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Data Annotation For Ai Jobs in Arizona (NOW HIRING)

Troon Golf

AI Platform Architect

Scottsdale, AZ · On-site

Design semantic data models, embeddings strategies, and vector storage approaches that make Troon's data consumable by large language models * Establish technical patterns for AI implementation ...

Troon

AI Platform Architect

Scottsdale, AZ · On-site

Design semantic data models, embeddings strategies, and vector storage approaches that make Troon's data consumable by large language models * Establish technical patterns for AI implementation ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Chandler, AZ · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Peoria, AZ · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Phoenix, AZ · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Tempe, AZ · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Goodyear, AZ · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Buckeye, AZ · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Tucson, AZ · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Yuma, AZ · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Surprise, AZ · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Mesa, AZ · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Glendale, AZ · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Gilbert, AZ · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

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All JobsData Annotation For Ai JobsData Annotation For Ai Jobs in Arizona

Data Annotation For Ai information

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.
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What job categories do people searching Data Annotation For Ai jobs in Arizona look for? The top searched job categories for Data Annotation For Ai jobs in Arizona are:
What cities in Arizona are hiring for Data Annotation For Ai jobs? Cities in Arizona with the most Data Annotation For Ai job openings:
Data Annotation For Ai jobs near you
Infographic showing various Data Annotation For Ai job openings in Arizona as of August 2026, with employment types broken down into 50% Part Time, and 50% Contract. Highlights an 100% In-person job distribution.

AI Platform Architect

Troon Golf

Scottsdale, AZ • On-site

Full-time

Re-posted 4 days ago

Troon rating

6.2

Company rating: 6.2 out of 10

Based on 123 frontline employees who took The Breakroom Quiz

18th of 28 rated golf clubs

Job description

Troon's Corporate office, located in Scottsdale, AZ, is pleased to announce an excellent career opportunity for an AI Platform Architect! We are seeking a highly motivated individual who is eager to learn, contribute, and advance their career within a rapidly growing organization. The ideal candidate will bring a strong commitment to professional development and a desire to succeed in a dynamic corporate environment.
The AI Platform Architect designs and implements the architecture that connects Troon's data platform to AI-enabled applications, including retrieval-augmented generation (RAG) services, document and content pipelines, agent-to-data interfaces, and AI workflow orchestration. Builds reusable platform components and patterns that enable AI use cases to be delivered consistently, reliably, and at scale across the organization. Serves as the technical authority on how AI systems consume Troon's data and interact with operational systems of record.
Key Responsibilities:
  • Design and build reusable architectural components for AI-enabled solutions, including retrieval pipelines, knowledge bases, document parsing, validation engines, content and KPI libraries, and workflow orchestrators that accelerate delivery across use cases
  • Define how AI agents and applications interact with Troon's data platform, including retrieval scopes, function-calling schemas, and write-back patterns, and implement integration with systems of record (e.g., Dynamics F&O, Dynamics CE, Premier POS) to ensure data quality, freshness, and auditability
  • Design semantic data models, embeddings strategies, and vector storage approaches that make Troon's data consumable by large language models
  • Establish technical patterns for AI implementation, including prompt design, output validation, evaluation harnesses, and feedback capture loops
  • Lead technical design reviews for AI use cases and ensure architectural alignment with the broader Azure and Microsoft Fabric platform
  • Partner with the Sr. Data Platform Architect on the underlying data foundation and with full stack developers on application-layer integration
  • Optimize performance, cost, and reliability across AI workloads, including model selection, caching, and retrieval efficiency

Required Qualifications:
  • 7+ years of experience in software architecture, data engineering, or platform engineering
  • 2+ years of hands-on experience designing AI/ML or LLM-powered applications
  • Proven experience integrating AI systems with enterprise data platforms and operational systems

Preferred Qualifications:
  • Experience designing RAG pipelines and working with vector databases at production scale
  • Experience implementing agentic workflows or function-calling integrations with LLMs
  • Experience working within Azure data platforms and Microsoft Fabric environments

Required Knowledge and Skills:
  • Deep understanding of LLM application architecture, including RAG, function calling, and agent orchestration patterns
  • Strong proficiency in data modeling, semantic layer design, and integration patterns across heterogeneous systems
  • Experience with vector databases, embeddings, and retrieval system design
  • Strong understanding of API design, event-driven architectures, and workflow orchestration tools
  • Excellent technical communication skills, with the ability to translate AI concepts into actionable architecture for engineering teams

Preferred Knowledge and Skills:
  • Familiarity with Azure data services (Data Factory, Synapse, Data Lake, Fabric) and Delta Lake
  • Experience with prompt engineering and AI evaluation techniques (golden datasets, LLM-as-judge, red-teaming)
  • Knowledge of document parsing, OCR, and unstructured data processing
  • Familiarity with model performance monitoring, drift detection, and observability for AI systems

Education Requirements:
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
  • Equivalent combination of education and experience may be considered

About Troon:
Founded in 1990 and headquartered in Scottsdale, AZ, Troon is the world's largest professional club management company, that specializes in services in golf, hospitality, and residential communities. With more than 900 locations in 45+ states and 27+ countries, Troon is a leading employer in hospitality. Guided by values that emphasize being infectiously energetic, consciously kind, and humbly prosperous, Troon offers professionals the opportunity to grow and succeed within a globally respected organization. Learn more at www.troon.com.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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About Troon Golf

Sourced by ZipRecruiter

Troon started as one facility in 1990 and has since grown to become the world's largest professional club management company. We offer careers around the world at all levels of golf operations, opportunities for professional development, growth opportunities and a comprehensive benefits package. Our goal is to create extraordinary guest and member experiences through personalized service, consistency, and uncompromising attention to detail. For more information about the Troon Experience, please visit

Industry

Fitness and sports centers, hospitality services and traveler accommodation

Company size

10,000+ Employees

Headquarters location

Scottsdale, AZ, US

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