1

Coordinator Ai Data Rater Jobs (NOW HIRING)

AI Data Engineer

Los Angeles, CA

$123K - $148K/yr

We are hiring an AI Data Engineer to own the seam between "customer says yes" and "data is flowing ... Clear written communication, async-first, as most coordination happens over email, chat, and ...

Be Seen First

Experience researching and using modern AI Data Tools (example: Azure ML, AWS SageMaker, Google ... Willingness to work in heavy external client coordination and communication type role. * Experience ...

Reporting to the Senior AI Data Program Manager, the AI Data Enablement Lead is a senior individual ... Strong communication, coordination, and stakeholder management skills. * Experience leading or ...

next page

Showing results 1-20

Coordinator Ai Data Rater information

See salary details

$14

$26

$41

How much do coordinator ai data rater jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for coordinator ai data rater in the United States is $26.73, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $30.77 per hour, depending on experience, location, and employer.
What cities are hiring for Coordinator Ai Data Rater jobs? Cities with the most Coordinator Ai Data Rater job openings:
What are the most commonly searched types of Ai Data Rater jobs? The most popular types of Ai Data Rater jobs are:
What states have the most Coordinator Ai Data Rater jobs? States with the most job openings for Coordinator Ai Data Rater jobs include:
AI Data Management Specialist

AI Data Management Specialist

Cornerstone Defense

Bethesda, MD • On-site

Contractor

Re-posted 2 days ago


Job description

  • Location: Bethesda, Maryland
  • Type: Contract
  • Job #3905

Position - AI Data Management Specialist
Work Location - Bethesda, MD
Security Clearance - TS/SCI with CI Polygraph
Company Overview:

Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense.
Seeking an experienced and skilled AI Data Management Specialist to support the Chief AI Officer and Chief Data Officer (CAIO/CDO) at one of our Intelligence customers. The ideal candidate will have a solid foundation in data management, including practical and strategic expertise across the data lifecycle, data protection, and stakeholder coordination. In this role, you will engage with technical and non-technical senior government data managers to develop, implement, and refine their data management strategies while ensuring alignment with best practices in data protection, privacy, and civil liberties.
Familiarity with AI concepts and vectorization as it relates to AI is required, and knowledge of zero trust principles, and data architecture is highly desirable to enhance your contributions to this critical mission.
Primary Responsibilities
Data Lifecycle Management:
  • Provide expertise in practical and strategic aspects of the data lifecycle, including data collection, storage, usage, sharing, and archival/disposal.
  • Guide senior government stakeholders in the development and execution of comprehensive data management plans aligned with mission goals and compliance requirements.
  • Data Protection and Governance:

  • Deliver practical and strategic guidance on data protection, addressing risks related to data spills, personal information security, and civil liberties.
  • Ensure compliance with data protection policies, laws, and standards, and promote best practices to safeguard sensitive information and preserve privacy.
  • Stakeholder Coordination:

  • Act as a critical liaison, working directly with senior government data managers and technical teams to bridge technical and non-technical perspectives.
  • Facilitate communication and understanding of data management priorities, challenges, and solutions.
  • AI and Emerging Technologies:

  • Apply a foundational understanding of AI to advise on data strategies that enable AI implementation and clear adoption paths.
  • Contribute to discussions and planning related to advanced concepts such as vectorization in AI and data-driven solutions.
  • Strategic Recommendations:

  • Support senior leadership by identifying and addressing gaps in data infrastructure, strategy, and implementation.
  • Advise on policies and practices related to zero trust architecture, data architecture, and cross-organizational data-sharing initiatives.

Qualifications
  • Active TS/SCI with Poly is required.
  • Bachelor's degree with 8+ years of relevant experience, Associate's degree with 10+ years of relevant experience, or Master's degree with 6+ years of relevant experience.
  • Solid background in data management, with a firm, practical, and strategic understanding of the data lifecycle and its application in government or enterprise environments.
  • Understanding of vectorization in AI and its relationship to data usage and analytics.
  • Strong expertise in data protection, especially regarding issues such as data spills, safeguarding personal information, and addressing civil liberties.
  • Ability to coordinate with senior technical and non-technical stakeholders, including government senior data managers, to align data management initiatives with organizational priorities.
  • Familiarity with AI concepts and their implications for data usage and management.

Preferred Qualifications:
  • Knowledge or experience with zero trust architecture principles.
  • Expertise in data architecture design, principles, and governance, with the ability to speak confidently about its implications for strategy and implementation.
  • Experience working for or with Intelligence Community (IC) stakeholders or other government agencies.
  • Strong communication and interpersonal skills to convey complex technical concepts to diverse audiences.