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Remote Amazon Data Annotation Jobs in Washington, DC

... 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 ...

... 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 ...

... 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 ...

Senior Full Stack Engineer

Reston, VA · On-site +1

$75 - $85/hr

Remote (need to work in core EST hours) Pay Range: $70 - $80/hr Team: Cross Program Microservices ... The candidate will also possess technical skills and experience in the data management and ...

We are open to considering fully remote applicants. Dewberry is a leading, market-facing ... Manage ORD and OBM data environments and model health , including information governance strategy ...

Solution Architect

Camp Springs, MD · On-site +1

$66 - $87/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 ...

Senior Cloud Software Engineer - NASA

Annapolis, MD · Remote

$59.50 - $77.25/hr

... data from NASA's Earth Science missions. Location: Remote, based out of Annapolis, MD with ... In-depth knowledge of Amazon Web Services (AWS) including networking and serverless services such ...

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Administer AWS-managed database services, including Amazon RDS, Aurora, DynamoDB, DocumentDB, and ...

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Administer AWS-managed database services, including Amazon RDS, Aurora, DynamoDB, DocumentDB, and ...

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Administer AWS-managed database services, including Amazon RDS, Aurora, DynamoDB, DocumentDB, and ...

Cyber Engineer

Herndon, VA · On-site +1

$84K - $114K/yr

We protect data wherever it resides. Our unwavering dedication and commitment to our customers and ... Mission oriented to provide training, troubleshooting, and on-site/remote support to customers.

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Administer AWS-managed database services, including Amazon RDS, Aurora, DynamoDB, DocumentDB, and ...

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Administer AWS-managed database services, including Amazon RDS, Aurora, DynamoDB, DocumentDB, and ...

Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact ... Administer AWS-managed database services, including Amazon RDS, Aurora, DynamoDB, DocumentDB, and ...

We protect data wherever it resides. Our unwavering dedication and commitment to our customers and ... Mission oriented to provide training, troubleshooting, and on-site/remote support to customers.

Google Workspace Engineer

Herndon, VA · On-site +1

$70K - $135K/yr

Design and implement data loss prevention (DLP) controls for Workspace content * Implement Gmail ... Experience operating and maintaining systems on Google Cloud Platform (GCP), Amazon Web Services ...

DevSecOps Engineer

Washington, DC · On-site +1

$140K - $160K/yr

Hands-on experience with Terraform and OpenTofu, including modules, remote state, and workspace ... Amazon Web Services (AWS) cloud platform experience. * Experience with secrets management tools ...

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Showing results 1-20

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 Washington, DC? The most popular types of Amazon Data Annotation jobs in Washington, DC are:
What are popular job titles related to Remote Amazon Data Annotation jobs in Washington, DC? For Remote Amazon Data Annotation jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Annotation jobs in Washington, DC look for? The top searched job categories for Remote Amazon Data Annotation jobs in Washington, DC are:
Databricks Manager

Databricks Manager

Deloitte

Mclean, VA • On-site, Remote

Other

Posted 11 days ago


Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

71st of 146 rated financial services


Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Databricks Manager on the AI & Data team, you will be responsible for...

  • Lead solution reviews and design update discussions to drive architecture decisions and secure design approvals
  • Translate approved designs into technical delivery plans and support the delivery team in building Databricks environments across Microsoft Azure, Amazon Web Services, and Google Cloud Platform, including integrations
  • Provide hands-on support for Databricks development, platform configuration, and infrastructure setup
  • Coordinate technical execution across the global delivery team to support quality delivery and issue resolution
  • Support data science and model teams with platform needs, environment enablement, and deployment readiness

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or equivalent experience.
  • 8+ years of experience with Databricks platform implementation, configuration, or development
  • Experience leading solution reviews, design updates, and architecture approval activities for cloud data platforms
  • Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services, or Google Cloud Platform, including integrations
  • Experience with Databricks MLOps or infrastructure setup
  • Experience coordinating delivery teams from a technical lead perspective and communicating designs, status, issues, and decisions to clients and project stakeholders
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience in consulting, including experience serving healthcare industry clients

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $147,600 to $174,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Databricks Manager on the AI & Data team, you will be responsible for...

  • Lead solution reviews and design update discussions to drive architecture decisions and secure design approvals
  • Translate approved designs into technical delivery plans and support the delivery team in building Databricks environments across Microsoft Azure, Amazon Web Services, and Google Cloud Platform, including integrations
  • Provide hands-on support for Databricks development, platform configuration, and infrastructure setup
  • Coordinate technical execution across the global delivery team to support quality delivery and issue resolution
  • Support data science and model teams with platform needs, environment enablement, and deployment readiness

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or equivalent experience.
  • 8+ years of experience with Databricks platform implementation, configuration, or development
  • Experience leading solution reviews, design updates, and architecture approval activities for cloud data platforms
  • Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services, or Google Cloud Platform, including integrations
  • Experience with Databricks MLOps or infrastructure setup
  • Experience coordinating delivery teams from a technical lead perspective and communicating designs, status, issues, and decisions to clients and project stakeholders
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience in consulting, including experience serving healthcare industry clients

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $147,600 to $174,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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