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Ai Voice Collection Jobs (NOW HIRING)

Thomas Talent Network

AI Agent Engineer

New York, NY · On-site

$200K - $300K/yr

... debt collection -- a $35B US market. Its AI agents already outperform human collectors 2x at a ... About the Role Building its voice AI agent infrastructure in-house and needs an AI Agent Engineer ...

Aditi Consulting

Cyber Security Analyst

Moline, IL · On-site

$52/hr

... AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision ... For information about our collection, use, and disclosure of applicant's personal information as ...

New

SpaceXAI

Software Engineer - Voice Model

Palo Alto, CA · On-site

$150K - $450K/yr

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid ... Design and execute large-scale speech data curation and processing pipelines, including collection ...

SpaceXAI

Software Engineer - Voice Model

Palo Alto, CA · On-site

$150K - $450K/yr

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid ... Design and execute large-scale speech data curation and processing pipelines, including collection ...

Aditi Consulting

Sales Coordinator

Plano, TX · On-site

$28 - $28.70/hr

... AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision ... For information about our collection, use, and disclosure of applicant's personal information as ...

New

Aditi Consulting

Supply Management Planner

Moline, IL · On-site

$24.32/hr

... AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision ... For information about our collection, use, and disclosure of applicant's personal information as ...

New

Aditi Consulting

Agronomic Product Engineer

Johnston, IA · On-site +1

$43 - $47/hr

... AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision ... For information about our collection, use, and disclosure of applicant's personal information as ...

Pear

Backend Engineer - Known

San Francisco, CA · On-site

... collection, and support experimentation workflows. * Own infrastructure, deployment, and ... and AI voice agents. * Build payment and reservation integration workflows with idempotency ...

Aditi Consulting

Production Scheduler

Davenport, IA · On-site

$31.42/hr

... AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision ... For information about our collection, use, and disclosure of applicant's personal information as ...

Aditi Consulting

Production Scheduler

Davenport, IA · On-site

$31.42/hr

... AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision ... For information about our collection, use, and disclosure of applicant's personal information as ...

Aditi Consulting

Manufacturing Engineer

Waterloo, IA · On-site

$35.81 - $41.89/hr

... AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision ... For information about our collection, use, and disclosure of applicant's personal information as ...

NEURA Robotics

Voice Interaction Stack: You build and own the edge‑to‑cloud hybrid automatic speech ... data collection from real deployments, and build the evaluation infrastructure that turns ...

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Ai Voice Collection information

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How much do ai voice collection jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for ai voice collection in the United States is $19.12, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.15 per hour, depending on experience, location, and employer.

What is AI voice collection?

AI voice collection is the process of gathering and recording human voices to create datasets that train artificial intelligence models, such as speech recognition or voice synthesis systems. These datasets often include samples from diverse speakers, languages, and contexts to improve the accuracy and versatility of AI applications. AI voice collection can be used for virtual assistants, transcription services, and accessibility tools, among other uses. The collected data is anonymized and processed to protect privacy before being used in machine learning.

What does someone working in AI voice collection do?

Professionals in AI voice collection typically spend their day recording scripted prompts, ensuring clear enunciation, and following specific technical guidelines for audio quality. They may also annotate or label audio files, manage data privacy requirements, and collaborate with technical teams to troubleshoot recording issues. Attention to detail is crucial, as clean and diverse audio samples are essential for training accurate speech recognition models. Coordination with project managers and linguists is common to meet language, accent, and demographic targets.

What are the key skills and qualifications needed to thrive in AI voice collection?

To thrive in AI Voice Collection, strong verbal communication, attention to detail, and the ability to follow precise instructions are essential, often with a background in linguistics or audio recording being advantageous. Familiarity with recording software, high-quality microphones, and data management platforms is typically required. Reliability, adaptability, and professionalism help participants deliver consistent, high-quality voice samples. These skills ensure the accurate and effective collection of diverse voice data, which is critical for training robust AI speech models.

What is the difference between Ai Voice Collection vs Speech Data Annotator?

AspectAi Voice CollectionSpeech Data Annotator
Required CredentialsBasic technical skills, familiarity with voice dataAttention to detail, understanding of annotation tools
Work EnvironmentRemote or office-based, data collection sitesRemote, using annotation software
Industry UsageVoice AI development, speech recognitionTraining datasets for speech models
Common Search IntentCollecting voice data for AI trainingAnnotating speech data for AI models

Ai Voice Collection involves gathering voice recordings for AI training, often requiring data collection skills. Speech Data Annotator focuses on labeling and annotating speech data to improve AI models. Both roles are essential in voice AI development but differ in tasks and skills needed.

What other helpful pages are available for Ai Voice Collection?

Other pages related to Ai Voice Collection:

Infographic showing various Ai Voice Collection job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $39,779 per year, or $19.1 per hour.

AI Agent Engineer

New York, NY • On-site

Thomas Talent Network
Recruiting and Staffing Services • 1 - 10 employees
Learn more about Thomas Talent Networkexternal

$200K - $300K/yr

Full-time

Re-posted yesterday

Key responsibilities

  • Build and maintain the voice AI infrastructure using LiveKit and related systems.

  • Design and own the architecture of real-time voice-agent systems, including orchestration, state management, latency optimization, prompting, and reliability.

  • Own the end-to-end prompting strategy, including conversation flows, tone, compliance-safe phrasing, guardrails, and handling edge cases.

Job description

About the Company

A fast-growing, YC-backed seed-stage startup (founded 2024) using generative AI to automate debt collection — a $35B US market. Its AI agents already outperform human collectors 2x at a fraction of the cost, doing 10M+ calls per month. With a team of five, it scaled to a $2M annualized run rate in just a few months, targeting $10M ARR this year.

About the Role

Building its voice AI agent infrastructure in-house and needs an AI Agent Engineer to own it end-to-end. You'll build on top of LiveKit, design the orchestration layer, own the prompting strategy for millions of consumer interactions, and continuously improve voice-agent performance through rigorous testing and iteration. A highly technical role for someone equally comfortable building production-grade systems and writing the conversational AI logic that powers real-world outcomes. Deep voice-AI experience is ideal; a strong infrastructure engineer who is analytical and business-minded is also a fit.

What You'll Own
  • Build the voice AI infrastructure in LiveKit from the ground up
  • Design and own the architecture of real-time voice-agent systems: orchestration, state management, latency optimization, prompting, reliability
  • Own the end-to-end prompting strategy: conversation flows, tone, compliance-safe phrasing, guardrails, edge-case handling
  • Build and maintain testing/evaluation frameworks (A/B testing, regression testing, conversation QA, benchmarking, KPI reporting)
  • Write, expand, and continuously improve prompting to cover more real-world scenarios
  • Iterate on performance data and call outcomes to improve containment, conversion, liquidation rates, and satisfaction
  • Optimize ASR, STT, TTS, turn-taking, interruption handling, and state transitions
  • Build scalable systems/tooling for millions of voice interactions; migrate clients off legacy voice infra while preserving customizations
  • Work with product, operations, and leadership to translate business goals into high-performing agent behavior
Must-Have
  • 2+ years in voice AI, conversational AI, prompt engineering, speech systems, or related agentic workflows
  • 3+ years in platform, infrastructure, or backend engineering
  • Strong experience with Node.js, AWS, and SQL
  • Experience building and shipping production systems in a startup or similarly fast-paced environment
  • Experience with voice orchestration platforms or agent frameworks such as LiveKit or equivalent
  • Strong prompt-writing instincts; designs clear, effective, resilient conversational flows
  • Strong analytical skills; ties technical work directly to business outcomes and ROI
  • Excellent written and verbal English (required for the prompt-engineering component)
  • High ownership and strong work ethic
  • Based in or willing to relocate to NYC; in-person 4–5 days per week
Nice-to-Have
  • SIP trunking, telephony infrastructure, and production voice systems
  • Real-time audio pipelines, call routing, carrier/telephony integrations
  • Speech infrastructure in production environments
  • Domain knowledge in debt collection, financial services, or regulated consumer communication
Details

Employment: Full-Time  |  Location: Manhattan, NY — In-person (4–5 days/week)  |  Experience: 3–10 years
Compensation: $200,000–$300,000 / year + equity. No visa sponsorship.