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Entry Level Arabic Ai Training Jobs (NOW HIRING)

xAI

AI Tutor - Arabic

Qualifications : Required : • Native proficiency in Arabic with exposure to diverse accents ... or AI training data, including knowledge/experience with training voice models, and an ...

xAI

AI Tutor - Arabic

Palo Alto, CA

... training and refining Grok to excel in voice interactions, speech recognition, and auditory ... Native proficiency in Arabic with exposure to diverse accents, dialects, or regional variations.

Wing Assistant

$6 - $18/hr

... an AI Training Audio & Video Participation Study. This is a flexible, project-based opportunity ... Arabic * Azerbaijani * Bulgarian * Czech * Danish * Greek * Persian * Finnish * Hungarian

Weekday AI

Psychologist (Ph.D/Psy.D)

Analyze and annotate clinical interactions for AI training and evaluation * Provide expert feedback ... Arabic, Italian, Indonesian, or Chinese (Mandarin & Cantonese)

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$79K

How much do entry level arabic ai training jobs pay per year?

As of Jun 11, 2026, the average yearly pay for entry level arabic ai training in the United States is $50,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $58,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Arabic Ai Training vs Entry Level Arabic Content Annotator?

AspectEntry Level Arabic Ai TrainingEntry Level Arabic Content Annotator
Required CredentialsBasic understanding of AI, Arabic language skills, possibly some certification in AI or data labelingProficiency in Arabic, attention to detail, basic computer skills
Work EnvironmentRemote or office-based, working with AI models and training datasetsRemote or office-based, reviewing and annotating Arabic content
Employer & Industry UsageTech companies, AI development firms, data labeling servicesContent platforms, media companies, data annotation providers

Entry Level Arabic Ai Training focuses on preparing AI models by training them with Arabic language data, requiring some technical knowledge. In contrast, Entry Level Arabic Content Annotator involves reviewing and labeling Arabic content for accuracy, emphasizing language proficiency and attention to detail. Both roles are entry-level, often remote, and serve the tech and media industries, but they differ in technical complexity and daily tasks.

More about Entry Level Arabic Ai Training jobs
What cities are hiring for Entry Level Arabic Ai Training jobs? Cities with the most Entry Level Arabic Ai Training job openings:
What are the most commonly searched types of Arabic Ai Training jobs? The most popular types of Arabic Ai Training jobs are:
What job categories do people searching Entry Level Arabic Ai Training jobs look for? The top searched job categories for Entry Level Arabic Ai Training jobs are:
Entry Level Arabic Ai Training jobs near you
Infographic showing various Entry Level Arabic Ai Training job openings in the United States as of June 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $50,289 per year, or $24.2 per hour.
Project Perseus | Speech & Voice AI Analyst - Arabic Speakers

Project Perseus | Speech & Voice AI Analyst - Arabic Speakers

Welo Data

Sunnyvale, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Welo Data is looking for detail-oriented and reliable individuals to join their team as Speech & Voice AI Analysts, specifically seeking Arabic speakers. The role focuses on executing high-volume data labeling and annotation tasks across speech and voice datasets to support AI training pipelines.
Responsibilities:
• Execute high-volume data labeling and annotation tasks across speech and voice datasets
• Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
• Work with audio and language data, including transcription, categorization, and tagging
• Maintain strong throughput while meeting quality expectations
• Escalate unclear or ambiguous cases appropriately
• Adapt to evolving guidelines and workflows as systems and requirements change
• Support baseline data production needs for AI training pipelines
• Contribute to team calibrations and quality alignment sessions
Qualifications:
Required:
• Native-level fluency in Arabic
• Strong written communication skills and language fundamentals
• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
• Ability to follow detailed instructions and apply guidelines consistently
• High attention to detail and ability to maintain accuracy in repetitive tasks
• Comfort working in structured, process-driven environments
• Ability to manage time effectively and maintain steady output
• Willingness to ask questions and escalate when needed
Preferred:
• Basic familiarity with AI, speech technology, or language data is a plus
Company:
With 27+ years of experience, Welo Data is the human-centered infrastructure for globally effective AI. Founded in , the company is headquartered in , , with a team of 1001-5000 employees. The company is currently Late Stage.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.

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