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Remote Amazon Data Annotation Jobs in Maryland (NOW HIRING)

The percentage of remote work will vary based on client requirements/deliverables Fun stuff you ... Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S) #NMECDTP ...

The role may be Hybrid, either in San Antonio Tx or Falls Church VA or potentially remote with ... analytic databases, like Amazon Redshift and SSMS for scalable ML solutions Preferred ...

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

... Amazon Web Services (AWS), Google Cloud Platform (GCP), or similar platforms. * Knowledge of MLOps ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

... Amazon Web Services (AWS), Google Cloud Platform (GCP), or similar platforms. * Knowledge of MLOps ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

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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 Maryland? The most popular types of Amazon Data Annotation jobs in Maryland are:
What are popular job titles related to Remote Amazon Data Annotation jobs in Maryland? For Remote Amazon Data Annotation jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Annotation jobs in Maryland look for? The top searched job categories for Remote Amazon Data Annotation jobs in Maryland are:
What cities in Maryland are hiring for Remote Amazon Data Annotation jobs? Cities in Maryland with the most Remote Amazon Data Annotation job openings:

Senior AWS Amazon Connect Engineer

Leidos

Gaithersburg, MD • Remote

$107K - $195K/yr

Full-time

Posted yesterday

New


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

77th of 483 rated business services


Job description

Leidos is seeking an experienced Senior AWS Amazon Connect Engineer to lead implementation, integration, and operational support for an AI-enabled omnichannel contact center supporting the HUD FHA Resource Center. The selected candidate will own Amazon Connect architecture, contact flows, routing, Salesforce integration, Amazon Lex integration, and deployment of voice and chat capabilities within a secure AWS environment.

Core Responsibilities:

  • Design and deploy Amazon Connect environments for voice and chat service delivery.

  • Build and maintain Contact Flows, IVR workflows, queue design, routing logic, and agent workspace configuration.

  • Implement Amazon Connect Chat and web chat widget integration for omnichannel customer support.

  • Integrate Amazon Connect with Amazon Lex V2, AWS Lambda, Amazon Polly, Amazon Bedrock, CloudWatch, SNS, DynamoDB, S3, IAM, and KMS.

  • Support Salesforce Contact Center with Amazon Connect (SCC-AC), Salesforce Omni-Channel, OAuth authentication, screen pops, and transfer workflows.

  • Develop operational dashboards, call/chat metrics, routing analytics, and performance tuning recommendations.

  • Apply least-privilege IAM, encryption, monitoring, and other security controls aligned to FedRAMP requirements.

  • Partner with AI engineers, cybersecurity personnel, and program leadership to support migration from legacy contact-center tooling to an AWS-native stack.

Please Note: This is 100% telework/remote opportunity. However, candidate must be/reside in the Gaithersburg, MD/Washington, DC metro area.

Required Qualifications:

  • Bachelor's degree and 8+ years of relevant experience OR Masters degree with 6+ years of relevant years of experience. Additional years of relevant experience maybe considered and/or accepted in lieu of degree.

  • 8+ years of related cloud/contact-center engineering experience.

  • At least 5 years of hands-on Amazon Connect experience.

  • Demonstrated experience integrating Amazon Connect with Amazon Lex and Salesforce.

  • Strong AWS architecture, networking, and Lambda experience.

  • Experience supporting enterprise migration efforts and production operations in regulated environments.

  • Excellent communication skills and the ability to collaborate across technical and program teams.

  • Ability to obtain and maintain a Public Trust security clearance.

  • US Citizen.

Preferred Qualifications:

  • AWS certifications such as Solutions Architect Professional or Advanced Networking.

  • Amazon Connect migration experience from a prior enterprise CCaaS platform.

  • Experience supporting FedRAMP Moderate environments and government programs.

  • Background in government customer service or contact-center operations.

  • Experience with CI/CD, infrastructure as code, and operational observability.

Success Measures:

  • Amazon Connect voice and chat channels are deployed and stable.

  • Salesforce integration and live-agent transfer pathways operate seamlessly.

  • Security, monitoring, and operational readiness requirements are met.

  • The platform supports reliable routing, efficient handling, and a strong customer experience.

Target Technical Skills: Highly Desired/Preferred Skills (Nice to Have):

  • Amazon Connect, Contact Flows, Amazon Connect Chat, Amazon Lex V2, Amazon Polly.

  • AWS Lambda, IAM, KMS, CloudWatch, S3, DynamoDB, SNS.

  • Salesforce Omni-Channel, SCC-AC, OAuth 2.0, REST APIs.

  • Python, CloudFormation or Terraform, CI/CD, operational reporting.

Please Note: The program budget salary for this role could fall anywhere between $130,000 to low/mid $150,000 with a slight wiggle room (no guarantees) based on relevant experience and assessment. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:August 3, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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