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Dubbing Engineer Jobs in Arizona (NOW HIRING)

ABOUT THE ROLE Our Senior Media Platform Engineer role will build and operate the workflow ... dubbing, highlights, video/audio analysis, and generative media services. ABOUT YOU * You are ...

Dubbing Engineer information

What are the key skills and qualifications needed to thrive as a Dubbing Engineer, and why are they important?

To excel as a Dubbing Engineer, you need expertise in audio engineering, familiarity with dialogue editing, and a solid understanding of post-production workflows, often supported by a relevant degree or certification. Proficiency with digital audio workstations (DAWs) such as Pro Tools, as well as knowledge of audio synchronization and noise reduction tools, is typical in this role. Attention to detail, strong communication, and the ability to collaborate with directors, voice actors, and translators are crucial soft skills. These competencies ensure high-quality, seamless audio production that meets creative and technical standards for localized media content.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, or aerospace engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often involves bonuses, stock options, or profit sharing, and typically requires advanced degrees and extensive industry experience.

What kind of jobs in media bring in $150,000 a year?

In media, high-paying roles such as senior dubbing engineers, sound directors, or audio post-production managers can earn $150,000 or more annually. These positions typically require extensive experience, specialized technical skills, and often involve overseeing large projects or teams in film, television, or gaming industries.

What is the difference between Dubbing Engineer vs Voice Over Artist?

AspectDubbing EngineerVoice Over Artist
CredentialsAudio engineering certifications, technical trainingVoice training, acting skills
Work EnvironmentRecording studios, post-production facilitiesRecording booths, studios, live events
Industry UsageFilm, TV, animation dubbingCommercials, narration, animation voices
Primary FocusTechnical audio editing, synchronizationPerforming and delivering voice recordings

While both roles involve audio work, a Dubbing Engineer focuses on technical aspects like editing and synchronization during dubbing, whereas a Voice Over Artist provides the voice performance. Understanding these differences helps clarify career paths and job expectations in the audio-visual industry.

What is a dubbing engineer?

A dubbing engineer is a professional responsible for recording, editing, and mixing audio for film, television, or video productions to replace or add dialogue in different languages or improve sound quality. They work with audio equipment, sound editors, and voice actors to ensure synchronized and high-quality sound output. Proficiency in audio editing software and understanding of acoustics are essential skills for this role.

What are some common challenges faced by Dubbing Engineers during post-production, and how can they be managed?

Dubbing Engineers often encounter challenges such as syncing dialogue precisely with on-screen lip movements, ensuring consistent audio quality across all scenes, and adapting to last-minute script changes. Managing these challenges requires strong attention to detail, advanced audio editing skills, and effective communication with voice talent and directors. Utilizing specialized software and maintaining organized project files can also streamline the workflow, helping Dubbing Engineers deliver high-quality audio tracks on tight deadlines.

What are Dubbing Engineers?

Dubbing Engineers are audio professionals responsible for recording, mixing, and synchronizing dialogue and sound effects with visual media, such as films, TV shows, and video games. They ensure that the re-recorded voices match the lip movements and timing of the original actors, often in different languages. Their work is crucial for creating seamless and immersive audio experiences in localized versions of media content. Dubbing Engineers use specialized software and equipment to achieve high-quality sound and maintain the integrity of the original production.

What engineers make $300,000 a year?

Dubbing engineers typically do not earn $300,000 annually; such high salaries are more common among senior software engineers, data scientists, or specialized technical roles in the tech industry. Achieving this level often requires extensive experience, advanced skills, and working in high-paying sectors or companies.
What are popular job titles related to Dubbing Engineer jobs in Arizona? For Dubbing Engineer jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Dubbing Engineer jobs? Cities in Arizona with the most Dubbing Engineer job openings:
Infographic showing various Dubbing Engineer job openings in Arizona as of July 2026, with employment types broken down into 7% As Needed, 21% Full Time, 2% Part Time, 44% Temporary, and 26% Nights. Highlights an 1% Physical, and 99% Hybrid job distribution.

Senior Media Platform Engineer

FOX News Network, LLC

Tempe, AZ • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago


Fox News rating

7.3

Company rating: 7.3 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

40th of 75 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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