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Arabic Ai Engineer Jobs (NOW HIRING)

Our team is small, highly motivated, and focused on engineering excellence. This organization is ... As an AI Tutor specialized in multilingual audio capabilities, you will contribute to xAI's mission ...

AI Red Teamer

Washington, DC · On-site

$70K - $90K/yr

Our adversarial red teaming, model evaluations, and intelligence collection enable engineering ... Full professional proficiency in Arabic, Chinese, Farsi, Portuguese, Russian, or Spanish, as well ...

Collaborate with engineers and researchers to enhance AI's clinical reasoning * Apply cognitive ... Arabic, Italian, Indonesian, or Chinese (Mandarin & Cantonese)

AI Red Teamer

Washington, DC · On-site +1

$70K - $90K/yr

... in Jupyter or prompt-engineering tools. * Communicates clearly in English and at least one ... Full professional proficiency in Arabic, Chinese, Farsi, Portuguese, Russian, or Spanish, as well ...

Proven use of AI-assisted development tools (e.g. Claude-CLI, Cursor, or similar AI-first workflows ... Arabic language skills. Why This Opportunity * Competitive early-stage compensation + equity

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Arabic Ai Engineer information

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$25

$53

$76

How much do arabic ai engineer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for arabic ai engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Arabic AI Engineer, and why are they important?

To thrive as an Arabic AI Engineer, you need strong programming skills (such as Python), expertise in machine learning or natural language processing, and proficiency in Arabic language linguistics, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow or PyTorch), NLP libraries, and tools for Arabic text processing is typically required. Excellent problem-solving abilities, cross-cultural communication, and adaptability help you stand out in this position. These combined skills ensure the development of effective, culturally relevant AI solutions for Arabic language applications.

What are Arabic AI Engineers?

Arabic AI Engineers are professionals who specialize in developing and optimizing artificial intelligence systems that understand, process, or generate the Arabic language. Their work often involves natural language processing (NLP), machine learning, and deep learning techniques tailored for Arabic text and speech. They may build applications like chatbots, translation tools, or speech recognition systems, ensuring these technologies work accurately with the unique linguistic features of Arabic. These engineers often collaborate with linguists and data scientists to enhance AI models for Arabic-speaking users.

What is the difference between Arabic Ai Engineer vs Natural Language Processing (NLP) Engineer?

AspectArabic Ai EngineerNLP Engineer
CredentialsDegree in Computer Science, AI, or related fields; knowledge of Arabic language processingDegree in Computer Science, Data Science, or related fields; expertise in language models
Work EnvironmentTech companies, AI startups, research labs focusing on Arabic language applicationsTech firms, research institutions, companies developing language-based AI solutions
Industry UsageSpecialized in Arabic language AI solutions, speech recognition, and NLP for ArabicDevelops NLP models for multiple languages, including Arabic, English, and others

The Arabic Ai Engineer focuses specifically on developing AI solutions tailored to the Arabic language, while the NLP Engineer works on broader language processing models across multiple languages. Both roles require similar technical skills but differ in language specialization and application scope.

How do Arabic AI Engineers typically collaborate with linguists and domain experts to develop effective language models?

Arabic AI Engineers regularly work closely with linguists and subject matter experts to ensure that language models accurately reflect the nuances of Arabic dialects and cultural context. This collaboration often involves joint data annotation, iterative model evaluation, and integrating domain-specific feedback into AI solutions. Such teamwork helps address challenges like dialectal variation, ambiguity, and context sensitivity, resulting in more robust and user-relevant AI applications.
Infographic showing various Arabic Ai Engineer job openings in the United States as of May 2026, with employment types broken down into 20% Full Time, 20% Part Time, and 60% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

AI Tutor - Arabic

xAI

Palo Alto, CA

Full-time, Part-time

Medical, Retirement

Posted 7 days ago


Job description

ABOUT xAI

xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

As an AI Tutor specialized in multilingual audio capabilities, you will contribute to xAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

RESPONSIBILITIES:

  • Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
  • Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
  • Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
  • Work with technical staff to improve annotation tools for efficient audio workflows.

BASIC QUALIFICATIONS:

  • Native proficiency in Arabic with exposure to diverse accents, dialects, or regional variations.
  • Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
  • Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
  • Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
  • Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
  • Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
  • Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
  • Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
  • Commitment to developing AI that masters sophisticated multilingual audio capabilities.

PREFERRED SKILLS AND EXPERIENCE:

  • Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
  • Deep understanding and taste of what good/useful Audio data is.
  • Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
  • Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
  • Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
  • Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
  • Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
  • Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
  • Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

LOCATION AND OTHER EXPECTATIONS:

  • Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
  • For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
  • Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.
  • For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.
  • We are unable to provide visa sponsorship.
  • For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

COMPENSATION AND BENEFITS:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.