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

YO AI Labs

Medical Coder - Remote

New York, NY · Remote

$20.50 - $27.25/hr

Remote Job Overview We are seeking experienced Medical Coders to contribute their healthcare coding ... Familiarity with digital annotation tools or healthcare data projects is a plus. * Commitment to ...

New

Shaped

Senior Data Scientist

Brooklyn, NY · On-site +1

$100K - $150K/yr

Google, Amazon, Uber, Dropbox etc...). Our team comes from Meta, Google, Apple and Uber. We're remote but have an office in Brooklyn, New York. We're looking for a Senior Data Scientist to help ...

Project Healthy Minds

Services Data Lead

New York, NY · Remote

$75 - $100/hr

Fully remote within the US. Documentation and the playbook are important deliverables Expect a ... Real experience running data operations with a human-in-the-loop or annotation component ...

Abaxis

Data Engineer

Parsippany, NJ · Remote

$105K - $151K/yr

Amazon S3, Redshift, Azure Storage) and distributed file systems (HDFS) * Strong proficiency in SQL ... Position is Parsippany, NJ preferred; remote considered The US base salary range for this full-time ...

micro1 AI

AI Trainer - Microbiology Expert

Newark, NJ · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

micro1 AI

AI Trainer - Microbiology Expert

Yonkers, NY · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

HumanSignal

Delivery Lead

New York, NY · Remote

$110K - $140K/yr

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation -- delivering the datasets that frontier AI research requires and remote ...

Mondo

Commerce Media Strategist

Manhattan, NY · Remote

$40 - $48/hr

Remote Start Date Is: ASAP Duration: (contract, perm, etc) 3 month contract Compensation Range: $40 ... Amazon DSP and Walmart DSP. * Analyze campaign performance and leverage retail media data to ...

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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

Medical Coder - Remote

YO AI Labs

New York, NY • Remote

$20.50 - $27.25/hr

Full-time

Posted yesterday

New

Job description

Job Title: Medical Coder

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Medical Coders to contribute their healthcare coding expertise to an innovative project focused on improving next-generation AI systems. In this role, you will review and annotate medical records, evaluate coding accuracy, and provide expert feedback to support the development of high-quality medical datasets. No prior AI experience is required—your coding expertise and attention to detail are what matter most.

Key Responsibilities

  • Review and annotate medical records to accurately assign ICD-10 and CPT codes based on clinical documentation.

  • Apply Evaluation & Management (E&M) guidelines to assess coding levels and validate healthcare datasets.

  • Ensure compliance with current medical coding standards and guidelines.

  • Analyze clinical documentation and identify coding-related ambiguities or inconsistencies.

  • Provide expert feedback on coding guidelines, edge cases, and documentation scenarios.

  • Collaborate with project teams through written and verbal communication to improve AI training data quality.

Required Skills

  • Medical Coding

  • ICD-10

  • CPT

  • CPC Certification

  • Evaluation & Management (E&M)

  • Clinical Documentation Review

  • Coding Accuracy & Compliance

  • Attention to Detail

  • Written & Verbal Communication

Preferred Qualifications

  • Active AAPC Certified Professional Coder (CPC) certification required.

  • Strong knowledge of ICD-10, CPT coding systems, and E&M leveling guidelines.

  • Experience working with diverse clinical documentation types.

  • Ability to interpret complex medical records and apply appropriate coding standards.

  • Strong written and verbal communication skills.

  • Familiarity with digital annotation tools or healthcare data projects is a plus.

  • Commitment to accuracy, quality, and continuous learning in healthcare coding and technology