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Remote Amazon Data Annotation Jobs in Annapolis, MD

Theory AI

Machine Learning Engineer

Washington, DC · Remote

$3.0K/wk

This is a Remote (work from home) position. Most of the machine learning work that reaches ... Review the ground-truth work our annotation teams produce, and feed problems back into the ...

New

Theory AI

Machine Learning Engineer

Washington, DC · Remote

$3.0K/wk

This is a Remote (work from home) position. Most of the machine learning work that reaches ... Review the ground-truth work our annotation teams produce, and feed problems back into the ...

New

Theory AI

Machine Learning Engineer

Washington, DC · Remote

$3.0K/wk

This is a Remote (work from home) position. Most of the machine learning work that reaches ... Review the ground-truth work our annotation teams produce, and feed problems back into the ...

New

Kobie Marketing

AI Engineer

Annapolis, MD · Remote

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in ...

Ashburn Consulting

Systems Engineer

Washington, DC · On-site +1

... Amazon RDS on Oracle. Axway Secure Transport / MFT Fundamentals: • 5+ years experience with ... at Rest, Data in Motion). • Authentication such as OKTA and Netskope remote access. • ...

New

Empower AI Inc.

Senior Software Developer

Washington, DC · Remote

$61.75 - $81.50/hr

Responsibilities Empower AI is looking for a highly experienced remote Senior Lead Software ... Develop application, integration, deployment, and data architecture artifacts. * Evaluate ...

Empower AI Inc.

Senior Software Developer

Washington, DC · On-site +1

$61.75 - $81.50/hr

Responsibilities Empower AI is looking for a highly experienced remote Senior Lead Software ... Develop application, integration, deployment, and data architecture artifacts. * Evaluate ...

Empower AI Inc.

Senior Software Developer

Washington, DC · Remote

$61.75 - $81.50/hr

Responsibilities Empower AI is looking for a highly experienced remote Senior Lead Software ... Develop application, integration, deployment, and data architecture artifacts. * Evaluate ...

Sparibis

Solution Architect

Washington, DC · On-site +1

$71.25 - $94/hr

Location: 100% Remote Travel: Ability to be onsite in Camp Springs, MD for project support as ... Collaborate with data scientists, machine learning engineers, and development teams to architect ...

SpaceX

Technical Satellite Policy Analyst

Washington, DC · On-site +1

$85K - $100K/yr

Our customers currently include teachers in the most remote parts of the Amazon, researchers in ... Hands on experience with frequency and time domain data * Working knowledge of RF transmission ...

Humana

Senior Cybersecurity Engineer

Washington, DC · Remote

$129K - $177K/yr

Contribute to Data Protection security solutions R&D to evaluate the latest cutting edge tools ... Additional Information Remote/WAH requirements: * WAH requirements: Must have the ability to ...

New

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All JobsAmazon Data Annotation JobsRemote Amazon Data Annotation JobsRemote Amazon Data Annotation Jobs in Annapolis, MD

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 Annapolis, MD look for?

The top searched job categories for Remote Amazon Data Annotation jobs in Annapolis, MD are:

What cities near Annapolis, MD are hiring for Remote Amazon Data Annotation jobs?

Cities near Annapolis, MD 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 Annapolis, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

GenAI Data Automation Engineer

System One

Washington, DC • Remote

$48.95/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 22 days ago

Job description

Job Title: GenAI Data Automation Engineer Location: Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public Trust Responsibilities

  • Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB, and Step Functions.
  • Develop ETL/ELT processes to move data between DynamoDB, SQL Server (AWS), and Azure SQL systems.
  • Integrate AWS Connect CRM data into the enterprise data pipeline for analytics and operational reporting.
  • Engineer, enhance ingestion pipelines with Apache Spark, Flume, Kafka for real-time and batch processing into Apache Solr, AWS Open Search platforms.
  • Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face, LangChain) to create automated processes for vector generation and embeddings, automate data quality checks, metadata tagging, and lineage tracking, and enhance ingestion/ETL with LLM-assisted transformation and anomaly detection.
  • Build conversational BI interfaces that allow natural language access to Solr and SQL data.
  • Develop AI-powered copilots for pipeline monitoring and automated troubleshooting.
  • Implement SQL Server stored procedures, indexing, query optimization, profiling, and execution plan tuning to maximize performance.
  • Apply CI/CD best practices using GitHub, Jenkins, or Azure DevOps for data pipelines and GenAI model integration.
  • Ensure security and compliance through IAM, KMS encryption, VPC isolation, RBAC, and firewalls.
  • Support Agile DevOps processes with sprint-based delivery of pipeline and AI-enabled features.
Requirements:
  • BS in Computer Science or related field with 2+ years of data engineering, automation experiences.
  • Hands-on experience with SQL, SSIS, Python, Spark, Bash, PowerShell, AWS/Azure CLIs.
  • Experience with AWS services like S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB.
  • Familiarity with Apache Flume, Kafka, Solr for large-scale data ingestion and search.
  • Familiarity with LLM, Gen AI frameworks using AWS Bedrock, Azure OpenAI or open source platforms and tools.
  • Experience with integrating REST API calls in workflows.
  • Familiarity with JIRA, GitHub / Azure DevOps / Jenkins for SDLC and CI/CD automation.
  • Strong troubleshooting and performance optimization skills in SQL, Spark or other data solutions.
  • Experience operationalizing Generative AI (GenAI Ops) pipelines, including model deployment, monitoring, retraining, and lifecycle management for LLMs and AI-enabled data workflows.
  • Good communication and presentation skills.
  • Ability to obtain Federal government Public Trust clearance.
Preferred (plus)
  • Certifications: AWS Data Engineer, AWS AI/ML Specialty, Azure AI Engineer, Databricks Data Engineer.
  • Experience implementing RAG pipelines, embeddings, and vector search with Solr, OpenSearch, FAISS, Pinecone, or Pgvector/SQL server vector types.
  • Experience with GenAI powered coding tools such as Claude Code, OpenAI Codex, VS Code.
  • Experience with multi-cloud data integration (AWS – Azure SQL).
  • Familiarity with Microsoft BizTalk and SSIS for SQL Server ETL workflows.
  • Knowledge of data lineage/governance tools (Purview, Unity Catalog, AWS Glue Catalog).
  • Familiarity with Infrastructure-as-Code (Terraform/CloudFormation, Bicep) for deployments.
  • Experience with compliance frameworks (FedRAMP, PCI-DSS, HIPAA).

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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