Transcription Reviewer

We are looking for detail-oriented reviewers for a short-term, flexible transcription review project. The selected reviewer will review and correct AI-generated audio transcripts to ensure accuracy, strict verbatim precision, and high-quality linguistic tagging. Selected markets: Portugal Indonesia Thailand Poland Israel Malaysia Philippines Russia Arabic Khaliji Ukraine Responsibilities -Review AI-generated transcripts: Verify and correct machine-generated transcripts by carefully comparing them with the original audio. -Apply strict verbatim transcription: Capture speech exactly as spoken, including disfluencies such as “um� and “uh,� false starts, repetitions, and word fragments (for example, “I- I woke up�). -Add timestamps and linguistic tags: Accurately mark the beginning and end of speech segments and identify non-verbal sounds or emotions using the required bracketed tags, such as [laugh] and [breath]. -Follow formatting guidelines: Apply all required spelling, punctuation, segmentation, and stylistic rules. For example, numbers and currencies must be written as verbalized, so “$100� would be transcribed as “one hundred dollars.� -Perform quality control: Ensure that every reviewed transcript meets the project’s accuracy and formatting standards before submission. Qualifications Language: You must be a native speaker of one of the languages above Current residency: You must currently reside in one of the above markets. We will not consider applications from candidates living outside these countries. Relevant experience: Previous experience in verbatim transcription, subtitling, linguistic annotation, or transcript quality review is highly preferred. Strong attention to detail: Ability to listen carefully and consistently follow detailed transcription, punctuation, tagging, and formatting guidelines. Technical proficiency: Comfortable using web-based transcription platforms and AI-review tools. Availability: Able to complete approximately 40 hours of project work within the required timeline. Confidentiality and security: Willing to sign a Non-Disclosure Agreement (NDA) and comply with strict data privacy and information-security requirements. Conditions Approximately 20 to 40 hours 100% quality review of the assigned audio Expected review ratio: approximately 2 hours of work for every 1 hour of audio Short-term project with a flexible schedule Reviewers must be able to complete the assigned workload within the project timeline