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Hiring Arabic Language Translators and Linguist for LLM Annotation Work

DeepLLMData
Abu Dhabi, UAE
contract
Entry
4 days ago
AnnotationArabicHiringLanguageLinguistLlm
Free

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Company Description

DeepLLMData specializes in providing high-quality annotated data for advanced machine learning models.

Our expertise includes supervised fine-tuning (SFT), reinforcement learning with human feedback (RLHF), and domain-specific data services for STEM fields, PhDs, mathematics, as well as image and video annotation.

We support frontier technologies with expert human data, empowering state-of-the-art AI development.

Through our skilled workforce, we partner with clients to deliver precise and impactful data solutions.

Dialect : Emirati Dialect.

Requirement is also to able to speak and do Audio recordings in the Emirati Dialect

Role Description

Member needs to create Audio based on the provide scripts for scenarios related to Real World Call center .

Script can be in the domain of Airlines, Healthcare, Finance and Banking.

This is a remote, freelancing contract-based position for skilled Arabic Translators and Linguists for large language model (LLM) annotation work in the Emirati dialect.

This role is task based and on contract basis.

Responsibilities

also includes translating Audio and annotating Arabic text, ensuring linguistic accuracy, performing language analysis, and supporting culturally appropriate output for AI models.

The role may also involve developing linguistic guidelines and maintaining data quality throughout the annotation process.

Qualifications

  • Proficiency in Emirati dialect Arabic and English, including advanced linguistic and cultural knowledge
  • Experience in translation and annotation
  • Strong attention to detail, language accuracy, and quality control
  • Previous work with AI/data annotation tools is advantageous
  • Effective communication skills and ability to meet deadlines
  • Bachelor's degree in Linguistics, Translation Studies, Computational Linguistics, or a related field preferred

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