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Ai Labeling Jobs in Arizona (NOW HIRING)

Fox

Senior Media Platform Engineer

Tempe, AZ · On-site

Partner with AI/ML stakeholders to evaluate model options (build vs buy vs fine-tune), including ... Contribute to model lifecycle practices such as dataset/labeling requirements, evaluation ...

Fluidstack

Lab Technician, Fluidstack Labs

Glendale, AZ · On-site

$152K - $178K/yr

Powerful AI will be the biggest lever for human choice we've ever built - but only if models are ... Asset records, labels, and documentation are habits for you: what's on the floor always matches ...

Acara Solutions

Shipping Clerk

Scottsdale, AZ

$19/hr

Create shipping labels using DHL, FedEx, UPS, USPS * Coordinate collection of freight shipments ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

Accenture

Payments Banking Consultant

Scottsdale, AZ · On-site

Underpinned by technology, data, analytics, AI, change management, talent, and sustainability ... Private label, Credit, Online Debit, Offline Debit, Prepaid, ATM, Acquirer/Issuer * Retail: P2P ...

New

Arrivia

Fabric Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

At arrivia , we are committed to AI-driven innovation, and you will work alongside the latest AI ... Champion governance through sensitivity labels, role-based access controls, and cataloging in ...

Arrivia

Fabric Data Engineer

Scottsdale, AZ · Hybrid

$115K - $138K/yr

At arrivia , we are committed to AI-driven innovation, and you will work alongside the latest AI ... Champion governance through sensitivity labels, role-based access controls, and cataloging in ...

Judge Group, Inc.

Software Engineer

Phoenix, AZ · On-site

$53 - $57/hr

... label generation, scanning, printing, and processing. This team manages more than 10 enterprise ... Familiarity with AI technologies and emerging AI-driven application solutions. * Experience with ...

Introl

Data Center Deployment Lead I

Phoenix, AZ · On-site

$80K - $87K/yr

... of AI and high-performance computing. Responsibilities Lead a small team of technicians (DCT I-V ... labeling, terminations -- and correct mistakes in the field immediately Ensure all team members ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

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.

American Express

Senior Database Security Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

... AI, database, and cloud technologies to improve access management capabilities. * Integrate DSPM platforms to enrich Access management and monitoring with data classification, sensitivity labels ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ

$130K - $177K/yr

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.

Caris Life Sciences

Research Associate II

Tempe, AZ · On-site

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 ...

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How much do ai labeling jobs pay per hour?

As of Aug 13, 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 job categories do people searching Ai Labeling jobs in Arizona look for? The top searched job categories for Ai Labeling jobs in Arizona are:
What cities in Arizona are hiring for Ai Labeling jobs? Cities in Arizona with the most Ai Labeling job openings:
Ai Labeling jobs near you
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 Media Platform Engineer

FOX News Network, LLC

Tempe, AZ • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Fox News rating

7.3

Company rating: 7.3 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

41st of 76 rated media

Job description

OVERVIEW OF THE COMPANY
Fox Corporation
Under the FOX banner, we produce and distribute content through some of the world's leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.
JOB DESCRIPTION
Fox Corporation, under the FOX banner, produces and distributes content through some of the world's leading and most valued brands, including: FOX News, FOX Sports, the Fox Network, and the FOX Television Stations. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.
ABOUT THE ROLE
Our Senior Media Platform Engineer role will build and operate the workflow orchestration and integration layer that powers FOX's internal software-defined media services and AI-enabled workflows. This position focuses on developing the "glue" between platforms-workflow engines, microservices, APIs, data stores, and observability-so FOX can reliably deploy, scale, and support AI-assisted media capabilities across production and distribution environments.
This role works closely with multiple engineering teams and operational stakeholders to translate user needs into repeatable, governed workflows (POC → pilot → production) using modern software engineering practices and cloud-native delivery patterns. You will help FOX standardize how workflows are defined, validated, released, and monitored-especially for high-value AI use cases such as transcription, dubbing, highlights, video/audio analysis, and generative media services.
ABOUT YOU
  • You are excited by new technology and its potential to change how things are done
  • You LOVE getting stuff done, not just talking about it!
  • You take ownership in your products and their success in the company
  • You enjoy building systems that other teams depend on, and you care about reliability and maintainability
  • You can translate ambiguous user needs into clear software requirements, APIs, and deliverable milestones
  • You value automation, testing, and observability as first-class parts of engineering
  • You like working across teams to evaluate options and deliver the best solution-not just "a" solution

A SNAPSHOT OF YOUR RESPONSIBILITIES
Workflow Orchestration & Platform Services
  • Design and implement workflow orchestration for media and AI pipelines (job definitions, routing rules, scheduling constraints, approvals, retries, and error handling)
  • Build and maintain platform services that standardize how workflows are executed and governed across environments (dev/test/prod)
  • Develop reusable workflow templates, SDKs, and integration patterns that accelerate delivery and reduce one-off implementations
  • Implement policy and guardrails for workload isolation (e.g., real-time vs batch vs experimental) in partnership with platform/SRE teams

AI Model Selection, Training & Lifecycle Enablement
  • Partner with AI/ML stakeholders to evaluate model options (build vs buy vs fine-tune), including selection criteria such as quality, latency, cost, and operational complexity
  • Support model implementation into production workflows, including packaging, versioning, deployment patterns, rollback strategies, and reproducibility
  • Contribute to model lifecycle practices such as dataset/labeling requirements, evaluation/benchmarking metrics, A/B testing approaches, and periodic model refresh processes
  • Help operationalize model governance: traceability of model versions, model performance monitoring in production, and release notes tied to workflow versions

Quality Gates, Validation & Operational Readiness
  • Implement workflow-level validation and acceptance checks (input validation, output verification, automated quality gates) to ensure reliable, repeatable outcomes
  • Define "production-ready" criteria for workflows (telemetry, error handling, documentation, runbooks, support handoffs) and enforce them through automation
  • Partner with operations and reliability teams to ensure workflows can be supported in a 24/7 environment, with clear escalation paths and on-call expectations where appropriate

Software Development, CI/CD & Observability
  • Build production-grade services with strong engineering discipline: code reviews, automated testing, secure coding practices, and documentation
  • Implement and improve CI/CD pipelines for workflow services (build, test, deploy, promote, rollback) in partnership with platform teams
  • Ensure services are observable and supportable (structured logs, metrics, tracing, dashboards, and operational runbooks)
  • Perform root cause analysis and automate repetitive operational tasks to reduce toil and improve reliability

Collaboration & Client Outcomes (Internal + External)
  • Work across engineering teams and stakeholders (Broadcast, Video, Monitoring & Control, Networking, Media Infrastructure) to define requirements, evaluate alternatives, and deliver the best solution for FOX workflows
  • Translate user and operator requirements into clear user stories and acceptance criteria ("As a user, I need...")
  • Support internal clients (MCR/operations, production engineering, distribution teams) and, when applicable, improve FOX's ability to support external partners through better reliability, visibility, automation, and repeatable delivery patterns

WHAT YOU WILL NEED
  • 5+ years professional software engineering experience building and operating production services (APIs, microservices, distributed systems)
  • Strong experience with cloud-native development practices: containers, service orchestration concepts, and CI/CD delivery
  • Solid programming ability in one or more common backend languages (e.g., Python, Go, Java, TypeScript) and comfort building RESTful APIs and integrations
  • Experience integrating with data systems (SQL/NoSQL), message/event systems, and modern authentication/authorization patterns
  • Experience evaluating and integrating practical AI/ML capabilities into production systems, including automation, intelligent monitoring, workflow optimization, or developer tooling
  • Strong troubleshooting mindset: ability to debug production issues and implement durable fixes
  • Strong communication skills and comfort working cross-functionally with technical and non-technical stakeholders

NICE TO HAVE, BUT NOT A DEAL BREAKER
  • Experience with workflow orchestration tools or event-driven architectures
  • Familiarity with observability tooling and SRE-style operational practices (SLIs/SLOs, alerting, postmortems)
  • Understanding of modern AI technologies such as LLM APIs, vector databases, and inference services, with the ability to apply them pragmatically in scalable, reliable environments
  • Experience integrating AI/ML inference services, MLOps patterns, or contributing to model evaluation/fine-tuning workflows
  • Familiarity with Kubernetes/OpenShift operations and infrastructure-as-code concepts
  • Exposure to live media/broadcast concepts (helpful, but not required-we can teach)
  • Bachelor's Degree or equivalent practical experience in Engineering, IT, Computer Science or related technical field

#Ll-CC1
#DTC
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $143,000.00-173,000.00 annually. This role is also eligible for various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.
View more detail about FOX Benefits.

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