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Amazon Transcribe Jobs (NOW HIRING)

Cynet Systems

FullStack AWS AI Engineer

Malvern, PA · On-site

$60 - $65/hr

Design, develop, and deploy Agentic and Generative AI solutions using AWS AI services (Amazon SageMaker, Bedrock, Rekognition, Textract, Transcribe, Translate). * Integrate foundation models / LLMs ...

CYNET SYSTEMS

Full - Stack AWS AI Engineer

Malvern, PA · On-site

$60 - $65/hr

Design, develop, and deploy Agentic and Generative AI solutions using AWS AI services (Amazon SageMaker, Bedrock, Rekognition, Textract, Transcribe, Translate). * Integrate foundation models / LLMs ...

TTEC Digital

AWS Sr. Developer Node.js/TypeScript

Austin, TX · On-site +1

$115K - $135K/yr

Experience designing and integrating AI/ML solutions using AWS AI services such as Amazon Lex, Bedrock, SageMaker, Comprehend, or Transcribe. * Familiarity with large language model (LLM) integration ...

Holland & Knight LLP

Software Engineer

Tysons, VA · On-site

$119K - $178K/yr

... Transcribe/Translate, etc.) and databases (DynamoDB and Postgres); * server-less design concepts and patterns; * writing and testing Lambda functions; and, * Amazon API's and CLI for integration.

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How much do amazon transcribe jobs pay per hour?

As of Jul 11, 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 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 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 does Amazon Transcribe do?

Amazon Transcribe is a service that converts spoken language into written text using automatic speech recognition technology. A job involving Amazon Transcribe typically requires understanding audio processing, transcription accuracy, and familiarity with AWS tools and APIs.

Is Amazon Transcribe legit?

Amazon Transcribe is a legitimate cloud-based automatic speech recognition service offered by Amazon Web Services. It is widely used by businesses and developers for transcription tasks and is considered a reliable and secure platform within the industry. As a job related to Amazon Transcribe, roles may involve working with cloud technologies, audio processing, and data security standards.

Which is the highest paying transcription site?

For transcription jobs like Amazon Transcribe, pay rates vary by platform and experience level. Generally, premium or specialized transcription sites such as Rev, TranscribeMe, and GoTranscript tend to offer higher pay rates compared to standard platforms. Earnings can also depend on the complexity of the work and the quality of the audio files.

Are transcription jobs still in demand?

Transcription jobs, including roles like Amazon Transcribe, remain in demand due to ongoing needs for accurate audio-to-text conversion in industries such as healthcare, legal, and media. These roles often require good listening skills, attention to detail, and familiarity with transcription software, and demand varies with technological advancements and industry growth.
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 July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $47,067 per year, or $22.6 per hour.

AWS AI Platform Engineer

Tata Consultancy Service Limited

Phoenix, AZ • On-site

$110K - $130K/yr

Full-time

Posted 17 days ago

Job description

Senior Engineer AWS AI Platform, RAG and Agentic AI
Experience
• 1015 years of experience in Cloud Engineering, Platform Engineering, or Enterprise Architecture
• 4+ years of experience designing and implementing AI/ML and Generative AI solutions
• 2+ years of hands-on experience building RAG systems and AI Agents
• Experience working in large enterprise or financial services environments is highly preferred
Role Summary
We are seeking a Senior Engineer AWS AI Platform & RAG Integration to serve as the technical bridge between the AWS Cloud Infrastructure team, Enterprise AI Platform team, Security, Networking, Data Engineering, and Application Development teams.
The Engineering Lead will drive the onboarding of AI use cases onto the enterprise AI platform by coordinating cloud infrastructure requirements, designing scalable AI integration patterns, and implementing Generative AI solutions using AWS native AI services.
This role combines technical leadership, solution architecture, hands-on engineering, and cross-functional coordination to accelerate enterprise AI adoption while ensuring scalability, security, governance, and operational excellence.
Key Responsibilities
AI Platform Integration
• Lead onboarding of business applications onto the enterprise AI platform
• Translate business and AI requirements into AWS infrastructure and platform capabilities
• Design reusable AI integration patterns and reference architectures
• Define enterprise standards for AI application integration
• Support multiple AI initiatives across business domains
RAG and Agentic AI Development
• Design and implement Retrieval-Augmented Generation (RAG) architectures
• Build AI agents and multi-agent workflows for enterprise use cases
• Design enterprise knowledge retrieval and semantic search solutions
• Develop reusable AI orchestration components and AI APIs
• Integrate enterprise data sources into AI knowledge bases
• Implement prompt engineering and context management strategies
AWS Cloud Platform Engineering
• Work with AWS Cloud Infrastructure teams to use AI to provision and configure AWS Cloud infrastructure
• Design cloud-native AI architectures using AWS managed services
• Support infrastructure automation and deployment pipelines
• Ensure high availability, scalability, and resilience of AI workloads
• Coordinate networking, IAM, security, storage, and compute requirements
Cross-Team Leadership
• Act as the primary technical liaison between:
o AWS Cloud Infrastructure teams
o AI Platform teams
o Security and IAM teams
o Networking teams
o Data Engineering teams
o Application Development teams
o Enterprise Architecture teams
• Lead technical workshops and architecture discussions
• Coordinate cross-functional delivery activities
• Mentor engineering teams adopting AI capabilities
AI Governance and Operational Excellence
• Ensure AI solutions comply with enterprise security and governance standards
• Design secure AI integration patterns
• Implement AI guardrails and Responsible AI controls
• Support AI evaluation, monitoring, and observability
• Drive AI platform best practices and reusable accelerators
Required Technical Skills
AWS Cloud: VPC, IAM, EC2, ECS, EKS, Lambda, S3, API Gateway, CloudWatch, CloudFormation, EventBridge, SNS/SQS, Step Functions, KMS, Secrets Manager, Terraform, Elasticsearch, Cost Analysis, Budgeting
AWS AI Services: Amazon Bedrock, SageMaker AI, Amazon Knowledge Bases, Amazon OpenSearch, Amazon Titan, Bedrock Agents, Bedrock Guardrails, Textract, Comprehend, Transcribe, Rekognition, Neptune
AI Technologies: RAG architecture, Vector databases, Embeddings, Vector Search, Sematic search, Prompt engineering, Context Engineering, Agentic AI, Multi-agent orchestration, MCP, LangChain, LangGraph, LlamaIndex, AI evaluation techniques, Hallucination Mitigation Techniques, AI governance, LLM Models (Anthropic)
Programming: Python, Java, REST APIs, SDK integration, Git, CI/CD, Claude Code
Data Skills: SQL, NoSQL, Document processing, Data chunking, Metadata management, Data ingestion pipelines
Leadership Skills: Executive communication, Cross-functional coordination, Technical leadership, Architecture governance, Stakeholder management
Preferred Qualifications
• Experience with enterprise AI platform implementation
• Experience in Banking or Financial Services
• Familiarity with Responsible AI and AI Governance frameworks
• Experience implementing secure AI solutions in regulated environments
• AWS Professional or Specialty Certifications
• Experience with DevSecOps and Platform Engineering practices
Salary Range- $110,000-$130,000 a year
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