Arabic (MSA) Transcription & Annotation Specialist

About OpenTrain AI

OpenTrain AI is the platform where people start and grow careers in AI training and data labeling. We connect contractors with specialist audio, text, and multimodal projects, let contributors build a verified portfolio, and manage work and payments in one place.

Why AI training matters

AI training (also called data labeling or annotation) is the human work behind how modern AI systems learn to understand language and speech. Contributors transcribe audio, correct machine outputs, add annotations and metadata, and provide quality feedback — work that directly shapes model behavior.

This field is a fast-growing, flexible way to work in tech: most projects are 100% remote, let you choose your hours, and are accessible to people with language fluency and attention to detail. Specialist skills can unlock higher-paying tasks.

The role

We are recruiting Arabic (Modern Standard Arabic) transcription and annotation specialists to produce high-accuracy transcriptions, correct machine-generated transcripts, add metadata and annotations, and provide quality feedback on language data. You will handle MSA audio that may contain nuanced or context-dependent phrasing and must capture linguistic detail accurately.

What you'll do

Daily tasks combine careful listening, text editing, and structured tagging. Work is remote and performed as contracted, part-time hours.

• Transcribe Modern Standard Arabic audio with exceptional accuracy and natural fluency.
• Review and correct machine-generated transcripts for correctness, clarity, and consistent style.
• Add metadata tags and annotations to enrich each transcription (speaker labels, timestamps, noise, etc.).
• Identify contextual information and linguistic nuances such as register, dialectal influence, or code-switching where present.
• Maintain confidentiality when working with sensitive or proprietary content.
• Provide clear written feedback on data quality and annotation edge cases.

Requirements

Candidates must meet the core language and quality expectations below. This is an entry-level friendly role but requires demonstrable transcription skill and attention to detail.

• Fluent Modern Standard Arabic in both written and spoken form (required).
• Proven audio transcription experience and strong attention to detail.
• Experience spotting and correcting errors in machine-generated transcriptions.
• Experience adding and managing metadata tags and annotations for audio or text.
• Working knowledge of transcription guidelines and language data quality best practices.
• Excellent written and verbal communication skills in Arabic and English.
• Comfort working independently in a remote, contractor role.

Helpful background

The following experiences are useful but not required. They help when qualifying for higher-volume or specialized tasks.

• Background as a professional transcriber or audio engineer.
• Experience contributing to linguistic data projects or large-scale transcription efforts.
• Previous annotation or QA work for speech datasets.

Compensation, schedule, and how to apply

Pay: USD $10–$20 per hour (posted rate includes an hourly rate of $20; final pay depends on task and assignment). This role is contract, part-time, and requires 20+ hours per week.

Location: Remote — worldwide applicants accepted. Work is performed as a contractor through OpenTrain AI and requires reliable internet and a quiet workspace for listening tasks.

To apply: create a free OpenTrain account, complete your profile including language fluency and availability, and submit any relevant transcription samples or a brief note describing related experience. Successful applicants will receive onboarding materials and task-specific guidelines.