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What is an AI Speech specialist?

An AI Speech Specialist is a professional who works with technologies that enable computers to understand, process, and generate human speech. This role often involves developing, training, and improving speech recognition and synthesis systems using artificial intelligence and machine learning techniques. AI Speech Specialists collaborate with linguists, data scientists, and engineers to enhance voice assistants, transcription services, and other speech-driven applications. Their work helps make voice interfaces more accurate, natural, and accessible to users worldwide.

What are the key skills and qualifications needed to thrive as an AI Speech engineer, and why are they important?

To thrive as an AI Speech Engineer, you need a strong background in computer science, machine learning, and signal processing, typically supported by a relevant degree. Familiarity with tools and frameworks such as TensorFlow, PyTorch, Kaldi, and experience with speech recognition APIs or natural language processing libraries is essential. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in collaborative, innovative environments. These skills ensure the development of accurate, reliable, and user-friendly speech technologies that meet real-world needs.

What are some typical challenges faced by professionals working in AI Speech roles, and how can they be addressed?

Professionals in AI Speech roles often encounter challenges such as handling diverse accents and dialects, background noise interference, and the need for real-time processing. Addressing these challenges typically involves continuous data collection, model training, and collaboration with linguists and software engineers to fine-tune algorithms. Staying updated with the latest research and leveraging large, high-quality datasets can significantly improve system accuracy and user experience.

What is the difference between Ai Speech vs Speech-Language Pathologist?

AspectAi SpeechSpeech-Language Pathologist
Required CredentialsTypically no formal certification; may have specialized training in AI and speech techMaster's degree in Speech-Language Pathology and state licensure
Work EnvironmentTech companies, AI development labs, software platformsHospitals, clinics, schools, private practices
Industry UsageDeveloping speech recognition and synthesis tools using AIDiagnosing and treating speech and language disorders
Common Search/ComparisonAI speech vs speech-language pathologist

Ai Speech professionals focus on creating and improving speech recognition and synthesis technologies using AI, often working in tech environments. Speech-Language Pathologists diagnose and treat speech disorders in clinical settings. While both work with speech, Ai Speech is tech-centric, whereas Speech-Language Pathologists are healthcare providers.

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Ai Speech jobs near you
Infographic showing various Ai Speech job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution.

Product Manager (AI Speech)

Artificial Analysis

San Francisco, CA • On-site

Full-time

Posted 10 days ago

Job description

Job Description - Product Manager (AI Speech)
Location: San Francisco (on-site at our offices)
About Artificial Analysis
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don't just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D'Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
The Opportunity
Speech is becoming AI's next interface: text to speech, speech to text, voice cloning and real-time voice agents are moving from demos into infrastructure, and our speech benchmarks are how the industry tracks who is winning. We're hiring into our speech pillar to drive that coverage.
You'll build and extend our speech evaluations and arenas, from streaming speech to text and voice cloning to next-generation speech-to-speech intelligence with benchmarks like AgentTalk, and work at a deep technical level with the leading speech AI companies to benchmark their latest models as they launch.
What You'll Do
• Benchmark the Speech Frontier: Own coverage across text to speech, speech to text and speech to speech, benchmarking new models and providers as they launch
• Design Speech Evaluations: Build and extend the evaluation frameworks, prompt libraries and arenas that reflect how developers and creators actually use speech models, including agentic voice through AgentTalk
• Partner with Speech Leaders: Work with the top speech AI companies in the world at a deep technical level to benchmark their models and shape how the industry measures voice
• Publish Influential Analysis: Produce the leaderboards, reports and analysis that shape how the industry understands speech AI progress
• Drive Product Direction: Shape the roadmap of our speech benchmarking platform together with our engineers and pillar lead
• Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking
What We're Looking For
You should know speech AI from the inside.
Backgrounds include: product, research or engineering roles at speech AI companies (e.g. ElevenLabs, Cartesia, Inworld, Sesame, Deepgram, AssemblyAI, Rime or similar), voice teams at larger platforms (e.g. OpenAI, Google, Microsoft), or teams building products on text to speech, speech to text or real-time voice.
Required:
• 3+ years of professional experience, including at least 1 year working hands-on with speech AI
• Strong analytical and critical thinking skills
• Proficiency in Python and data analysis
• Hands-on familiarity with modern speech models and their evaluation: quality assessment, word error rate and latency measurement, and preference testing
• Genuine, demonstrable interest and knowledge of Frontier AI. We want people who have informed opinions about where AI is heading, not just people who use AI tools
Why Artificial Analysis?
• Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.
• Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.
• Work with the most important players in AI: You'll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.
• Join at a defining moment: We're 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.
• Competitive compensation including equity
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