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Voice Research Task Jobs (NOW HIRING)

Maple AI, Inc

ML Research Engineer

New York, NY · On-site

$120K - $250K/yr

... voice. But our bigger mission goes deeper: we're building automated ontologies that model how ... Integrate AI components into autonomous agents capable of complex tasks like scheduling, order ...

Toast

Principal Product Manager, Voice AI

Champion field research & validation. Spend time in restaurants to learn operational workflows ... WER/CER, intent accuracy, wake-word false accept/reject, latency, completion/task success ...

Cresta

OR

$104.40K - $143.40K/yr

You will partner closely with applied researchers, product managers, designers, forward deployed ... Hands-on experience with ASR quality metrics such as WER and task-level evaluation methodologies.

STAHL

Market Research Support

Washington, DC

We do this by aligning the voice of our small business members with advocacy for change in federal ... Bachelor's degree in a field relevant to the PWS task requirements. o Note: Greater levels of ...

IANS

Research Interviewer

Boston, MA

... operational tasks. This is not a call center role. You will be having substantive technical ... voice. * Flag data quality issues: inconsistent responses, potential conflicts of interest ...

IANS

Research Interviewer

Boston, MA · On-site

... operational tasks. This is not a call center role. You will be having substantive technical ... voice. * Flag data quality issues: inconsistent responses, potential conflicts of interest ...

Cresta

Senior Machine Learning Engineer - Voice Experience

$125.40K - $165.30K/yr

You will partner closely with applied researchers, product managers, designers, forward deployed ... Hands-on experience with ASR quality metrics such as WER and task-level evaluation methodologies.

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How much do voice research task jobs pay per hour?

As of May 30, 2026, the average hourly pay for voice research task in the United States is $26.92, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $39.66 per hour, depending on experience, location, and employer.

What is a Voice Research Task job?

A Voice Research Task job involves recording speech samples, transcribing audio, or analyzing voice data to improve speech recognition systems, AI assistants, or linguistic models. Participants may be asked to read specific phrases, engage in conversations, or provide feedback on synthesized speech. These tasks help develop and refine voice-based technologies for better accuracy and inclusivity. No specialized skills are usually required, but clear speech and adherence to guidelines are essential.

What are the key skills and qualifications needed to thrive in the Voice Research Task position, and why are they important?

To excel in a Voice Research role, you need a background in linguistics, phonetics, audio engineering, or a related field, with experience in collecting and analyzing voice data. Familiarity with audio editing software (like Audacity or Adobe Audition), speech processing tools, and sometimes programming languages such as Python is often required. Strong attention to detail, analytical thinking, and effective communication are valuable soft skills in this position. These abilities are crucial for producing high-quality research outputs and collaborating across multidisciplinary teams in voice technology development.

What typical projects or tasks can I expect to work on in a Voice Research position?

In a Voice Research position, you may work on projects such as designing and conducting voice data collection studies, analyzing speech and audio samples, and developing or refining speech recognition systems. Responsibilities often include transcribing or annotating audio data, evaluating the performance of voice-driven technologies, and collaborating with engineers or linguists to improve product functionality. You'll likely be involved in troubleshooting research challenges and finding solutions to ensure data quality. The work environment is often collaborative, requiring ongoing coordination with cross-functional teams. This role offers exposure to the latest advancements in speech technology and opportunities for professional growth.
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Voice Research Task jobs near you

ML Research Engineer

Maple AI, Inc

New York, NY • On-site

$120K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Hi I'm Aidan, founder of Maple.
At Maple, we're building AI agents that work for local businesses: restaurants, salons, repair shops, and everything in between. These agents answer calls, take orders, book appointments, and handle real customer interactions over natural voice.
But our bigger mission goes deeper: we're building automated ontologies that model how businesses actually operate - their services, workflows, constraints, and language - so our agents can adapt to them instantly. We meet businesses where they are, not where software wants them to be.
We have many customers, strong revenue growth, years of runway, and backing from world-class investors. I'll share more once we meet.
About the Role
As an ML Research Engineer at Maple, you'll be a part of our core product team transforming cutting-edge research into production-ready voice agents, serving millions of interactions for local businesses. Collaborate with experts from Google Brain, Two Sigma, Stanford, MIT, Columbia, and IBM, rapidly deploying advanced models and systems that directly impact small businesses.
We work in person, 5 days a week in our NYC office. Collaboration here is fast, noisy (in the best way), and high-trust. We move quickly, break things intentionally, and fix them just as fast.
What You'll Do
  • Optimize speech recognition (ASR), large language models (LLMs), and text-to-speech (TTS) for real-world use, ensuring accuracy in diverse, noisy environments.
  • Fine-tune LLMs with retrieval-augmented generation (RAG), reinforcement learning (RL), and prompt engineering for dynamic, context-aware conversations.
  • Integrate AI components into autonomous agents capable of complex tasks like scheduling, order-taking, and issue resolution.
  • Create human-in-the-loop and automated systems to monitor performance, detect anomalies, and continuously improve models from real-world feedback.
  • Develop pipelines to construct knowledge graphs from business data, powering adaptive AI interactions.
  • Work with infrastructure teams to scale models efficiently across GPU/TPU clusters and edge devices, minimizing latency.
  • Manage rapid experimentation, training, and highly optimized production inference.
  • Lead evaluations, error analysis, and iterative improvements to maintain robustness and scalability.
  • Balance research innovation with practical usability by closely working with product and customer teams.
  • Publish research, contribute to open-source, and present at industry-leading conferences.

What We're Looking For
  • 3-7+ years deploying impactful ML models, ideally in voice, NLP, knowledge graphs, or agent systems.
  • Deep knowledge in speech recognition, language models, RL/dialogue systems, TTS, ontology systems, or agent orchestration.
  • Proficiency in PyTorch or JAX; optimization experience with CUDA/Triton preferred.
  • Proven ability to minimize latency and resource use on GPUs/TPUs or edge hardware.
  • Strong data-driven approach with measurable improvements.
  • Passion for creating intuitive, helpful, and frustration-free AI experiences.
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Mathematics, or equivalent practical expertise.

How we work
  • We optimize for leverage. That means great internal tooling, fast CI/CD, and code that scales across many customer types
  • We believe in deep ownership. Engineers here talk to users, design features, and ship fast
  • We value clarity over process. You'll spend most of your day building, not waiting on decisions
  • We move in person. We're a tight-knit team that moves fast and solves problems together

What we offer
  • Competitive salary + meaningful equity
  • A real product with real usage and growing revenue
  • Strong In-person culture, fast feedback loops, and zero bureaucracy
  • A small team that feels like a founding team
  • Full health, dental, vision, 401k, life insurance, and unlimited PTO
  • Tools budget, coffee budget, whatever-you-need-to-be-great budget

Want to help reimagine how software works for real-world businesses? Let's talk.

Apply