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Audio Ai In Remote Jobs (NOW HIRING)

Reality Defender

Audio ML Engineer II

New York, NY · Remote

$160K - $210K/yr

... governments in order to ensure AI-generated media is not used for malicious purposes. Youtube ... Remote Fridays * Happy Hours and other local events Compensation Range: $160K - $210K

Trilyon, Inc.

AI Architect - Remote

Boise, ID · Remote

AI Solutions Developer Location: Boise, ID (Remote) Duration: 12+ Months Contract We are looking ... of audio recordings with automated data storage in defined Microsoft Dynamics fields. This is a ...

Magellan AI

Measurement Growth Director

New York, NY · On-site +1

$70K - $110K/yr

Who we are Magellan AI is the all-in-one platform for audio advertising intelligence, media ... Remote-first work environment * Opportunities to work closely with a small, experienced team ...

Magellan AI

Measurement Growth Director

New York, NY · Remote

$70K - $110K/yr

Who we are Magellan AI is the all-in-one platform for audio advertising intelligence, media ... Remote-first work environment * Opportunities to work closely with a small, experienced team ...

Perle AI

Expert Audio Transcriber, Hebrew (US, Canada, EU)

$20.50 - $26.50/hr

The work powers speech recognition, dialogue, and evaluation systems for major AI labs. Audio ranges from clean studio recordings to natural conversational speech in real-world acoustic conditions.

QSIC

VP Legal

VP, Legal Remote - United States Legal / Full-time About QSIC QSIC is an Audio + AI company redefining what in-store means for retailers and brands worldwide. We use intelligent audio to drive real ...

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Audio Ai In Remote information

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$84.5K

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How much do audio ai in remote jobs pay per year?

As of Jun 25, 2026, the average yearly pay for audio ai in remote in the United States is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $113,000.00 per year, depending on experience, location, and employer.

What is an Audio AI Engineer in a remote role?

An Audio AI Engineer working remotely specializes in developing, testing, and implementing artificial intelligence models and algorithms focused on processing and understanding audio data. This can include tasks like speech recognition, music analysis, sound classification, and other audio-related AI applications. Remote Audio AI Engineers collaborate with teams using digital tools, allowing them to contribute from anywhere in the world. They typically have expertise in signal processing, machine learning, and programming languages such as Python. Their work is crucial in industries like virtual assistants, audio editing software, and accessibility technologies.

How does an Audio AI Engineer working remotely typically collaborate with cross-functional teams?

Remote Audio AI Engineers often work closely with product managers, data scientists, and software developers through virtual meetings and collaborative platforms. Regular communication via video calls and project management tools helps ensure alignment on project goals, data requirements, and integration milestones. Sharing code repositories and audio datasets securely online is a common practice, and effective documentation is essential for seamless teamwork. Adapting to asynchronous communication and proactively addressing potential misunderstandings are key to successful remote collaboration in this role.

What is the difference between Audio Ai In Remote vs Audio Transcription Specialist?

AspectAudio Ai In RemoteAudio Transcription Specialist
Required CredentialsBasic technical knowledge, familiarity with AI toolsTyping skills, language proficiency, sometimes certification
Work EnvironmentRemote, using AI software and toolsRemote or on-site, focused on manual transcription
Employer & Industry UsageTech companies, AI startups, transcription servicesMedia, legal, medical, and general transcription services
Search & Comparison IntentUnderstanding AI-powered remote rolesManual transcription roles, traditional jobs

Audio Ai In Remote involves working with AI-driven tools to process and analyze audio data remotely, often requiring basic technical skills. In contrast, Audio Transcription Specialists manually transcribe audio recordings, emphasizing typing speed and language skills. Both roles are remote-friendly but differ in technical complexity and industry focus.

What are the key skills and qualifications needed to thrive as an Audio AI Engineer in a remote environment, and why are they important?

To excel as an Audio AI Engineer remotely, you need strong expertise in digital signal processing, machine learning, and programming languages like Python or C++, often supported by a degree in computer science or engineering. Familiarity with frameworks such as TensorFlow or PyTorch, audio processing libraries, and cloud-based collaboration tools is typically required. Exceptional communication, self-motivation, and time management are crucial soft skills for effective remote teamwork and project delivery. These skills ensure you can develop innovative audio AI solutions while maintaining productivity and collaboration in a distributed work setting.

Civil Engineering Technologist and Technician

Weekday AI

Remote

$59 - $114/hr

Part-time

Posted 5 days ago

Job description

This role is for one of our clients
Job Title: Civil Engineering Technologist and Technician
Job Type: AI Model Training, Civil Design
Location: Remote
Compensation: $59 - $114/hour-pay
As a Civil Engineering Technologist and Technician, leveraging your expertise in civil design and technology to help train advanced AI models. You will play a pivotal role in shaping the future of infrastructure solutions by transforming your industry knowledge into actionable data, empowering next-generation AI technologies.
Requirements
Key Responsibilities
  1. Utilize your civil engineering design and technical skills to annotate, review, and validate AI training data.
  2. Collaborate with AI specialists to identify and communicate key civil engineering concepts needed for model development.
  3. Translate complex civil engineering problems and processes into structured data sets for algorithmic use.
  4. Provide expertise on civil drafting, design methodologies, and construction documentation for AI learning.
  5. Review and edit technical materials to ensure clarity, accuracy, and relevance for AI training.
  6. Communicate findings and feedback clearly in both written reports and virtual meetings.
  7. Stay current with industry trends to enhance the effectiveness and relevance of AI model training.

Required Skills and Qualifications
  1. Diploma or degree in Civil Engineering Technology or related discipline.
  2. Proven experience in civil design, drafting, or construction documentation.
  3. Excellent written and verbal communication skills, with a keen attention to detail.
  4. Proficient with industry-standard CAD and civil design software.
  5. Ability to distill complex engineering concepts into clear, accessible information.
  6. Strong organizational and self-management skills, especially in a remote setting.
  7. Commitment to accuracy and high-quality data output.

Preferred Qualifications
  1. Experience collaborating with cross-functional or technical teams.
  2. Familiarity with AI, machine learning, or data annotation projects.
  3. Previous work in remote roles or tech-driven environments.

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