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Speech Technology Jobs (NOW HIRING)

Apple

Sr. Software Engineer, Siri Speech

Cupertino, CA

$184K - $324K/yr

... this technology revolution. As a software engineer on the Siri speech team, you will be an ... important member of a diverse and passionate group of engineers and scientists dedicated to ...

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How much do speech technology jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for speech technology in the United States is $43.92, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $51.68 per hour, depending on experience, location, and employer.

What does a speech technology professional do?

In speech technology roles, professionals commonly work on projects such as developing and improving speech recognition systems, designing voice user interfaces, and implementing natural language processing solutions for products like virtual assistants or automated transcription tools. Day-to-day responsibilities often involve collaborating with software engineers, data scientists, and UX designers, as well as testing and optimizing algorithms using large voice datasets. You may also participate in troubleshooting, model evaluation, and refining features to meet client or product needs. This collaborative, innovative work environment offers an excellent opportunity to contribute to cutting-edge advancements in human-computer interaction.

What is a speech technology?

A Speech Technology job involves developing and improving systems that enable machines to process, recognize, and synthesize human speech. Professionals in this field work with technologies like automatic speech recognition (ASR), text-to-speech (TTS), and natural language processing (NLP) to enhance voice-based applications. They collaborate with engineers, linguists, and data scientists to create efficient and accurate speech-enabled systems for industries such as AI assistants, customer service automation, and accessibility solutions.

What are the key skills and qualifications needed to thrive in speech technology?

To excel in Speech Technology, a strong background in computer science, linguistics, and machine learning—often supported by a relevant degree—is essential. Familiarity with speech recognition frameworks, natural language processing (NLP) libraries, and programming languages like Python or C++ is typically required. Strong analytical thinking, teamwork, and clear communication skills help differentiate top professionals in this field. These abilities enable the development and refinement of advanced speech systems that work accurately and efficiently for end-users.

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What cities are hiring for Speech Technology jobs? Cities with the most Speech Technology job openings:
What are the most commonly searched types of Speech Technology jobs? The most popular types of Speech Technology jobs are:
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Speech Technology jobs near you
Infographic showing various Speech Technology job openings in the United States as of August 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% In-person job distribution, with an average salary of $91,346 per year, or $43.9 per hour.

Project Perseus | Speech & Voice AI Analyst - German Speakers

Welocalize

Burlingame, CA • On-site

Full-time

Re-posted 13 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

330th of 485 rated business services

Job description

Job Summary:
Welo Data is looking for detail-oriented individuals to join their team as Speech & Voice AI Analysts specializing in German language. The role focuses on executing high-volume data labeling and annotation tasks to support speech and voice AI systems, ensuring data accuracy and integrity.
Responsibilities:
• Execute high-volume data labeling and annotation tasks across speech and voice datasets
• Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
• Work with audio and language data, including transcription, categorization, and tagging
• Maintain strong throughput while meeting quality expectations
• Escalate unclear or ambiguous cases appropriately
• Adapt to evolving guidelines and workflows as systems and requirements change
• Support baseline data production needs for AI training pipelines
• Contribute to team calibrations and quality alignment sessions
Qualifications:
Required:
• Native-level fluency in German
• Strong written communication skills and language fundamentals
• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field
• Ability to follow detailed instructions and apply guidelines consistently
• High attention to detail and ability to maintain accuracy in repetitive tasks
• Comfort working in structured, process-driven environments
• Ability to manage time effectively and maintain steady output
• Willingness to ask questions and escalate when needed
• Must be authorized to work in the U.S. (no visa sponsorship)
Preferred:
• Basic familiarity with AI, speech technology, or language data is a plus
Company:
Welocalize provides translation supply chain management solutions that deliver market-ready, translated content. Founded in 1997, the company is headquartered in Frederick, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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