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Full Time Audio Preservation Jobs (NOW HIRING)

Art Preparator I

Norfolk, VA · On-site

$21 - $24.04/hr

Non-Exempt/Hourly Position Type: Full-time Supervisor duties: None Reports to: Chief Registrar Date ... Provides technical support for all exhibitions (e.g. setting up and managing audio-visual equipment ...

Job Type Full-time Description Are you passionate about video, hunting, shooting, and the outdoors ... Operate professional cameras, lenses, lighting, microphones, audio equipment, teleprompters, and ...

Uare.ai creates AI-driven personal digital twins, enabling users to preserve, share, and interact ... Familiarity with voice cloning, speech synthesis, or related audio ML workflows is a plus.

Uare.ai creates AI-driven personal digital twins, enabling users to preserve, share, and interact ... Familiarity with voice cloning, speech synthesis, or related audio ML workflows is a plus.

Preserve the integrity of the News product by maintaining respectful collaboration between Sales ... Apply Now Employment Type: Full Time

Preserve the integrity of the News product by maintaining respectful collaboration between Sales ... Apply Now Employment Type: Full Time

Showing results 21-40

Full Time Audio Preservation information

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$15

$29

$48

How much do full time audio preservation jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for full time audio preservation in the United States is $29.59, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $35.58 per hour, depending on experience, location, and employer.

What is the difference between Full Time Audio Preservation vs Audio Archivist?

AspectFull Time Audio PreservationAudio Archivist
CredentialsOften requires audio engineering or preservation certificationsTypically requires archival or library science credentials
Work EnvironmentPreservation labs, recording studios, archivesLibraries, archives, museums
Industry UsageMedia companies, archives, museumsLibraries, cultural institutions, archives
Primary FocusRestoring, digitizing, and preserving audio recordingsManaging and cataloging audio collections, ensuring long-term access

While both roles involve working with audio collections, Full Time Audio Preservation focuses on technical restoration and digitization, whereas an Audio Archivist emphasizes managing and curating audio archives for long-term access and research.

More about Full Time Audio Preservation jobs

What cities are hiring for Full Time Audio Preservation jobs?

Cities with the most Full Time Audio Preservation job openings:

What are the most commonly searched types of Audio Preservation jobs?

The most popular types of Audio Preservation jobs are:

What states have the most Full Time Audio Preservation jobs?

States with the most job openings for Full Time Audio Preservation jobs include:

Infographic showing various Full Time Audio Preservation job openings in the United States as of August 2026, with employment types broken down into 69% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $61,552 per year, or $29.6 per hour.

Agent Engineer San Francisco CA

AHU Technologies Inc

Washington, DC • On-site

$160K - $200K/yr

Full-time

Re-posted 17 days ago


Key responsibilities

  • Build and maintain agent runtimes supporting planning, tool usage, memory, retrieval, context management, and workflow execution

  • Orchestrate multiple AI models and providers across various generation workflows

  • Design routing, retry mechanisms, fallbacks, latency optimization, cost controls, and failure recovery systems


Job description

Position: Agent Engineer
Visa Status: US Citizens and Green Card Holders (Only)
Location: San Francisco, CA (On-site)
Employment Type: Full-Time
Experience Required: 10+ Years

About the Role
We are seeking an experienced Agent Engineer to build and scale the agent and workflow layer behind a cloud-based creative platform. The ideal candidate has experience shipping production AI or backend systems, understands agent runtime behavior, and can design reliable model orchestration beyond basic prompt-based applications.
This role focuses on developing intelligent workflow systems that integrate multiple AI models, tools, and services across image, video, audio, text, and other creative workflows.
Key Responsibilities
  • Build and maintain agent runtimes supporting planning, tool usage, memory, retrieval, context management, and workflow execution.
  • Orchestrate multiple AI models and providers across various generation workflows.
  • Design routing, retry mechanisms, fallbacks, latency optimization, cost controls, and failure recovery systems.
  • Develop workflow memory systems that preserve project context, assets, templates, style preferences, and previous outputs.
  • Implement evaluation frameworks, regression testing, benchmarking, human review workflows, and quality metrics.
  • Improve production reliability through queue management, monitoring, cancellation handling, progress tracking, and graceful recovery mechanisms.
  • Collaborate with cross-functional teams to deliver scalable and user-friendly AI workflow solutions.
Required Qualifications
  • 3+ years of experience building and shipping AI, agent-based, backend, infrastructure, or production software systems.
  • Strong proficiency in Python and/or TypeScript.
  • Experience with backend development, databases, queues, observability, and production reliability practices.
  • Hands-on experience with agent architectures, including planning, tool use, memory, retrieval, context management, and workflow execution.
  • Experience orchestrating multiple AI models and providers, including routing, retries, fallbacks, latency optimization, and cost management.
  • Experience building evaluation frameworks, regression testing systems, quality metrics, or A/B testing environments.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Ability to work on-site in San Francisco.
Preferred Qualifications

Creative AI Systems
  • Experience working with image, video, audio, TTS/STT, lipsync, upscaling, or related generative AI pipelines.
  • Experience maintaining reliable generation workflows at scale.
Workflow & Runtime Systems
  • Experience with workflow engines, node-based systems, visual programming environments, automation runtimes, or similar platforms.
  • Strong understanding of queues, state management, retries, and recovery mechanisms.
Quality & Evaluation
  • Experience designing AI evaluation systems, regression testing, human review workflows, and benchmarking frameworks.
  • Ability to measure and improve AI output quality in production environments.
What Success Looks Like
  • Building reliable agent workflows that scale efficiently in production.
  • Improving workflow quality, reliability, and user experience.
  • Delivering robust orchestration across multiple AI systems and providers.
  • Establishing strong evaluation and monitoring practices for AI behavior.