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Ai Voice Collection Jobs (NOW HIRING)

Our field data collection teams are spread across Europe and North America, ready to accept new ... Your role will help improve voice-command functionality and user experience for future in-car ...

Our field data collection teams are spread across Europe and North America, ready to accept new ... Your role will help improve voice-command functionality and user experience for future in-car ...

... voice interactions for next-generation AI assistants. We are seeking native Turkish (Turkey ... Follow established quality standards to ensure consistent and reliable data collection. Required ...

... voice interactions for next-generation AI assistants. We are seeking native Spanish (Spain ... Follow established quality standards to ensure reliable and consistent data collection. Required ...

Strategic Projects Lead -- Audio Data

$53 - $71.75/hr

Besimple AI is building the data and benchmark infrastructure for the next generation of voice AI ... Responsibilities : โ€ข Own audio data collection and annotation projects from kickoff through final ...

Use voice commands to compose emails, messages, notes, and other everyday content. * Direct the AI ... Follow project guidelines to ensure consistent, high-quality data collection. Required ...

... 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 ...

... of AI-powered voice assistants in collaboration with a leading AI research organization. This ... Follow project guidelines to ensure consistent, high-quality data collection. Required ...

Operations Manager

Manhattan, NY ยท On-site

$45 - $50/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

... 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 ...

Senior Scientist

Thousand Oaks, CA ยท On-site

$45 - $48/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

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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.

Engineering Manager - Security Engineering

Seattle, WA โ€ข Remote

Full-time

Re-posted 18 days ago


Key responsibilities

  • Lead and grow the Security Engineering team, setting technical direction and partnering with cross-functional teams to embed security practices.

  • Own the security aspects of product development, including threat modeling, security reviews, vulnerability management, and overseeing penetration testing.

  • Define and maintain the security architecture of cloud infrastructure, manage security observability, and lead infrastructure hardening and security posture initiatives.


Job description

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.

Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.

Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.

At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.

How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here.

We are looking for a seasoned Engineering Manager to lead Aircall's Security Engineering organisation. This is a high-impact leadership role spanning four pillars: Product Security, Infrastructure Security, Detection & Response, and Governance, Risk & Compliance (GRC). You will grow an established team of security engineers, set the technical direction, and partner closely with Engineering, Product, Legal, IT and Finance to embed security deeply across the company. You'll scale the team through high impact AI engineering across all 4 pillars.

You will be both a skilled people manager and a credible technical leader — someone who can roll up their sleeves when needed but who ultimately scales their impact through their team. You bring empathy, clear communication, and a bias for pragmatic security outcomes over security theatre.

Scope of Responsibility:
Product Security
  • Own the Secure Software Development Lifecycle (SSDLC) from threat modelling through to production deployment.
    Secure Agentic development practices by automating threat modeling, code reviews, internal pentesting and vulnerability remediation by building in-house security AI agents.
  • Partner with engineering to embed security reviews, static analysis (SAST), dependency scanning (SCA), and secrets detection into CI/CD pipelines.
  • Lead the Aircall Bug Bounty and Vulnerability Disclosure Program (VDP), triaging and remediating reports with engineering teams.
  • Drive regular penetration testing cycles for web, mobile, and API surfaces; oversee remediation tracking.
  • Champion a developer-centric security culture through security champions, training, and tooling that makes the secure path the easy path.

Infrastructure Security

  • Define and maintain the security architecture of Aircall's cloud infrastructure (AWS), with a strong emphasis on zero-trust, least privilege, and defence in depth.
  • Own, maintain and expand security observability through CSPM, CNAPP and CWPP tools like Wiz.
  • Enable agentic auto-remediations for security vulnerabilities.
  • Own network segmentation, secrets management, certificate lifecycle, identity & access management (IAM), and workload isolation, and secure hosting of internal AI applications
  • Lead infrastructure hardening programs: CIS benchmarks, container security, Kubernetes policy enforcement (OPA), and immutable infrastructure practices.
  • Manage the security posture of third-party SaaS tools and vendor risk assessments.
  • Collaborate with Infrastructure engineering and Product Engineering on shared security responsibilities and runbooks.

Detection & Response

  • Build and mature Aircall's threat detection capability — SIEM tuning, alert triage playbooks, and investigation workflows.
    Own incident response: develop and test the IR plan, lead tabletop exercises, and act as incident commander for significant security events.
  • Drive threat intelligence and threat hunting programs to stay ahead of adversaries targeting the cloud communications sector.
  • Establish and track key security metrics: MTTD, MTTR, alert-to-incident conversion rates, and coverage gaps.
  • Ensure 24×7 detection coverage through tooling, automation, and on-call rotations, balancing reliability and engineer wellbeing.
Governance, Risk & Compliance (GRC / Information Security)
  • Own and continuously improve Aircall's information security management program, aligned to SOC 2 Type II, and applicable data-protection regulations (GDPR, CCPA).
  • Lead audit preparation and evidence collection for external certifications and customer security questionnaires.
  • Maintain the corporate risk register for information security, presenting findings and remediation plans to senior leadership and the board as required.
  • Define and enforce security policies, standards, and exception processes across the organisation.
  • Act as the primary security liaison for enterprise customers, prospects, and partners conducting security due diligence.

People Leadership

  • Lead, mentor, and grow a multi-disciplinary security team of 6–10 engineers across the four pillars.
  • Run structured 1:1s, career-development conversations, and quarterly goal-setting aligned to company OKRs.
  • Hire and onboard exceptional security talent; contribute to employer-branding initiatives in the security community.
  • Create an environment where engineers feel psychologically safe to raise concerns, experiment, and learn from failures.
  • Balance hands-on technical involvement with delegation — staying close enough to the work to be credible, but trusting the team to execute.
  • Partner cross-functionally with Engineering leadership, Legal, People Ops, and Finance to align security initiatives with business priorities.
What We're Looking For:
  • 7+ years of professional experience in security engineering.
  • 3+ years in an engineering management or technical lead role with direct reports.
  • Proven track record of building and scaling security teams in a cloud-native, SaaS environment.
  • Deep technical fluency across at least two of the four pillars (Product Security, Infrastructure Security, D&R, GRC).
  • Hands-on experience with major cloud platforms (AWS strongly preferred, GCP or Azure a plus) and infrastructure-as-code (Terraform, CDK, or equivalent).
  • Experience owning or contributing to SOC 2 Type II, ISO 27001, or equivalent compliance programmes.
  • Demonstrated ability to communicate security risk clearly to non-technical executives and board members.
  • Experience running security incident response — from detection through containment, eradication, and post-mortem.
Preferred / Nice to Have:
  • Background in a high-growth B2B SaaS or cloud-communications company.
  • Familiarity with VoIP, real-time communications, or telephony security considerations.
  • Experience embedding Agentic AI practices into security engineering workflows and securing internal AI tooling and implementation.
  • Relevant certifications: CISSP, CISM, AWS Security Specialty, GIAC (GWAPT, GCIA, GCIH), or equivalent.
  • Experience running a Bug Bounty programme (HackerOne, Bugcrowd, or similar).
  • Contributions to the open-source security community, conference speaking, or published research.
  • Familiarity with DORA metrics and the relationship between deployment frequency and security posture.
Base salary range:
$200,000—$260,000 USD

Why join us?

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????‍♀️ Our people matter, work-life balance is important at Aircall

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DE&I Statement: 

At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey. 

We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.  

We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.

Want to know more about candidate privacy? Find our Candidate Privacy Notice here.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.