Arabic Audio QA Specialist (Remote, Part-Time)

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people start and grow careers teaching AI by discovering projects, building a unified profile, and applying quickly — creating a durable freelance path in a fast-growing industry.

OpenTrain AI is the hiring and contracting organization for this role. We’re recruiting specialists who will directly shape how conversational AI understands Arabic speech.

Why AI training matters

AI training (data labeling and human feedback work) is the human side of building modern AI. People prepare and verify the examples models learn from — transcribing speech, checking timestamps, identifying speakers, and ensuring recordings are clean and private.

This work is highly flexible, often remote and part-time, and gives contributors a chance to influence how state-of-the-art systems understand real-world language and conversation.

The role: Arabic Audio QA Specialist

You will serve as the final quality check on multi-channel Arabic audio and the human-verified transcriptions used to train speech and conversational models. Your review makes sure recordings are technically sound, transcriptions are verbatim and time-aligned, speaker IDs and metadata are accurate, and privacy standards are enforced.

• Evaluate multi-channel audio for technical quality, channel isolation, and noise issues such as bleed or clipping.
• Validate human-reviewed transcriptions for word-level accuracy, verbatim capture, and correct timestamps.
• Verify speaker identification and metadata tags, including demographic markers and conversational domains.
• Audit sessions for PII or sensitive content and enforce privacy and safety standards.
• Assign pass/fail statuses and provide clear, actionable feedback to annotators and reviewers.

What we require

This position is entry-level friendly but requires native Arabic proficiency and a highly attentive ear. The role is remote, contract, part-time, and expects at least 20+ hours per week.

• Native Arabic proficiency required (spoken comprehension and reading).
• Exceptional ability to detect background noise, channel bleed, clipping, and other audio fidelity issues.
• Meticulous attention to detail for word-level timestamps and unnormalized, verbatim transcription.
• Ability to assess and interpret complex multi-speaker dynamics in conversational recordings.
• Availability to work 20+ hours per week in a contractor, part-time capacity.
• This role is worldwide-remote; candidates may apply from any country.

Helpful background (nice to have)

The following experience can make you especially competitive, but none are strictly required unless listed above.

• Training or academic background in linguistics or phonetics with familiarity in natural speech patterns.
• Language teaching experience at native-level proficiency.
• Professional transcription experience that involved rigorous, word-level timestamping.

How to apply and next steps

Create a free OpenTrain account and submit your application for this Arabic Audio QA Specialist role. OpenTrain is the hiring and contracting organization for this work and will provide details about the engagement after you apply.

Compensation details are not specified in this listing and will be shared during the application or onboarding process. Expect to perform focused QA tasks on audio and transcription artifacts and to document clear feedback for annotation teams.