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Amazon Transcribe Jobs in California (NOW HIRING)

Socket.dev

Manager, Software Engineering

Mountain View, CA · On-site

$266 - $326/hr

... Amazon, Netflix, Google, Uber, Dropbox, etc. As a hands-on Manager for our Early Bets team, you ... With your consent, EarnIn may use AI tools to help transcribe or summarize interviews. Recordings ...

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All JobsAmazon Transcribe JobsAmazon Transcribe Jobs in California

Amazon Transcribe information

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$27

How much do amazon transcribe jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for amazon transcribe in California is $22.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $24.66 per hour, depending on experience, location, and employer.

What is Amazon Transcribe?

Amazon Transcribe is a cloud-based automatic speech recognition (ASR) service provided by Amazon Web Services (AWS). It enables developers to add speech-to-text capabilities to their applications by converting audio files into accurate, readable text. The service supports a wide range of languages and audio formats, making it useful for transcribing customer service calls, generating subtitles, and creating searchable text from audio content. Amazon Transcribe also offers features like speaker identification, custom vocabulary, and punctuation.

What are the typical daily responsibilities of an Amazon Transcribe Specialist?

As an Amazon Transcribe Specialist, your daily responsibilities often include setting up and managing transcription jobs, reviewing and validating transcribed text for accuracy, and troubleshooting issues with audio input or output formats. You may also collaborate with data analysts, developers, or project managers to integrate transcription services into larger workflows or applications. Staying updated with new features and best practices for Amazon Transcribe is important to ensure optimal results and continuous improvement in automated transcription processes.

What are the key skills and qualifications needed to thrive as an Amazon Transcribe Specialist, and why are they important?

To thrive as an Amazon Transcribe Specialist, you need strong proficiency in speech-to-text technology, understanding of audio formats, and experience in transcription workflows, often supported by familiarity with AWS services. Expertise with the Amazon Transcribe platform, API integration, and related cloud-based tools is commonly required. Attention to detail, time management, and effective communication are essential soft skills for delivering accurate transcriptions and collaborating with clients or team members. These skills ensure precise, timely, and scalable transcription services that meet client requirements and leverage AWS capabilities.

What is the difference between Amazon Transcribe vs Speech Recognition Specialist?

AspectAmazon TranscribeSpeech Recognition Specialist
CredentialsTechnical certifications, cloud computing knowledgeSpeech processing, linguistics, or related certifications
Work EnvironmentCloud platforms, software developmentAudio analysis, linguistics labs, or tech companies
Industry UsageAI, transcription services, cloud providersSpeech technology, voice recognition projects
Common Search IntentAutomated transcription toolsSpeech recognition system development

Amazon Transcribe is an automated cloud-based transcription service, while a Speech Recognition Specialist designs, tests, and improves speech recognition systems. The former is a product used by developers and companies, whereas the latter is a professional role focused on system development and optimization.

What are popular job titles related to Amazon Transcribe jobs in California?

For Amazon Transcribe jobs in California, the most frequently searched job titles are:

What job categories do people searching Amazon Transcribe jobs in California look for?

The top searched job categories for Amazon Transcribe jobs in California are:

Amazon Transcribe jobs near you
Infographic showing various Amazon Transcribe job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,451 per year, or $22.3 per hour.

Machine Learning Engineer II at Glidewell Dental Irvine, CA

Shell Lubricants Hub Hamburg

Irvine, CA • On-site

$117 - $146/hr

Other

Posted 29 days ago

Job description

Machine Learning Engineer II job at Glidewell Dental. Irvine, CA.

Job Description

Essential Functions:

  • Designs, develops, and deploys machine learning models for real-world applications.
  • Builds scalable pipelines for data ingestion, pre-processing, training, and inference.
  • Owns end to end development of machine learning algorithms including data analysis, feature engineering, model development, training, validation, and performance evaluation.
  • Designs, implements, and optimizes retrieval-augmented generation (RAG) pipelines that combine large language models (LLMs) with vector search/retrieval systems.
  • Builds data ingestion and embedding pipelines for efficient indexing and retrieval.
  • Fine-tunes and adapts LLMs for domain-specific tasks such as instruction tuning, prompt engineering, low-rank adaptation (LoRA), etc.
  • Engages in both engineering and research, exploring latest ML algorithms, solution architectures, and cutting-edge approaches to improve retrieval and generation performance.
  • Works with stakeholders to translate business requirements into robust technical solutions that deliver measurable impact.
  • Works with engineering teams to continuously scale and advance machine learning across the organization.
  • Identifies new opportunities of applying ML technology to improve business workflows and processes.
  • Builds a deep understanding of the company’s products, services, data, and customers to deliver impactful solutions.
  • Performs other related duties and projects as business needs require at direction of management.

Education and Experience:

  • Master’s degree in Machine Learning, Deep Learning, or a computer science-related field. PhD preferred.
  • Minimum three (3) years of relevant work experience in the areas below, or any equivalent education and/or experience from which comparable knowledge, skills and abilities have been demonstrated/achieved:
  • Understands fundamental concepts, practices, and procedures of machine learning field.
  • Data discovery, data aggregation, and feature engineering with SQL query writing skills.
  • Training, evaluating, optimizing, deploying, and maintaining machine learning models on production systems.
  • Logging, tracking, A/B testing, evaluating and analyzing the performance of different machine learning algorithms and models in production.
  • Strong development skills in Python programming language and have experience in developing data-driven, scalable, and reliable applications with Amazon Web Services (AWS).
  • Applying machine learning algorithms to solve a wide range of optimization problems like customer sales prediction, recommendation engine, sentiment analysis, deep learning with image and natural language, customer segmentations/clustering, and object detection.
  • Utilization of popular open-source machine learning/deep learning libraries like LangChain, HuggingFace, Tensorflow, scikit-learn, pandas, pyTorch, and Keras.
  • Experience working with relational, non-relational, and high-scale data processing and storage frameworks like Structured Query Language (SQL), AWS RedShift, Aurora, S3, DynamoDB, MySQL, PostgreSQL.
  • Experience with AWS Serverless architecture and AWS native services like BedRock, EC2, Lambda, Step Functions, SageMaker, Rekognition, Comprehend, Lex/Polly, and Transcribe.

Pay Range: $117,000 - $146,000/YR

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