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Ai Labeling Jobs in Arizona (NOW HIRING)

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Senior Data Engineer in the AI Data Curation track, you will ensure that the data powering our ... Experience with data annotation tools and platforms for manual or semi-automated labeling.

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... Unpacks reagent orders as received; logs them in the reagent database; creates labels, tracking ...

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... Unpacks reagent orders as received; logs them in the reagent database; creates labels, tracking ...

Teammate Footwear

Tucson, AZ · On-site

$16 - $21.50/hr

... private label credit card enrollment, etc.). * Adhere to established policies and procedures ... AI tools are not permitted to be used by the candidate during any part of the interview process.

Teammate Apparel

Tucson, AZ · On-site

$13.75 - $19/hr

... private label credit card enrollment, etc.). * Adhere to established policies and procedures ... AI tools are not permitted to be used by the candidate during any part of the interview process.

Teammate Footwear

Gilbert, AZ · On-site

$17 - $22.75/hr

... private label credit card enrollment, etc.). * Adhere to established policies and procedures ... AI tools are not permitted to be used by the candidateduring any part of the interview process.

... private label credit card enrollment, etc.). * Adhere to established policies and procedures ... AI tools are not permitted to be used by the candidate during any part of the interview process.

Teammate Footwear

Gilbert, AZ

$17 - $22.75/hr

... private label credit card enrollment, etc.). * Adhere to established policies and procedures ... AI tools are not permitted to be used by the candidate during any part of the interview process.

Senior Developer

Phoenix, AZ

$54 - $71.50/hr

Utilizes source control to label, package, and deploy applications utilizing best practices ... Experience using agentic AI coding tools and workflows to enhance development productivity and code ...

Prep Cook, Culinary - Sloan Park

Mesa, AZ · On-site

$21/hr

  • Medical

  • PTO

Text JOB to 75000 and search requisition ID number 1499070 The advertised program is an AI ... Stores, labels and dates all food items according to policy. Follows HACCP guidelines. * Completes ...

The advertised program is an AI recruiting assistant that helps you apply to jobs with Compass ... Stores, labels and dates all food items according to policy. Follows HACCP guidelines. * Completes ...

Showing results 41-60

Ai Labeling information

See Arizona salary details

$9

$13

$15

How much do ai labeling jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ai labeling in Arizona is $13.02, according to ZipRecruiter salary data. Most workers in this role earn between $11.63 and $14.33 per hour, depending on experience, location, and employer.

What does an AI labeling team member do?

A typical day as an AI Labeling team member involves reviewing large volumes of data—such as images, audio, or text—and accurately tagging or categorizing each piece according to specific guidelines. You’ll often work both independently and in collaboration with a team lead or quality assurance specialist, who reviews and validates your work. Regular communication with teammates and project managers helps clarify any ambiguities and ensures consistency across the project. While the work can be repetitive, it is essential for creating training data that powers AI models, and team members often rotate between different projects for variety and skill development.

What is an AI labeling?

An AI labeling job involves annotating data (such as images, text, audio, or video) to help train machine learning models. This can include tasks like categorizing objects, transcribing speech, or identifying patterns. Accurate labeling is essential for AI systems to learn and improve their performance. The job typically requires attention to detail and an understanding of specific labeling guidelines. It is often performed using specialized software tools provided by AI companies.

How much do AI labelers make?

AI labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are remote and may require familiarity with data annotation tools and attention to detail.

What are the key skills and qualifications needed to thrive in AI labeling?

To thrive in an AI Labeling role, you need strong attention to detail, the ability to follow detailed instructions, and basic computer literacy, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, workflow management tools, and sometimes image or audio editing software is commonly expected. Strong communication, patience, and the ability to quickly learn new guidelines are valuable soft skills in this position. These skills are essential to ensure high-quality, accurate datasets that directly impact the performance of artificial intelligence systems.

What are the most commonly searched types of Ai Labeling jobs in Arizona?

The most popular types of Ai Labeling jobs in Arizona are:

What are popular job titles related to Ai Labeling jobs in Arizona?

For Ai Labeling jobs in Arizona, the most frequently searched job titles are:

What cities in Arizona are hiring for Ai Labeling jobs?

Cities in Arizona with the most Ai Labeling job openings:

Infographic showing various Ai Labeling job openings in Arizona as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $27,074 per year, or $13 per hour.

Senior Database Security Engineer

American Express

Phoenix, AZ

$105K - $143K/yr

Full-time

Posted 9 days ago


American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

23rd of 150 rated financial services


Job description

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.

The Technology organization enables and accelerates the company's growth strategies, delivering global capabilities and services in support of Amex's customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.

At American Express, our mission is to deliver the world's best customer experience every day. At the heart of this mission is our Information Security organization, enabling exceptional experiences built on a foundation of trust, service, and security. We leverage advanced technologies and data-driven insights to stay ahead of an evolving threat landscape. We foster a culture of passion, curiosity, and courage-empowering you to innovate, grow, and help shape the future of a Fortune 100 company.

Trust. Service. Security.

The Data Security team is responsible for safeguarding the organization's most critical asset-its data-by ensuring confidentiality, integrity, and availability across all platforms and environments.  Working at the intersection of cybersecurity, data governance, and privacy, the Data Security team focuses on capabilities such as data classification, encryption, secure data access, and monitoring. The team partners closely with engineering, risk, and business units to embed security controls throughout the data lifecycle-from creation and storage to sharing and archival.

We are seeking an experienced Senior Security Automation Engineer to design, build, and enhance our next-generation Data Access management (DAM) program spanning traditional, cloud-native, and emerging database technoloy

  • Bachelor's degree in Computer Science, Artificial Intelligence, Information Security, Data Science, Engineering, or related technical field. 

  • 7+ years of software engineering in database security or related technical fields. 

  • 3+ years of experience with GenAI, LLMs, and agentic workflows 

  • Strong programming skills in Python, Java, NoSQL, REST API, Springboot. 

  • Experience building AI agents using frameworks such as LangGraph, LangChain or equivalent. 

  • Experience with Model Context Protocol (MCP) for tool integration and A2A for agent-to-agent collaboration 

  • Exposure to implementing Agentless Database activity monitoring.  

  • Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases. 

  • Strong understanding of anomaly detection, classification, and clustering. 

  • Hands-on experience implementing data security controls in AWS and GCP  

  • Experience working with large scale log, telemetry, and security datasets. 

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

  • Expand Database activity management and access management coverage to newly introduced databases and cloud data services. 
  • Design and implement custom database activity and access management solutions for relational, NoSQL, cloud-native, and emerging database platforms. 

  • Develop scalable pipelines to ingest, normalize, correlate, and analyze database audit logs, cloud-native logs, and security telemetry. 

  • Partner with security operations, database engineering, cloud engineering, and application teams to implement Database activity management at scale. 

  • Continuously evaluate emerging AI, database, and cloud technologies to improve access management capabilities. 

  • Integrate DSPM platforms to enrich Access management and monitoring with data classification, sensitivity labels, ownership metadata, and business context. 

  • Serve as the technical Subject Matter Expert (SME) for strategic initiatives and provide end-to-end ownership from requirements through production deployment. 

  • Build AI agent-based automation to correlate events across multiple security data sources and investigate anomalous database activity, unauthorized access detection. 

  • Build AI agent-based workflows to simplify Database Access attestation processes. 

  • Develop risk-scoring models that combine user behavior, data sensitivity, privilege level, access patterns and threat intelligence. 

  • Build automation workflows that reduce manual investigations and improve response times. 

  • Design dashboards and executive reporting for monitoring coverage, risk posture, and program maturity. 


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