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Amazon Transcribe Jobs (NOW HIRING)

Accord Technologies Inc.

Lead AWS AI Engineer

Piscataway, NJ · On-site

$104K - $137K/yr

AWS AI stack, Amazon Transcribe, Amazon Comprehend, Amazon Bedrock Role Summary We are seeking an experienced AWS AI Engineer - Lead to design, develop, and lead enterprise-scale AI/ML solutions on ...

Hirekeyz Inc

Amazon Connect

Plano, TX · On-site

Experience in Amazon Transcribe, Lex, Polly, Comprehend, Connect Contact lens, Experience collaborating with a globally distributed team Ability to adapt to rapidly changing requirements, while ...

Donato Technologies, Inc

Amazon Connect

Plano, TX · On-site

Experience in Amazon Transcribe, Lex, Polly, Comprehend, Connect Contact lens, * Experience collaborating with a globally distributed team * Ability to adapt to rapidly changing requirements, while ...

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How much do amazon transcribe jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for amazon transcribe in the United States is $22.63, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $25.00 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.

More about Amazon Transcribe jobs

What states have the most Amazon Transcribe jobs?

States with the most job openings for Amazon Transcribe jobs include:

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

The top searched job categories for Amazon Transcribe jobs are:

Amazon Transcribe jobs near you
Infographic showing various Amazon Transcribe job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $47,067 per year, or $22.6 per hour.

Lead AWS AI Engineer

Accord Technologies Inc.

Piscataway, NJ • On-site

$104K - $137K/yr

Contractor

Re-posted 14 days ago

Job description

Title: Lead AWS AI Engineer 
Location: Piscataway, NJ
Experience level: min 10+ years
Position type: W2 position
Start Date – Immediate
 

Mandatory skills: AWS AI stack, Amazon Transcribe, Amazon Comprehend, Amazon Bedrock
 

Role Summary

We are seeking an experienced AWS AI Engineer – Lead to design, develop, and lead enterprise-scale AI/ML solutions on AWS.
The ideal candidate will have strong expertise in the AWS AI stack, with hands-on experience in Amazon Transcribe, Amazon Comprehend, and Amazon Bedrock, along with a proven ability to architect and deploy intelligent, scalable, and secure cloud-native solutions.

Key Responsibilities

  • Lead the design and implementation of AI/ML solutions using AWS services.
  • Architect and build intelligent applications leveraging the AWS AI stack.
  • Develop and integrate solutions using:Amazon Transcribe for speech-to-text and audio processing use cases
  • Amazon Comprehend for natural language processing, sentiment analysis, entity recognition, and text analytics
  • Amazon Bedrock for building generative AI applications using foundation models
  • Collaborate with business, product, and engineering teams to identify AI-driven opportunities and translate requirements into scalable solutions.
  • Design end-to-end data and AI workflows, including ingestion, preprocessing, model integration, and deployment.
  • Ensure AI solutions meet security, compliance, performance, and cost-optimization requirements.
  • Guide the team on best practices for AWS architecture, MLOps, and AI solution deployment.
  • Provide technical leadership, mentoring, and code/design reviews for junior engineers.
  • Evaluate emerging AWS AI/ML services and recommend innovative solutions for business needs.

Required Skills

  • Strong experience as an AWS AI Engineer / Lead AI Engineer / Solution Architect.
  • Deep hands-on expertise in the AWS AI stack, especially:
  • Amazon Transcribe
  • Amazon Comprehend
  • Amazon Bedrock
  • Strong understanding of AI/ML solution architecture on AWS.
  • Experience building NLP, speech analytics, and generative AI applications.
  • Proficiency in Python and working knowledge of APIs, SDKs, and cloud-native integrations.
  • Experience with AWS services such as Lambda, S3, API Gateway, Step Functions, IAM, CloudWatch, and SageMaker.
  • Knowledge of prompt engineering, foundation models, and LLM-based application development.
  • Experience with CI/CD, DevOps, and MLOps practices in cloud environments.
  • Strong understanding of security, scalability, and cost optimization in AWS.
  • Excellent problem-solving, leadership, and stakeholder management skills.

Preferred Qualifications

  • AWS certifications such as AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect.
  • Experience with enterprise AI transformation programs.
  • Familiarity with vector databases, RAG architectures, and conversational AI solutions.
  • Experience in deploying production-grade generative AI solutions.