Experience working on Natural Language Processing projects with a focus on transcriptions, localization, translation.
  • Excellent attention to detail and analytical skills.
  • Ability to work effectively in a collaborative team environment.
  • Experience with tools and software used for Natural Language Processing annotation is a plus.


PREFERRED QUALIFICATIONS

  • Experience with copywriting, User Experience authoring, content development around voice and brand guidelines.
  • Experience with Machine-generated Speech evaluation, Search Results Evaluation, Search Query Categorization
  • Experience following or managing complex processes, and working both independently and with a team to achieve a goal.

Company Description

LanceSoft is a global workforce solutions and IT services firm founded in 2000, specializing in temporary/permanent staffing, IT services, and outsourcing (RPO) for sectors like healthcare and IT. Headquartered in Herndon, Virginia, with a significant presence in India, the certified minority/woman-owned company employs over 5,700 professionals