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Remote Amazon Data Annotation Jobs in Atlanta, GA

My Amazon Guy

DTC Brand Strategist

Atlanta, GA · Remote

$45K - $65K/yr

This is a remote position. The DTC Brand Strategist owns client growth across social, search, and ... Collaborate cross-functionally with Creative, Amazon, Paid Media, and Analytics teams to align ...

My Amazon Guy

DTC Team Lead

Atlanta, GA · Remote

$65K - $80K/yr

This is a remote position. The DTC Team Lead is the director-level owner of Direct-to-Consumer (DTC ... Act as strategic partner for high-value clients, aligning DTC and Amazon efforts, and guiding ...

ITTConnect

Python Developer (AWS cloud)

Atlanta, GA · On-site +1

$48.25 - $66.50/hr

... remote. This is basically an Application Development Profile with real time data processing ... Kafka experience (or Amazon Kinesis, Rabbit MQ) Should have knowledge of Rest APIs. Exposure to ...

Kobie Marketing

AI Engineer

Atlanta, GA · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in ...

Deloitte

Databricks Manager

Atlanta, GA · On-site +1

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ... Support data science and model teams with platform needs, environment enablement, and deployment ...

Polar Analytics

Strategic Partnership Manager

Atlanta, GA · Remote

$84K - $85K/yr

We connect every data source a brand runs on - Shopify, Amazon, NetSuite, Meta, Google, Klaviyo ... We're a remote-first team that runs daily standups, ships weekly, and holds ourselves to a standard ...

My Amazon Guy

Performance Marketing Manager

Decatur, GA · Remote

$65K - $80K/yr

This is a remote position. We are looking for a strategic and results-oriented Performance ... The ideal candidate is a data-driven marketing expert with proven experience in managing paid ...

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All JobsRemote Amazon Data Annotation JobsRemote Amazon Data Annotation Jobs in Atlanta, GA

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 some 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 are Remote Amazon Data Annotation jobs?

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 are the key skills and qualifications needed to thrive as a Remote Amazon Data Annotation Specialist, and why are they important?

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 Atlanta, GA? The most popular types of Amazon Data Annotation jobs in Atlanta, GA are:
What are popular job titles related to Remote Amazon Data Annotation jobs in Atlanta, GA? For Remote Amazon Data Annotation jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Annotation jobs in Atlanta, GA look for? The top searched job categories for Remote Amazon Data Annotation jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Amazon Data Annotation jobs? Cities near Atlanta, GA with the most Remote Amazon Data Annotation job openings:
Remote Amazon Data Annotation jobs near you
AWS Full Stack Developer W Amazon Kinesis & AWS Connect - Remote Role

AWS Full Stack Developer W Amazon Kinesis & AWS Connect - Remote Role

Volantsoft Inc

Lawrenceville, GA • Remote

Full-time

Posted 26 days ago

Job description

Role:- AWS Full Stack Developer
Remote
Contract

Role Expectation: -
AWS Full Stack Developer with strong hands-on Amazon Kinesis experience in building real-time event-driven streaming applications using Lambda, API Gateway, Python/Java, and serverless AWS architecture.
Position Summary
We are seeking an experienced AWS Full Stack Developer to lead the migration of contact center call recording and analytics capabilities from the current Amazon Connect and Calabrio integration to a modern architecture. This role will design, develop, and implement cloud-native solutions to transition call recordings, metadata, analytics, and downstream integrations while ensuring security, compliance, and minimal disruption to contact center operations.
The ideal candidate combines strong AWS application development skills with experience in contact center technologies, serverless architectures, data migration, and full-stack application development.

Key Responsibilities
Solution Design and Architecture
  • Design and implement a scalable AWS architecture to migrate call recordings and analytics from Calabrio to Amazon Connect Contact Lens.
  • Assess the existing Amazon Connect and Calabrio integration, including recording storage, metadata structures, retention policies, and reporting dependencies.
  • Define migration strategies for historical recordings, transcripts, and associated metadata.
  • Develop reusable Infrastructure as Code using AWS CloudFormation, Terraform, or AWS CDK.

Backend Development
  • Build serverless and microservices-based applications using AWS Lambda, Amazon API Gateway, and Amazon SQS.
  • Develop APIs and automation to extract recordings and metadata from Calabrio and load them into AWS services such as Amazon S3 and Amazon DynamoDB.
  • Integrate with Amazon Transcribe and Contact Lens analytics where required.

Front-End Development
  • Develop dashboards and administrative tools using React, Angular, or Vue.js.
  • Build interfaces for migration monitoring, reconciliation, and operational reporting.

Data Migration and Validation
  • Develop automated scripts to migrate historical call recordings, transcripts, and metadata.
  • Perform data validation, reconciliation, and integrity checks.
  • Ensure chain of custody and auditability throughout the migration process.

DevOps and Automation
  • Build and maintain CI/CD pipelines using GitHub GitHub Actions, Atlassian Jenkins, or Amazon Web Services AWS CodePipeline.
  • Automate environment provisioning, testing, and deployment.

Security and Compliance
  • Implement encryption, access controls, and audit logging using AWS Key Management Service, AWS Identity and Access Management, and AWS CloudTrail.
  • Ensure compliance with HIPAA, PCI, and enterprise data retention requirements.

Collaboration
  • Partner with contact center, infrastructure, security, and business stakeholders.
  • Support testing, cutover planning, and post-production stabilization.

Required Qualifications
  • 5+ years of experience developing applications on AWS.
  • 3+ years of experience with Amazon Connect.
  • Experience with Amazon Connect Contact Lens and/or call recording analytics platforms.
  • Experience integrating with Calabrio or similar workforce and recording solutions.
  • Strong proficiency in Python, TypeScript, or Java.
  • Front-end development experience with React or Angular.
  • Expertise in REST APIs, serverless architecture, and event-driven design.
  • Experience with Infrastructure as Code and CI/CD automation.
  • Strong understanding of data migration, reconciliation, and testing methodologies.

Preferred Qualifications
  • Amazon Web Services certifications such as AWS Certified Developer Associate or AWS Certified Solutions Architect Professional.
  • Experience in healthcare or regulated environments.
  • Knowledge of contact center quality management and analytics processes.
  • Familiarity with Amazon Athena, Amazon QuickSight, and Amazon OpenSearch Service.

Top 3 Critical Skills
  1. AWS Full Stack Development Serverless application development using Lambda, API Gateway, React/Angular, and AWS-native services.
  2. Amazon Connect and Contact Lens Expertise Deep understanding of call recording, transcription, analytics, and contact center integrations.
  3. Data Migration and Automation Experience migrating large volumes of recordings and metadata with validation, reconciliation, and CI/CD automation.