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How much do task transcription jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for task 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 is the difference between Task Transcription vs Data Entry Clerk?

AspectTask TranscriptionData Entry Clerk
Required CredentialsBasic typing skills, sometimes transcription software familiarityTyping skills, basic computer knowledge, sometimes data management certifications
Work EnvironmentRemote, flexible hours, audio/video filesOffice or remote, data input into systems or spreadsheets
Employer & Industry UsageMedia, legal, medical, academic sectorsCorporate, healthcare, government, retail sectors
Common Search & ComparisonOften compared for accuracy and speedCompared for efficiency and data accuracy

Task Transcription involves converting audio or video content into written text, often requiring listening skills and familiarity with transcription tools. Data Entry Clerks input data into databases or spreadsheets, focusing on accuracy and speed. While both roles require typing skills, transcription emphasizes audio comprehension, whereas data entry emphasizes data management. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

What are the key skills and qualifications needed to thrive as a Task Transcriptionist, and why are they important?

To thrive as a Task Transcriptionist, you need excellent listening skills, fast and accurate typing abilities, and a strong command of grammar and language, typically supported by a high school diploma or equivalent. Familiarity with transcription software, word processing programs, and sometimes specialized tools like foot pedals or audio enhancement applications is common. Attention to detail, time management, and the ability to maintain confidentiality are standout soft skills in this role. These skills are crucial for ensuring precise, timely, and secure transcription of audio or video content into written documents.

What is task transcription?

Task transcription involves listening to audio or video recordings and converting the spoken words into written text. This role is essential in various industries such as legal, medical, and business, where accurate records of conversations, meetings, or interviews are needed. Task transcriptionists must have excellent listening skills, attention to detail, and fast typing abilities. The work can be done remotely or in an office, and often requires familiarity with specialized terminology depending on the industry.

What are some common challenges faced by professionals in task transcription roles, and how can they be addressed?

Task transcription professionals often encounter challenges such as deciphering unclear audio, managing background noise, and handling speakers with various accents or speech patterns. To address these, it’s helpful to use high-quality headphones, become familiar with audio enhancement tools, and regularly practice transcribing diverse audio samples. Additionally, effective time management and clear communication with clients or team members about audio quality expectations can help ensure accurate and timely transcriptions.
More about Task Transcription jobs
What cities are hiring for Task Transcription jobs? Cities with the most Task Transcription job openings:
What states have the most Task Transcription jobs? States with the most job openings for Task Transcription jobs include:
What job categories do people searching Task Transcription jobs look for? The top searched job categories for Task Transcription jobs are:
Task Transcription jobs near you
Infographic showing various Task Transcription job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $47,067 per year, or $22.6 per hour.

English Language Specialist (Transcription)

ESRhealthcare and EXEC STAFF RECRUITERS

New York, NY • Remote

$20 - $30/hr

Full-time

Posted 21 days ago

Job description

English Language Specialist (Transcription)

$20 - $30/hour

pay

Required Skills

English

Transcription

Captioning

Writting

Attention to Detail

Job Description

Job Title: English Language Specialist (Transcription)

Job Type: Contractor

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Key Responsibilities:

Transcribe English audio files with a high degree of accuracy and consistency.

Review and refine machine-generated transcripts, correcting errors in spelling, grammar, and context.

Add relevant metadata tags and annotations to transcripts to enhance data quality.

Ensure all transcriptions meet strict quality standards and client formatting guidelines.

Collaborate with the customer's team to clarify requirements and resolve ambiguities in source material.

Handle sensitive or confidential content with discretion and professionalism.

Maintain organized records of completed assignments and contribute to process improvements.

Required Skills and Qualifications:

Fluent proficiency in English, with exceptional grasp of spelling, grammar, and punctuation.

Extensive experience in transcription and captioning of English audio content.

Strong written and verbal communication skills, demonstrating care and precision in every task.

High attention to detail, especially when reviewing and correcting machine-generated transcripts.

Proficient in annotating and tagging metadata for language data sets.

Excellent time management skills and ability to meet tight deadlines in a remote work environment.

Comfort working independently while being responsive to feedback and updates from the customer's team.

Preferred Qualifications:

Prior experience working with AI, speech recognition, or machine learning projects.

Background in linguistics, English, or related language studies.

Familiarity with industry-leading transcription tools and platforms.