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Director Ai Data Entry Jobs (NOW HIRING)

Marriott

Senior Director, AI Data

Bethesda, MD · On-site

The Senior Director will help define a multi-year roadmap for AI Data and deliver the capabilities sequentially with measurable business impact. Expected Contributions Enterprise Ontology & Semantic ...

Artefact

Director, AI & Data Consulting

Manhattan, NY · On-site

The Role Artefact is looking for a Director of AI & Data Consulting to help lead our US consulting practice. Our consultants are not spectators of the AI transformation they advise on - they are ...

Ptgconsulting

Director, AI & Data Product

Manhattan, NY · On-site

$155 - $175/hr

Director, AI & Data Product Full-time Regular Director New York, NY, US 5 days ago Requisition ID: 1553 Who we are: At Preferred Travel Group, we champion the power of travel to inspire meaningful ...

RXinsider LTD.

$180 - $260/hr

Senior Director, AI, Data, and Architecture Position Summary The Senior Director, AI, Data, and Architecture is responsible for leading EnlivenHealth's AI strategy, data platform direction ...

Artefact

Director, AI & Data Science

Manhattan, NY · On-site

Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the ... Directing the build of robust agent harnesses - orchestration layers, evaluation frameworks ...

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How much do director ai data entry jobs pay per year?

As of Sep 4, 2026, the average yearly pay for director ai data entry in the United States is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $163,500.00 per year, depending on experience, location, and employer.

What is a director AI data entry?

Director AI Data Entry jobs involve overseeing teams and processes related to managing, verifying, and optimizing data entry for artificial intelligence projects. This role typically includes developing strategies for efficient data collection, ensuring data accuracy, and implementing best practices for training AI models. Directors in this field work closely with data scientists, engineers, and entry staff to ensure high-quality datasets, compliance with privacy standards, and the smooth operation of large-scale AI data pipelines. The position requires strong leadership skills, technical expertise in data management, and a deep understanding of AI data requirements.

What are the key skills and qualifications needed to thrive as a director AI data entry?

To thrive as a Director of AI Data Entry, you need expertise in data management, AI/machine learning fundamentals, and a relevant degree such as computer science or information systems. Familiarity with data annotation tools, project management software, and AI platforms like TensorFlow or PyTorch is typically required, along with certifications in data science or project management. Strong leadership, attention to detail, and effective communication are critical soft skills for coordinating teams and ensuring data quality. These skills ensure efficient workflow, high-quality datasets, and successful integration of AI solutions within organizational goals.

How does a director AI data entry typically collaborate with technical and non-technical teams?

A Director of AI Data Entry frequently bridges the gap between data entry staff, data scientists, and IT professionals to ensure data quality and integrity for AI projects. This role often involves translating project requirements into clear, actionable processes for data entry teams while also communicating data challenges and opportunities to upper management and technical teams. Effective collaboration and clear communication across departments are key, as the director must facilitate workflow alignment, resolve data issues, and support seamless integration of AI data pipelines. Regular meetings and status updates are common, and the director is expected to foster a culture of accuracy and continuous improvement.

What cities are hiring for Director Ai Data Entry jobs?

Cities with the most Director Ai Data Entry job openings:

What are the most commonly searched types of Ai Data Entry jobs?

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What states have the most Director Ai Data Entry jobs?

States with the most job openings for Director Ai Data Entry jobs include:

Director Ai Data Entry jobs near you
Infographic showing various Director Ai Data Entry job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.

Senior Director, AI Data

Marriott International

Bethesda, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Marriott International rating

6.4

Company rating: 6.4 out of 10

Based on 1,190 frontline employees who took The Breakroom Quiz

55th of 109 rated hotels

Job description


Position Summary
Marriott International is seeking a strategic and execution-focused leader to serve as Senior Director, AI Data within the Data Services organization. Reporting to the Managing Vice President, Data Services, this role will lead the design and delivery of the AI-ready data foundation on which enterprise AI products, analytics, personalization, and intelligent experiences depend.
This leader will be responsible for transforming Marriott data into trusted, contextualized, reusable, and safely consumable assets for both human users and AI systems. The role brings together enterprise semantic models, knowledge graphs, metadata, data products, feature and context services, and governed access patterns that allow AI systems to discover, interpret, and use enterprise information with confidence.
This is a build-and-transform mandate within Data Services, requiring strong partnership across Data Platform, Data Engineering, Data Governance, AI/ML, Digital, Loyalty, Operations, Commercial, and corporate functions. The Senior Director will help define a multi-year roadmap for AI Data and deliver the capabilities sequentially with measurable business impact.
Expected Contributions
Enterprise Ontology & Semantic Layer
  • Define and govern the shared vocabulary of the enterprise so systems, models, analytics, and AI agents operate from consistent definitions of core concepts such as guest, property, stay, transaction, loyalty interaction, reservation, and operational event.

  • Lead the development of business-aligned semantic models and common data definitions that improve interoperability, reuse, and decision consistency across Marriott.

  • Partner with domain leaders and governance teams to ensure semantic assets are owned, maintained, and embedded into data products and consumption experiences.

Connected Knowledge Graph
  • Move beyond rows-and-tables thinking toward a relationship-first intelligence layer that connects guest signals, property attributes, loyalty behavior, digital interactions, commercial activity, and operational events.

  • Lead the design and delivery of knowledge graph capabilities that allow AI systems and analysts to reason across relationships, context, and enterprise entities.

  • Prioritize high-value graph use cases that support personalization, service recovery, operational intelligence, marketing effectiveness, and decision automation.

Agent-Discoverable Metadata
  • Create metadata capabilities that make data assets machine-readable, discoverable, trusted, and usable by AI systems with appropriate human oversight.

  • Expand metadata coverage across business glossary, lineage, freshness, ownership, quality, usage, and access classifications.

  • Partner with Data Governance and Data Platform teams to embed metadata as a core service for AI, analytics, and enterprise data consumption.

MCP Servers & Agent APIs
  • Shape governed interfaces through which internal and partnered AI agents can query enterprise knowledge, retrieve context, and trigger approved actions.

  • Partner with AI, platform, security, privacy, and architecture teams to establish Model Context Protocol patterns, agent APIs, auditability, and policy controls.

  • Ensure AI consumption patterns are designed for scale, transparency, access control, and responsible enterprise use.

Real-Time Knowledge Movement
  • Advance event-driven and freshness-aware data capabilities so knowledge assets and downstream AI consumers reflect current reality rather than stale snapshots.

  • Partner with engineering and platform teams to reduce batch dependencies where near-real-time context is required for AI and business decisioning.

  • Drive standards for freshness, observability, reliability, and operational readiness across priority AI Data assets.

AI Data Products & Context Services
  • Establish reusable AI-ready data products, features, embeddings, vectorized assets, and context services that accelerate delivery of GenAI, ML, personalization, analytics, and agentic solutions.

  • Promote domain-oriented ownership and lifecycle management for data products used by AI and advanced analytics teams.

  • Reduce duplication and improve speed-to-market by standardizing how context and reusable intelligence assets are created, managed, and consumed.

Candidate Profile
Education and Experience Required
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Management, Business, or a related field.

  • Ten or more years of experience in knowledge engineering, enterprise data, analytics, applied-AI platforms, data architecture, or related disciplines.

  • At least five years of experience owning end-to-end delivery of enterprise-scale data, AI, analytics, or platform capabilities.

  • Demonstrable experience designing, delivering, or operating one or more of the following: enterprise ontologies, semantic layers, production knowledge graphs, metadata platforms, feature stores, or real-time data infrastructure.

  • Experience leading cross-functional teams and complex transformation efforts in a large, matrixed, global organization.

  • Working fluency with the agentic-AI stack, including model context interfaces, retrieval architectures, vector stores, graph stores, metadata-driven systems, and enterprise governance patterns.

  • Experience with AI-ready data capabilities such as context layers, semantic models, vectorized data assets, feature stores, knowledge graphs, and governed APIs.

Preferred Qualifications
  • Strong understanding of data privacy, security, access controls, lineage, data quality, stewardship, and responsible AI practices.

  • Proven ability to influence executive stakeholders and communicate with clarity on data strategy, AI readiness, risk, architecture, and business value.

  • Comfort operating with senior stakeholders including executives, audit, risk, legal, privacy, owners, franchise partners, and business leaders.

  • Track record of hiring, developing, and retaining senior technical, product, and data talent.

  • Governed agent access patterns support responsible, auditable, and scalable AI consumption across internal and partnered use cases.

At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.
About Us
All positions offer a 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts. Benefits are subject to terms and conditions, which may include rules regarding eligibility, enrollment, waiting period, contribution, benefit limits, election changes, benefit exclusions, and others. Click here to learn more.
Full-time positions also offer coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave and educational assistance.
Washington Applicants Only: Employees will accrue paid sick leave, 0.077 PTO balance for every hour worked and be eligible to receive a minimum of 9 holidays annually.
Marriott HQ is committed to a hybrid work environment that enables associates to Be connected. Headquarters-based positions are considered hybrid, for candidates within a commuting distance to Bethesda, MD; candidates outside of commuting distance to Bethesda, MD will be considered for Remote positions.
About the Team
Marriott International is the world's largest hotel company, with more brands, more hotels and more opportunities for associates to grow and succeed. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.

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