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Audio To Text Transcription Jobs (NOW HIRING)

Confie

AI Engineer

Addison, TX · On-site +1

$110K - $140K/yr

Develop generative AI solutions for text generation, summarization, audio-to-text transcription, and call center conversation insights using LLMs. Develop advanced prompting strategies including ...

Harvard University

Speech to Text Provider

Cambridge, MA · On-site

$56/hr

Proficient use of a laptop and captioning/transcription software to provide real-time meaning-for-meaning captions/transcriptions of spoken English into text in academic settings. * Working knowledge ...

Harvard University

Speech to Text Provider

Cambridge, MA

$43.25 - $58.50/hr

Proficient use of a laptop and captioning/transcription software to provide real-time meaning-for-meaning captions/transcriptions of spoken English into text in academic settings. * Working knowledge ...

Axle Repair Inc

Applied AI Engineer

Los Angeles, CA · On-site

... to-text transcription, entity extraction, classification and help shape our evaluation and experimentation platform * Work with messy, domain-specific data, shop-floor audio, unstructured repair ...

Bland

Machine Learning Researcher, Audio

San Francisco, CA · On-site

$140K - $250K/yr

Design and train large scale text-to-speech models capable of expressive, controllable, human ... Improve transcription accuracy for real-world enterprise scenarios, including structured extraction ...

Allegis Transcription

Transcriptionist

Renton, WA · On-site +1

Since 1996 Allegis has provided premiere transcription services to legal and insurance industry ... audio recordings completely, accurately, and in adherence to formatting standards and quality ...

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Audio To Text Transcription information

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How much do audio to text transcription jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for audio to text transcription 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 Audio to Text Transcriptionist, and why are they important?

To thrive as an Audio to Text Transcriptionist, you need excellent listening skills, fast and accurate typing abilities, and strong command of grammar and language. Familiarity with transcription software like Express Scribe, foot pedal controls, and experience with audio file formats are typically required. Attention to detail, time management, and the ability to concentrate for extended periods are valuable soft skills in this role. These skills ensure precise and efficient transcription, meeting client deadlines and maintaining high-quality standards.

What is audio to text transcription?

Audio to text transcription is the process of converting spoken words from audio recordings into written text. Transcriptionists listen to recordings from various sources, such as interviews, meetings, lectures, or podcasts, and accurately type out what is being said. This service is used in many industries, including legal, medical, academic, and media, to create written records of audio content. The work requires attention to detail, good listening skills, and proficiency in grammar and spelling.

What is the difference between Audio To Text Transcription vs Captioner?

AspectAudio To Text TranscriptionCaptioner
CredentialsTypically no formal certification required, but strong language skills helpfulOften requires knowledge of captioning standards and sometimes certification
Work EnvironmentRemote or in-office, working with audio filesPrimarily remote, working with video content and timing synchronization
Industry UsageMedia, legal, medical, general transcriptionBroadcast, film, online streaming, education

Audio To Text Transcription involves converting audio recordings into written text, focusing on accuracy of spoken words. Captioners specialize in creating timed text for videos, ensuring synchronization with audio. While both roles require excellent language skills, captioners often need additional knowledge of captioning standards and timing. The two jobs overlap in skills but serve different purposes in media and communication industries.

What are some common challenges faced by audio to text transcriptionists, and how can they be managed?

Audio to text transcriptionists often encounter challenges such as poor audio quality, heavy accents, multiple speakers talking over each other, and specialized terminology. To manage these, it's important to use high-quality headphones, familiarize yourself with industry-specific vocabulary, and leverage transcription software with features like playback speed control and noise reduction. Communication with clients about unclear sections and maintaining attention to detail also help ensure accuracy and efficiency in your work.
More about Audio To Text Transcription jobs
What cities are hiring for Audio To Text Transcription jobs? Cities with the most Audio To Text Transcription job openings:
What states have the most Audio To Text Transcription jobs? States with the most job openings for Audio To Text Transcription jobs include:
What job categories do people searching Audio To Text Transcription jobs look for? The top searched job categories for Audio To Text Transcription jobs are:
Audio To Text Transcription jobs near you
Infographic showing various Audio To Text Transcription job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $47,067 per year, or $22.6 per hour.
AI Engineer

AI Engineer

Confie

Addison, TX • On-site, Remote

$110K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

Pay Range:
  • $110000 - $140000 / year

Our Perks & Benefits:_
  • Comprehensive benefits package including medical, dental, vision, and life insurance
  • Performance-based bonuses to reward your contributions*
  • Paid time off to recharge and maintain a healthy work-life balance
  • Flexible work options, including remote and hybrid opportunities, if eligible
  • Retirement Plan (401k) with company-matched contributions
  • Education Advancement, for employees and qualified dependents, via the Confie Enablement Scholarship Fund
  • Fitness Reimbursement - up to $15/month for gym memberships
  • Inclusive workplace through a strong commitment to Diversity, Equity, and Inclusion
  • Employee Assistance Program - confidential support for personal or professional challenges, at no cost
  • Extra Perks - optional plans for disability, hospital indemnity, health advocate program, universal life, critical illness, accident insurance, and even pet insurance

Purpose
Responsible for designing, developing, and deploying production-grade AI solutions including autonomous agents, generative AI applications, and RAG-based systems. You will leverage large language models (LLMs), agentic frameworks, and advanced machine learning techniques to automate workflows, improve customer experiences, and drive business innovation.
Essential Duties & Responsibilities
Design and deploy autonomous AI agents using frameworks like LangGraph, AutoGen, CrewAI, or OpenAI Assistants API for multi-step reasoning and task execution.
Implement function calling, tool use, and API integrations enabling LLMs to interact with enterprise systems, databases, and external applications.
Design agent memory systems including conversational memory, long-term knowledge retention, and context management strategies.
Build advanced RAG systems with vector databases, hybrid search (dense + sparse retrieval), and reranking for domain-specific chatbots and knowledge retrieval.
Develop generative AI solutions for text generation, summarization, audio-to-text transcription, and call center conversation insights using LLMs.
Develop advanced prompting strategies including chain-of-thought reasoning, few-shot learning, and structured output generation.
Integrate with AI platforms including Snowflake Cortex, OpenAI, Azure AI Studio, AWS Bedrock, and Anthropic Claude.
Implement AI observability, guardrails, and evaluation frameworks (RAGAs, TruLens, DeepEval) to ensure quality, safety, and reliability.
Conduct experiments and fine-tune models using techniques like LoRA and QLoRA to optimize performance for domain-specific use cases.
Deploy production solutions using containerization (Docker, Kubernetes), CI/CD pipelines, and cloud-native architectures.
Continuously monitor the performance of AI solutions and implement improvements.
Create high-level and detailed design documentation for AI solutions, including architecture diagrams and technology selection rationale.
Collaborate with cross-functional teams to identify and prioritize high-impact AI opportunities that drive significant business value.
Mentor and provide guidance to junior team members; participate in code reviews and maintain high-quality engineering standards.
Keep updated with advances in AI technology and find opportunities to upgrade existing solutions.
Adhere to best practices in data privacy and security when working with sensitive data.
Qualifications and Education Requirements
Minimum of 3 years of professional experience in AI engineering or related roles.
3+ years experience developing AI/ML solutions on platforms such as Snowflake, Azure, AWS , OpenAI, Databricks, or similar.
2+ years hands-on experience with Generative AI including LLM application development, RAG systems, and production deployments.
Experience with agentic AI frameworks (LangGraph, AutoGen, CrewAI, OpenAI Assistants API) and multi-agent orchestration.
Proficiency in Python, LangChain/LlamaIndex, and vector databases (Pinecone, Weaviate, Chroma, pgvector, Snowflake).
Expertise in prompt engineering including chain-of-thought, few-shot learning, and structured outputs (JSON mode, function calling).
Experience with evaluation frameworks for Generative AI (RAGAs, TruLens, DeepEval) in the context of text generation.
Understanding of AI safety concepts including guardrails, content filtering, hallucination mitigation, and red-teaming.
Experience with data preprocessing, feature engineering, and model evaluation techniques.
Solid understanding of software engineering principles and best practices.
Experience bringing GenAI projects through production and implementation with measurable business impact.
Soft Skills
Strong analytical and problem-solving skills.
Excellent communication skills with ability to articulate complex technical concepts to both technical and non-technical stakeholders.
Highly motivated and self-driven with ability to work independently and in collaborative team environments.
Ability to think creatively about applying AI to solve business problems.
Effective time management and organizational skills to manage multiple projects simultaneously.
Continuous learning mindset and ability to adapt to new technologies in the fast-evolving AI landscape.
Preferred Skills
Bachelor's or Master's degree in Computer Science, Data Science, or a related field is preferred.
Relevant certifications in AI/ML platforms (AWS, Azure, Google Cloud) or related areas are a plus.
Familiarity with the call center environments and operational insurance platforms is preferred
Other Duties
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice
Notice
As permitted by applicable law and from time-to-time, Confie may use a computer system that has elements of artificial intelligence to help make decisions about your employment, including recruitment, hiring, renewal of employment, or the terms and conditions of your employment. Employees with questions about Confie's use of these computer systems should contact Human Resources at employeerelations@confie.com
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.
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About Confie

Sourced by ZipRecruiter

Industry

Insurance services

Company size

1,001 - 5,000 Employees

Headquarters location

Huntington Beach, CA, US

Year founded

2008

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