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Remote Amazon Data Annotation Jobs in Burlington, NJ

Named in Fortune's 2020 'Future 50' list, ahead of Facebook and Amazon * Ranked in Forbes' 2020 ... PracticeMatch is the industry leader in providing practicing physician and resident/fellow data and ...

Named in Fortune's 2020 'Future 50' list, ahead of Facebook and Amazon * Ranked in Forbes' 2020 ... PracticeMatch is the industry leader in providing practicing physician and resident/fellow data and ...

Named in Fortune's 2020 'Future 50' list, ahead of Facebook and Amazon * Ranked in Forbes' 2020 ... PracticeMatch is the industry leader in providing practicing physician and resident/fellow data and ...

Showing results 41-49

Remote Amazon Data Annotation information

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 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 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 job categories do people searching Remote Amazon Data Annotation jobs in Burlington, NJ look for?

The top searched job categories for Remote Amazon Data Annotation jobs in Burlington, NJ are:

What cities near Burlington, NJ are hiring for Remote Amazon Data Annotation jobs?

Cities near Burlington, NJ with the most Remote Amazon Data Annotation job openings:

Infographic showing various Remote Amazon Data Annotation job openings in Burlington, NJ as of June 2026, with employment types broken down into 65% Full Time, 29% Part Time, and 6% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior Backend DevOps Engineer (Remote Opportunity)

VetsEZ

Philadelphia, PA • On-site, Remote

$131K - $168K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

VetsEZ is currently seeking a Senior Backend DevOps Engineer for a 100% remote position supporting the Department of Veterans Affairs' Joint Longitudinal Viewer (JLV) program. JLV is a mission-critical clinical application that aggregates real-time patient data from VA and DoD systems, enabling clinicians to access a unified longitudinal view of patient health information. The ideal candidate will have hands-on experience operating containerized microservices in AWS ECS, designing enterprise-grade CI/CD pipelines, implementing observability and SRE practices, and supporting secure, compliant, highly available cloud environments.

The candidate must reside within the continental US.

Responsibilities:

Operate and optimize Amazon ECS deployments for JLV backend microservices.
Configure and manage service scaling, task definitions, health checks, and blue/green deployment strategies.
Implement and maintain Infrastructure as Code solutions aligned with VA Enterprise Cloud (VAEC) architecture standards.
Support multi-region high availability and disaster recovery environments within AWS GovCloud.
Design, maintain, and improve CI/CD pipelines for containerized microservices.
Automate build, test, security scanning, deployment, verification, and rollback processes.
Create repeatable deployment procedures and release workflows supporting VA governance requirements.
Automate system configuration, database updates, performance tuning, and post-deployment validation.
Build and maintain monitoring, logging, alerting, and notification systems for JLV backend services.
Execute backup, restore, outage recovery, and incident response procedures.
Develop operational runbooks and support production readiness activities.
Establish performance baselines and support load testing and release validation.
Implement security controls supporting FedRAMP High, NIST 800-53, FISMA, and VA compliance frameworks.
Integrate security practices into CI/CD pipelines and operational workflows.
Support continuous monitoring, audit activities, and remediation efforts.
Implement IAM solutions following government cloud best practices.
Partner with backend engineers, product teams, security teams, and operations personnel.
Support production issue triage and service reliability improvements.
Guide releases through VA governance and approval processes.
Maintain architecture documentation, deployment guides, and operational procedures.
Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements:

Experience operating containerized microservices on AWS ECS.
Strong understanding of container orchestration, service scaling, load balancing, and health monitoring.
Proficiency with AWS CLI and production cloud operations.
Experience designing and supporting CI/CD pipelines for enterprise environments.
Knowledge of Infrastructure as Code practices and automation frameworks.
Working knowledge of FedRAMP High, NIST 800-53, FISMA, and government cloud compliance requirements.
Experience implementing observability solutions, incident response processes, and SRE practices.
Strong understanding of AWS networking, IAM, security groups, and multi-region disaster recovery architectures.

Additional Qualifications:

Experience working in AWS GovCloud environments.
Familiarity with VA Enterprise Cloud architecture and deployment patterns.
Experience supporting healthcare applications or clinical viewer platforms.
Familiarity with deployment governance, operational readiness reviews, and production operations management.
Experience integrating with VA or DoD healthcare systems and services.
Knowledge of VIP lifecycle processes and associated release documentation.

Security Clearance Requirements:

U.S. Citizenship is required.
Ability to obtain and maintain a Public Trust clearance or higher.

Benefits:

Medical/Dental/Vision.
401k with Employer Match.
PTO + Federal Holidays.
Corporate Laptop.
Training Opportunities.
Remote Opportunity.

VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time.

Employment Type: FULL_TIME