1

Voice Data Jobs in Arizona (NOW HIRING)

Senior Director

Tucson, AZ ยท On-site

$150 - $220/hr

Collaborate with internal and external cross-functional teams (Clinical Development, Regulatory, Market Access, and Outcomes Research) to embed patient voice data into clinical trials and non ...

Senior Director

Tucson, AZ ยท On-site

$180 - $240/hr

Collaborate with internal and external cross-functional teams (Clinical Development, Regulatory, Market Access, and Outcomes Research) to embed patient voice data into clinical trials and non ...

Largest Distributor of Wireless Voice, Data, and Video Solutions in North America * 40+ Years Industry-Leading Experience * Partnerships with Motorola, JVC Kenwood, Avigilon, Milestone, Axis, Hanwha ...

... Voice & Data, Testing & Certifying Loops To Support Data, Voice, and/or Video. * Practical knowledge/experience with computer applications including (but not limited to): Databases, Trouble/Repair ...

... Voice & Data, Testing & Certifying Loops To Support Data, Voice, and/or Video. * Practical knowledge/experience with computer applications including (but not limited to): Databases, Trouble/Repair ...

Showing results 21-40

Voice Data information

See Arizona salary details

$10

$21

$40

How much do voice data jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for voice data in Arizona is $21.10, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $22.64 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the voice data position, and why are they important?

To thrive in a Voice Data role, strong analytical skills, data management abilities, and familiarity with voice recognition technology are essential, often supported by a background in information technology or telecommunications. Experience with software such as speech analytics platforms, call recording systems, and database management tools is typically required. Attention to detail, problem-solving, and effective collaboration are valuable soft skills in this position. These competencies are crucial for accurately managing, interpreting, and optimizing voice data to inform business decisions and improve customer interactions.

How does voice data work?

Voice data work involves capturing spoken language through microphones, converting it into digital signals using speech recognition software, and then processing or analyzing the data for various applications. Voice data specialists often work with tools like automatic speech recognition (ASR) systems and may need skills in audio editing, data annotation, and machine learning models. Accurate transcription and data quality are essential for training effective voice recognition systems.

What is a voice data?

A Voice Data job involves working with spoken language data, often for speech recognition, transcription, or AI model training. Responsibilities may include analyzing, processing, and improving voice recordings or text transcriptions. Professionals in this field help enhance speech technologies used in virtual assistants, automated systems, and customer service applications. Skills in linguistics, audio processing, and data management are often required.

What does a voice data do?

Professionals in Voice Data roles are usually responsible for collecting, processing, and analyzing audio and speech-related data using specialized software and tools. A typical day might include evaluating voice recordings for quality assurance, identifying patterns in customer interactions, and reporting insights to improve operational efficiency or service quality. Collaboration with IT, customer support, and compliance teams is common, as voice data insights often impact multiple departments. Staying current with emerging speech analytics technology and privacy regulations is also an important aspect of the job, ensuring data is handled securely and ethically.

What are the most commonly searched types of Voice Data jobs in Arizona?

The most popular types of Voice Data jobs in Arizona are:

What job categories do people searching Voice Data jobs in Arizona look for?

The top searched job categories for Voice Data jobs in Arizona are:

Infographic showing various Voice Data job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $43,883 per year, or $21.1 per hour.

Senior Director

NCSL International

Tucson, AZ โ€ข On-site

$150 - $220/hr

Other

Posted 8 days ago


Job description

Title: Senior Director, Mixed Methods

Department: Prospective Studies

Status: Full-time, Exempt

Location: U.S. or U.K.

Company Overview

Clinical Outcomes Solutions (COS) is a global research consulting group providing 360ยฐ support and services across all facets of clinical outcomes research to assist with value-driven decisions for informing patient care. Our mission is to advance the science of patient outcomes through innovative solutions and deep partnerships with our clients. We are dedicated to transforming clinical outcome assessment (COA) research into a powerful tool for improving patient lives and creating value for our clients. With a passionate commitment to excellence, we strive to drive measurable impact on patient outcomes and make a meaningful difference in patients' lives worldwide.

Role Summary

The Senior Director leads the Prospective Studies Business Unit and serves as a senior mixed-methods Clinical Outcome Assessment (COA) scientist. This role provides strategic leadership for the design and execution of qualitative and quantitative measurement research, including outcome measure development, modification, psychometric validation, and regulatory-grade evidence generation. The Senior Director collaborates cross-functionally with Qualitative and Quantitative Science teams to develop innovative research strategies that support clinical development programs and deliver scientifically rigorous, patient-centered outcomes research.

Responsibilities
  • Lead or co-lead end-to-end development of de novo and fit-for-purpose COA instruments (PROs, ObsROs, ClinROs, and PerfOs) from concept to validation-ready tools.
  • Oversee qualitative research (concept elicitation, cognitive interviewing) and quantitative psychometric validation (reliability, validity, responsiveness, scoring).
  • Interact with the cross functional COS scientific and Evidence Synthesis teams on COA-specific regulatory interactions (FDA, EMA) regarding endpoint positioning, Context of Use (CoU), and labeling claims.
  • Collaborate with internal and external cross-functional teams (Clinical Development, Regulatory, Market Access, and Outcomes Research) to embed patient voice data into clinical trials and non-interventional studies.
  • Support the Prospective Studies and Research Operations teams at COS on non-interventional data collection efforts.
  • Serve as the internal Subject Matter Expert (SME) on measurement science, training clinical operations and study teams on data quality standards for Mixed Methods studies.
  • Drive external visibility through peer-reviewed publications, congress presentations, and participation in industry working groups.
Requirements
  • Masterโ€™s or Ph.D. in Health Sciences, Psychometrics, Psychology, Public Health, or a related field.
  • Minimum 10+ years of experience in the pharmaceutical, biotech, or scientific consulting industry focusing on COA strategy, psychometrics, and endpoint development.
  • Demonstrated mastery in designing qualitative and/or mixed methods protocols, analyzing complex qualitative/quantitative datasets, and base knowledge of modern psychometric methods.
  • Deep working knowledge of global regulatory guidelines (including FDA Patient-Focused Drug Development guidance).
  • Exceptional writing skills; the ability to turn scientific jargon into clear, persuasive regulatory and patient facing narratives. Demonstrated cross-functional leadership, negotiation, and written/verbal communication skills.
  • Ability to train and mentor long-term and new COA researchers in cross-functional evidence generation and synthesis.
  • Comfortable navigating and leading the presentation of the gray areas of emerging scientific methods where established regulations may not yet exist.
  • Proven ability to manage multiple high-stakes deadlines simultaneously as a member of the company leadership team.
  • Previous experience managing, mentoring, and building a high-performing team of qualitative and quantitative measurement scientists.
#J-18808-Ljbffr