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Remote Amazon Data Annotation Jobs in Atlanta, GA

INFT Solutions Inc

Remote -AWS Data Engineer

Atlanta, GA · Remote

$110K - $132K/yr

AWS Data Engineer Location: Remote Employment Type: Contract / Full-Time Job Summary We are seeking ... The ideal candidate should have hands-on expertise with AWS Glue, Spark ETL, Step Functions, Amazon ...

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 ...

Hp

Indigo Remote Technical Expert

Alpharetta, GA · Remote

... data analysis skills Resolves moderate to complex technical problems effectively, encompassing ... Preferred Certifications ITIL Certifications Knowledge & Skills Amazon Web Services Automation ...

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 ...

Uncapped

GTM Engineer

Remote role in the US, Canada or Europe Role Overview At Uncapped, we help ambitious founders ... We leverage multiple data sources and use cutting-edge models to make credit decisions faster and ...

Uncapped

GTM Engineer

Atlanta, GA · Remote

Remote role in the US, Canada or Europe Role Overview At Uncapped, we help ambitious founders ... We leverage multiple data sources and use cutting-edge models to make credit decisions faster and ...

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All JobsAmazon Data Annotation 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
Infographic showing various Remote Amazon Data Annotation job openings in Atlanta, GA as of July 2026, with employment types broken down into 1% Locum Tenens, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Remote -AWS Data Engineer

INFT Solutions Inc

Atlanta, GA • Remote

$110K - $132K/yr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: AWS Data Engineer
Location: Remote
Employment Type: Contract / Full-Time
Job Summary
We are seeking a highly skilled AWS Data Engineer with strong experience in building scalable cloud-native data platforms and ETL pipelines on AWS. The ideal candidate should have hands-on expertise with AWS Glue, Spark ETL, Step Functions, Amazon EKS, Kubernetes, Lambda, S3 Data Lake architectures, SQS, KEDA, Glue Data Catalog, Glue Data Quality, and CloudWatch.
Key Responsibilities

·Design, develop, and maintain scalable ETL pipelines using AWS Glue and Apache Spark (PySpark).

·Build and orchestrate data workflows using AWS Step Functions.

·Design and implement S3 Data Lake architectures following AWS best practices.

·Develop and deploy containerized applications on Amazon EKS using Kubernetes.

·Build event-driven data processing solutions using Amazon SQS, AWS Lambda, and KEDA for auto-scaling.

·Manage metadata using AWS Glue Data Catalog.

·Implement data validation and governance using AWS Glue Data Quality.

·Monitor applications and data pipelines using Amazon CloudWatch.

·Optimize ETL jobs, Spark workloads, and Kubernetes deployments for performance and scalability.

·Collaborate with architects, developers, DevOps, and business stakeholders to deliver robust cloud data solutions.

·Participate in Agile ceremonies including sprint planning, code reviews, and production deployments.

Required Skills

·5+ years of experience in Data Engineering or Cloud Engineering.

·Strong hands-on experience with AWS Glue.

·Experience building Spark ETL pipelines using PySpark.

·Experience with AWS Step Functions.

·Strong knowledge of Amazon S3 Data Lake architecture and storage patterns.

·Hands-on experience with Amazon EKS and Kubernetes.

·Experience implementing event-driven architectures using Amazon SQS, AWS Lambda, and KEDA.

·Experience with AWS Glue Data Catalog and Glue Data Quality.

·Strong experience monitoring AWS workloads using Amazon CloudWatch.

·Good understanding of distributed data processing and cloud-native application design.

·Experience working in Agile/Scrum environments.
Preferred Skills

·Python / PySpark

·SQL

·Terraform or CloudFormation

·Docker

·Git

·CI/CD (Jenkins, GitHub Actions, CodePipeline)

·Kafka

·Apache Airflow

·Delta Lake / Iceberg / Lake Formation

·IAM, VPC, CloudTrail
Education

·Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Mandatory Skills

·AWS Glue

·Spark ETL / PySpark

·AWS Step Functions

·Amazon S3 Data Lake

·Amazon EKS

·Kubernetes

·Amazon SQS

·KEDA

·AWS Lambda

·Glue Data Catalog

·Glue Data Quality

·Amazon CloudWatch
Nice to Have

·Terraform

·Docker

·Python

·SQL

·CI/CD

·Kafka

·AWS Certifications (Solutions Architect, Developer, Data Engineer, or DevOps Engineer)