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Data Annotation Ai Training Jobs in Arizona (NOW HIRING)

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

... AI models is high-quality, well-organized, and fit for use in model training and deployment. You ... Experience with data annotation tools and platforms for manual or semi-automated labeling.

... AI models is high-quality, well-organized, and fit for use in model training and deployment. You ... Experience with data annotation tools and platforms for manual or semi-automated labeling.

This position will lead the development, oversight, and management of AI/ML and data science training initiatives across the University of Arizona. The incumbent will work onsite at the University of ...

Agentic AI, AI & Data Science Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Vertex AI (e.g., Model Garden, Agent Builder, custom training); Gemini API and Google AI Studio; BigQuery (for data processing and analytics); Cloud Run, Cloud Functions, and GKE (for agent ...

... data-driven reporting, tailored to your industry background. * Document findings and provide ... AI systems for business documentation use cases. * Collaborate asynchronously with project ...

... proposals, or data-driven reporting, tailored to your industry background. * Document findings and provide actionable feedback to inform the ongoing development of AI systems for business ...

... proposals, or data-driven reporting, tailored to your industry background. * Document findings and provide actionable feedback to inform the ongoing development of AI systems for business ...

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English (US) Audio QA Annotation Specialist

MatchaTalent

Phoenix, AZ • On-site, Remote

Full-time

Posted 15 days ago


Job description

This role requires the candidate to work remotely from the United States.


Client Overview

Our client is a global artificial intelligence technology company specializing in the development of advanced large language models (LLMs), speech recognition technologies, multilingual AI systems, and data annotation solutions. The organization collaborates with leading AI research laboratories and enterprise technology companies worldwide to accelerate the development of next-generation artificial intelligence through high-quality human-generated data.

Supporting a diverse portfolio of multilingual AI initiatives, the company works with language specialists, voice professionals, and annotation experts across the globe to improve the accuracy, contextual understanding, and performance of cutting-edge AI systems used in speech processing, conversational AI, and natural language understanding.


Job Role

The English (US) Audio QA Annotation Specialist is responsible for reviewing, evaluating, and validating English (US) audio recordings to ensure they meet the highest quality standards required for AI speech recognition and audio annotation projects.

Working as part of a multilingual quality assurance team, this role focuses on assessing recording accuracy, pronunciation, fluency, audio clarity, annotation consistency, and compliance with project guidelines. The successful candidate will help ensure that all approved audio data contributes effectively to the development of advanced multilingual AI speech technologies.


Key Responsibilities

  • Review and evaluate English (US) audio recordings for quality, pronunciation accuracy, clarity, and natural speech delivery.
  • Verify annotation accuracy and ensure all submitted recordings comply with project guidelines and quality standards.
  • Identify audio quality issues including background noise, recording inconsistencies, pronunciation errors, or technical defects.
  • Provide structured quality feedback and recommend improvements when recordings do not meet required standards.
  • Ensure consistency across annotated datasets by following established QA processes and evaluation criteria.
  • Collaborate with project reviewers and annotation teams to maintain high-quality multilingual datasets.
  • Maintain accurate documentation of review outcomes and quality assurance findings.
  • Support the continuous improvement of AI speech recognition models through high-quality audio validation.


Candidate Requirements

  • Native-level fluency in English (US) with excellent listening comprehension and pronunciation knowledge.
  • Minimum 1 year of experience in audio quality assurance, audio annotation, localization, transcription review, voice-over, dubbing, ADR, or related language quality roles.
  • Strong attention to detail with the ability to identify pronunciation, fluency, and audio quality issues accurately.
  • Excellent understanding of American English linguistic nuances, regional accents, grammar, and natural speech patterns.
  • Experience reviewing audio recordings and applying quality standards consistently.
  • Familiarity with audio editing or audio playback software is preferred.
  • Strong analytical skills with the ability to provide clear and actionable quality feedback.
  • Ability to work independently while meeting project deadlines and quality targets.


Job Code: #784