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Remote Amazon Data Annotation Jobs in New York (NOW HIRING)

Shaped

Data Engineer

Brooklyn, NY · Remote

$130K - $200K/yr

Google, Amazon, Uber, Dropbox etc...). Our team comes from Meta, Google, Apple and Uber. We're a remote team but have a small office in Brooklyn, New York. We are looking for a data engineer to ...

Mondo

Amazon DSP, Sr Spec

Manhattan, NY · Remote

$35 - $40/hr

Remote (US Based) Start Date Is: ASAP Duration: 3 Month Contract (option to extend or convert ... Data & Measurement Data-Driven: * Analyze campaign data to extract actionable insights and support ...

Kenvue

Associate Manager, Amazon Activations

Chatham, NJ · On-site +1

$110K - $156K/yr

Fully Remote What you will do Associate Manager, Amazon Influencer and Activations Lead the ... Translate insights from performance data, social trends and consumer behavior into clear ...

Kenvue

Associate Manager, Amazon Activations

Summit, NJ · On-site +1

$110K - $156K/yr

Fully Remote What you will do Associate Manager, Amazon Influencer and Activations Lead the ... Translate insights from performance data, social trends and consumer behavior into clear ...

Kenvue

Associate Manager, Amazon Activations

Summit, NJ · On-site +1

$110K - $156K/yr

Fully Remote What you will do Associate Manager, Amazon Influencer and Activations Lead the ... Translate insights from performance data, social trends and consumer behavior into clear ...

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All JobsAmazon Data Annotation JobsRemote Amazon Data Annotation JobsRemote Amazon Data Annotation Jobs in New York

Remote Amazon Data Annotation information

What is the difference between Remote Amazon Data Annotation vs Remote Mechanical Turk Worker?

AspectRemote Amazon Data AnnotationRemote Mechanical Turk Worker
CredentialsNo formal certifications required, but attention to detail helpsNo formal certifications required, basic task understanding needed
Work EnvironmentRemote, flexible hours, online platformRemote, flexible hours, online micro-task platform
Employer & IndustryAmazon, e-commerce, AI training dataVarious clients, data labeling, surveys, research

Remote Amazon Data Annotation involves labeling data specifically for Amazon's AI and e-commerce needs, often requiring attention to detail. Mechanical Turk workers perform a variety of micro-tasks across industries. While both are remote and flexible, data annotation is more specialized for AI training, whereas Mechanical Turk offers broader task types.

What are common challenges faced by remote Amazon data annotation specialists and how can they be addressed?

Remote Amazon Data Annotation specialists often encounter challenges such as maintaining consistency and accuracy across large volumes of data, managing repetitive tasks, and staying engaged while working independently. To address these, it's important to develop a strong attention to detail, utilize quality control tools provided by the platform, and take regular breaks to minimize fatigue. Additionally, staying connected with your team through regular check-ins and feedback sessions can help ensure alignment on annotation guidelines and improve overall performance.

What is a remote Amazon data annotation job?

Remote Amazon Data Annotation jobs involve labeling, categorizing, or tagging data such as images, text, or audio to help train machine learning models used by Amazon. Employees work from home using specialized tools to ensure accuracy and consistency in the data provided. These roles often require attention to detail, the ability to follow guidelines, and sometimes specific domain knowledge depending on the project. Data annotation is essential for improving the performance of AI systems in tasks like product recommendations, voice recognition, and search algorithms. These roles may be full-time, part-time, or project-based, offering flexibility for remote workers.

What skills and qualifications are needed for a remote Amazon data annotation specialist?

To thrive as a Remote Amazon Data Annotation Specialist, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a high school diploma or relevant experience. Competence with web-based annotation tools, cloud-based platforms, and sometimes Amazon-specific data systems is typically required. Diligence, consistency, effective communication, and the ability to work independently are valuable soft skills in this role. These skills and qualities are important to ensure high-quality, accurate data labeling that supports effective machine learning and AI model development.
What are the most commonly searched types of Amazon Data Annotation jobs in New York? The most popular types of Amazon Data Annotation jobs in New York are:
What are popular job titles related to Remote Amazon Data Annotation jobs in New York? For Remote Amazon Data Annotation jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Annotation jobs in New York look for? The top searched job categories for Remote Amazon Data Annotation jobs in New York are:
What cities in New York are hiring for Remote Amazon Data Annotation jobs? Cities in New York with the most Remote Amazon Data Annotation job openings:
Remote Amazon Data Annotation jobs near you

Registered Nurse - Fully Remote | Upto $65/hr

Mercor

New York, NY • Remote

$65/hr

Full-time

Posted yesterday

New

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: Adult Inpatient Nurses (RN)
Type: Contract
Compensation: $55–$65/hour
Location: Remote

Role Responsibilities

  • Review and evaluate AI-generated clinical outputs based on nursing flowsheet documentation.
  • Validate accuracy, completeness, and adherence to current documentation standards.
  • Annotate and structure inpatient nursing assessment data for AI training datasets.
  • Provide expert feedback on nursing assessments and documentation practices.
  • Identify gaps, inconsistencies, or risks in AI-generated responses.
  • Collaborate with technical teams to improve model performance.

Qualifications

Must-Have

  • Active RN license (U.S., outside California).
  • Recent adult acute care inpatient bedside experience.
  • Experience within the last 5–10 years with current workflows and documentation practices.
  • Comfortable performing and documenting comprehensive nursing assessments.
  • Comfortable following detailed annotation guidelines consistently.
  • Excellent written communication skills and responsiveness to feedback.
  • Ability to work independently and meet deadlines.

Preferred

  • Epic EHR experience.
  • Comfortable learning new annotation tools and web-based platforms.
  • Able to navigate transcripts efficiently and use AI-assisted tools appropriately.
  • Experience reviewing charts for quality improvement, utilization review, CDI, or clinical informatics.
  • Previous annotation, chart abstraction, or healthcare AI experience.

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.