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Remote Amazon Data Annotation Jobs in Maryland (NOW HIRING)

Kobie Marketing

AI Engineer

Annapolis, MD · 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 ...

SAIC

AI Platform Engineer - SETA

Columbia, MD · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description Varen, an SAIC Company is seeking an AI ... Experience supporting AI/ML, data, cloud, or platform engineering efforts in government, defense ...

Cloudera

Staff Software Engineer - Trino

California, MD · Remote

$184K - $230K/yr

With as much data under management as the hyperscalers, we're the preferred data partner for the ... Experience with public cloud infrastructures such as Microsoft Azure, Amazon Web Services and ...

VMD Corp

Software Engineer - TS/SCI

Bethesda, MD · On-site +1

The percentage of remote work will vary based on client requirements/deliverables. Specifically, we ... Our client's overall mission is to design and implement a data centric architecture that leverages ...

Lexical Intelligence LLC

NLM Cloud Engineer III

Bethesda, MD · Remote

$59.50 - $79.50/hr

Demonstrated experience with cloud platforms including Google Cloud (GC), Amazon Web Services (AWS ... Deliver day-to-day cloud operations support, including secure remote access, administration of ...

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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:
Remote Amazon Data Annotation jobs near you

Data Operations Specialist (DBA) US CITIZENS ONLY

Redan LLC

Silver Spring, MD • On-site, Remote

Full-time

Posted 10 days ago

Job description

Redan LLC is seeking an experienced Data Operations Specialist (DBA) to operate and sustain the cloud data environment ensuring stability, reliability, and security across AWS pipelines, databases, and a public open-data portal.
In this role you will keep production data operations healthy and predictable: operating established AWS workflows, administering relational and warehouse databases, publishing datasets through the agency's open-data portal, monitoring platform health, and responding to incidents. You will maintain the operational documentation - SOPs, runbooks, and health and maintenance reports - that keeps the environment auditable and supportable.
The ideal candidate brings hands-on AWS data-operations and database-administration depth, a reliability- and quality-first mindset, and the discipline to meet SLAs in a regulated federal environment. You must be comfortable in an Agile environment and effective at collaborating with engineering, governance, and end-user stakeholders.
What You'll Be Doing
As the Data Operations Specialist (DBA) at Redan, you will:
  • Operate and maintain established AWS-based data workflows (Lambda, Glue, Step Functions, Redshift, RDS PostgreSQL, S3, and related data services)
  • Conduct ongoing database administration - tuning, patching, backup and restore, indexing, and general maintenance - across managed relational and warehouse stores (RDS PostgreSQL and Redshift; SQL Server legacy)
  • Manage the Huwise open-data portal and CKAN data catalog; ensure accurate, timely dataset publication and support new data visualizations
  • Monitor platform health, logging, and alerts; perform initial incident triage and response by severity level
  • Monitor data quality and observability - pipeline execution, data freshness, completeness, and volume anomalies
  • Maintain and update SOPs, runbooks, and operational documentation at least quarterly, and within 30 days of a new or updated data-product release
  • Deliver monthly SLA performance reporting - pipeline success rates, incident summaries, data availability, and operational metrics - plus a monthly database health and maintenance report
  • Provide end-user support and training related to database access, credentials, and data-usage tools
  • Ensure backups meet documented RTO/RPO objectives and that o
    • perations sustain the required successful-run rate
    • Support ATO maintenance, FISMA compliance, and protection of PII and CUI in coordination with the agency IT and security teams

    Profile of Success
    Required:
    • Minimum 5 years of database administration and data-operations experience, including production support
    • Hands-on experience administering Amazon Redshift, RDS (PostgreSQL or SQL Server), or comparable managed data stores - backup and restore, tuning, patching, and performance optimization
    • Experience operating AWS data services (Glue, Lambda, Step Functions, S3) in a production environment
    • Experience designing and maintaining relational schemas, star/snowflake models, indexes, and partition strategies
    • Proficiency in SQL; working proficiency in Python for operational scripting and automation
    • Experience monitoring platform health, logging, and alerting, with incident triage and resolution under SLAs
    • Experience producing SOPs, runbooks, and operational or governance artifacts for federal or regulated stakeholders
    • Familiarity with Agile/Scrum methodologies and ceremonies
    • Excellent written and oral communication; strong troubleshooting and attention to detail

    Preferred:
    • AWS certification (e.g., SysOps Administrator - Associate, Data Engineer - Associate, or Solutions Architect - Associate)
    • Experience with open-data platforms - CKAN, Huwise, or comparable data portals
    • Experience with data-validation tooling (e.g., Great Expectations) and data catalogs (AWS Glue, Lake Formation)
    • Familiarity with infrastructure-as-code (Terraform) and CI/CD
    • Prior federal experience; familiarity with FISMA, ATO maintenance, and Privacy Act and CUI handling
      Conditions of Employment
      • U.S. Citizenship is required
      • Must obtain and maintain a favorably adjudicated Minimum Background Investigation (MBI, Moderate Risk) prior to accessing client systems, and maintain that clearance level throughout the period of performance
      • Fully remote; work performed within the continental United States; no travel is required or anticipated

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