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Annotation Judge Jobs in New York (NOW HIRING)

Maintain consistent judgment across a high volume of short action segments. * Complete assigned ... Preferred * Experience with video annotation, data labeling, computer vision datasets, or ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

AI Finance Expert - Remote

New York, NY · Remote

$93K - $116K/yr

... judgment are what matter most. Key Responsibilities * Analyze, review, and edit AI-generated ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

Comfort judging whether a correct nursing finding was properly escalated and documented Preferred * Prior data annotation, labeling, or AI evaluation experience is a plus Application Process (Takes ...

The Clinical Specialist will play a critical role in data generation, annotation, and evaluation to ... Strong clinical judgment and attention to detail, with the ability to evaluate medication‑related ...

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Annotation Judge information

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 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 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 New York?

For Annotation Judge jobs in New York, the most frequently searched job titles are:

What job categories do people searching Annotation Judge jobs in New York look for?

The top searched job categories for Annotation Judge jobs in New York are:

What cities in New York are hiring for Annotation Judge jobs?

Cities in New York with the most Annotation Judge job openings:

Video Annotation Specialist - Fully Remote | Upto $25/hr

New York, NY • Remote

$25/hr

Full-time

Posted 10 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: AI Data Generalist — Egocentric Video Review
Type: Contract
Compensation: $20–$25/hour
Location: Remote
Duration: Approximately 2 weeks

Role Responsibilities

  • Review egocentric video data and complete structured quality-review tasks.
  • Evaluate action segments within videos for accurate start and end boundaries.
  • Adjust or flag incorrect boundaries following provided guidelines.
  • Maintain consistent judgment across a high volume of short action segments.
  • Complete assigned videos within the project timeline.

Qualifications

Must-Have

  • Excellent attention to detail and visual comprehension.
  • Ability to distinguish closely related actions and moments in video.
  • Comfort with structured, repetitive review work while maintaining accuracy.
  • Quick learning and consistent application of detailed annotation guidelines.
  • Strong written English communication skills.

Preferred

  • Experience with video annotation, data labeling, computer vision datasets, or egocentric video.

Start Date

  • Monday morning 17th August (PST)

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.