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Remote Amazon Data Annotation Jobs in West Virginia

... data. This position is remote Work visa sponsorship will not be provided WHAT YOU'LL BE DOING ... Experience with Tableau, Amazon WorkSpaces, Jira, and Confluence. * Working knowledge of HIPAA ...

$120K - $140K/yr

We leverage cutting-edge technology and data-driven strategies to provide exceptional service to ... This is a remote opportunity to work from home. What You'll Do: * Architect and implement robust ...

Cloud Solutions Engineer

WV · On-site +1

$50.25 - $67/hr

Amazon Web Services (AWS), AWS Compute, Microsoft Azure, Monitoring, Storage Certifications: None ... Remote working candidates will be considered; however the preference is for candidates to go onsite ...

$140K - $175K/yr

Remote, Anywhere in the United States or Canada Who We Are Left Field Labs is the creative ... Use data and performance insights to inform strategy and optimize results. * Test, measure, and ...

$40/hr

Provide analysis and trending of security log data from a large number of various security devices ... Familiarity with Amazon Web Services (AWS) and/or Google App Engine (GAE) * Working knowledge of ...

New

$40/hr

Provide analysis and trending of security log data from a large number of various security devices ... Familiarity with Amazon Web Services (AWS) and/or Google App Engine (GAE) * Working knowledge of ...

New

$40/hr

Provide analysis and trending of security log data from a large number of various security devices ... Familiarity with Amazon Web Services (AWS) and/or Google App Engine (GAE) * Working knowledge of ...

New

Showing results 21-33

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 are the most commonly searched types of Amazon Data Annotation jobs in West Virginia?

The most popular types of Amazon Data Annotation jobs in West Virginia are:

What are popular job titles related to Remote Amazon Data Annotation jobs in West Virginia?

For Remote Amazon Data Annotation jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Data Annotation jobs in West Virginia look for?

The top searched job categories for Remote Amazon Data Annotation jobs in West Virginia are:

What cities in West Virginia are hiring for Remote Amazon Data Annotation jobs?

Cities in West Virginia with the most Remote Amazon Data Annotation job openings:

Infographic showing various Remote Amazon Data Annotation job openings in West Virginia as of August 2026, with employment types broken down into 48% Full Time, 35% Part Time, and 17% Contract. Highlights an 100% Remote job distribution.

Investigative Analyst (CMS Healthcare Claims)

GDIT

WV • On-site, Remote

$83K - $113K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

88th of 226 rated it services


Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

None

Job Family:

Ancillary Health

Job Qualifications:

Skills:

Health Insurance Claims, Investigation, Medical Claims Analysis

Certifications:

None

Experience:

8 + years of related experience

US Citizenship Required:

No

Job Description:

GDIT is hiring a healthcare claims Investigative Analyst to support the Centers for Medicare and Medicaid (CMS), you will be trusted to identify trends in the data and create leads and referrals for the Healthcare Fraud Prevention Partnership (HFPP) members (Partner) and the Trusted Third Party (TTP).

You will be part of a 50-person team supporting the TTP which was established in 2012 to reduce fraud, waste and abuse in healthcare data.

This position is remote

Work visa sponsorship will not be provided

WHAT YOU'LL BE DOING:

  • Performs analytical tasks in support of HFPP program, including identifying fraud, waste, and abuse referrals and leads from HFPP Analytics

  • Conduct data mining across the partnership utilizing internal tools

  • Collaborate on the development of HFPP analytic reports

  • Develops fraud, waste, and abuse referrals and leads for Partners based on HFPP analytic reports

  • Drive outcome metrics related to fraud, waste, and abuse referrals and leads shared with Partners

  • Interacts regularly with Partners regarding referrals and leads identified

  • May perform business development activities including analyzing health claims data, generating study referrals and leads, developing provider background profiles, and identifying opportunities for Partner collaboration meetings

WHAT YOU'LL NEED TO SUCCEED (required):

  • BA/BS or equivalent experience

  • 8+ years' experience in health care claims analysis (equivalent work experience will be considered in lieu of degree)

  • Strong oral and written communication skills with the ability to present to management level staff.

  • Expert level knowledge of Microsoft Office suite.

  • Experience with Tableau, Amazon WorkSpaces, Jira, and Confluence.

  • Working knowledge of HIPAA privacy and security rules.

WHAT WOULD BE EVEN BETTER (preferred):

  • Certified Fraud Examiner (CFE) or Accredited Healthcare Fraud Investigator (AHFI) designation strongly desired.

  • Certified clinical coding

SKILLS & ATTRIBUTES FOR SUCCESS:

  • Strong decision-making skills and a demonstrated history of established leadership qualities as well as proven organizational skills.

  • Commitment to confidentiality, privacy, and professionalism.

  • Ability to independently follow through on problems.

  • Detail oriented and ability to prioritize multiple tasks and work under pressure.

  • Ability to work on complex projects with general direction and minimal guidance

  • Ability to build effective relationships, demonstrating strong interpersonal skills.

  • Exhibit high initiative to get things accomplished; high organizational ability to juggle multiple priorities.

  • Ability to perform well and achieve goals both in a team environment, with staff at all levels, and independently.

GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.

  • Growth: AI-powered career tool that identifies career steps and learning opportunities
  • Support: An internal mobility team focused on helping you achieve your career goals
  • Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
  • Flexibility: Full-flex work week to own your priorities at work and at home
  • Community: Award-winning culture of innovation and a military-friendly workplace


OWN YOUR OPPORTUNITY
Explore a career in health at GDIT and you'll find endless opportunities to grow alongside colleagues who share your sense of purpose for making a difference.

The likely salary range for this position is $83,927 - $113,549. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US