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Data Analytics Arabic Jobs (NOW HIRING)

CSM Solutions Inc

Arabic - Yemeni Linguist

Augusta, GA · On-site

... analyze foreign language documents and intercepted data for key information; and must be able to ... Working proficiency in Arabic-Yemeni Dialect is required. Security Requirements: * Must have at ...

Inter Sources Inc

Language Specialist

Sunnyvale, CA · On-site

In the process, we have enabled companies use data analytics to help better understand, predict and ... Must be fluent in verbal and written in English and any one (Arabic, Bulgarian, Catalan, Chinese ...

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How much do data analytics arabic jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for data analytics arabic in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics professional specializing in Arabic, and why are they important?

To thrive as a Data Analytics professional specializing in Arabic, you need strong analytical skills, proficiency in statistics, and fluency in both Arabic and English, often supported by a degree in data science, mathematics, or a related field. Familiarity with tools like SQL, Python, Excel, and data visualization platforms such as Tableau or Power BI is typically required, along with certifications in data analytics. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for translating complex data insights across linguistic and cultural contexts. These skills and qualities enable accurate data interpretation and effective decision-making for organizations working with Arabic-language datasets.

What is Data Analytics in Arabic and what do professionals in this field do?

Data Analytics in Arabic refers to the process of examining datasets in Arabic or from Arabic-speaking regions to draw conclusions about the information they contain. Professionals in this field use statistical techniques, programming, and data visualization tools to analyze data, identify trends, and provide actionable insights for decision-making. They may work with businesses, governments, or organizations to help improve performance, understand customer behavior, or solve specific problems. Fluency in Arabic and understanding of cultural context are important, as is proficiency in analytical tools. Common tasks include data cleaning, modeling, and reporting results in a way that is accessible to stakeholders.

What are some common challenges faced by professionals in Data Analytics roles that require Arabic language skills?

Professionals in Data Analytics roles with Arabic language requirements often encounter challenges such as working with unstructured data in Arabic, which can involve complex dialects and variations in script. Additionally, they may need to ensure that data visualizations and reports are accurately localized for Arabic-speaking stakeholders, which includes adapting formats and aligning with cultural nuances. Collaboration with cross-functional teams across different regions can also present communication and time zone hurdles, but it offers valuable opportunities for building cultural competence and expanding professional networks.
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Infographic showing various Data Analytics Arabic job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Project Perseus \u007C Speech & Voice AI Analyst - Arabic Speakers

Project Perseus \u007C Speech & Voice AI Analyst - Arabic Speakers

Welo Data

Washington, DC

$26 - $28/hr

Full-time

Posted yesterday

Be an early applicant

Job description

Overview

Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.

This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.

While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.

We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.

Project Details
  • Job Title: Data Labeling Analyst
  • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) 
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $26 - $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.
What You’ll Do
  • 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 
What We’re Looking For
  • 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
  • Basic familiarity with AI, speech technology, or language data is a plus 
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
 Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Why This Role

This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.

It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.


Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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.