Saudi Arabic Text Quality Inspector (AI Language Project)
Job Description
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Help AI understand and produce natural, accurate Saudi Arabic!
We are looking for native Saudi Arabic speakers to join a text quality inspection project. You’ll review target-language text against the original text and identify issues related to naturalness, grammar, meaning, spelling, numbers, symbols, and overall text quality.
What you’ll do
- ✓ Review Saudi Arabic text against the original text
- ✓ Check whether the text sounds natural, authentic, and appropriate in Saudi Arabic
- ✓ Identify grammar and semantic errors
- ✓ Check whether words are written in the correct standard form
- ✓ Review numbers and special symbols based on the required formatting conventions
- ✓ Identify unclear, incomplete, unnatural, or otherwise problematic sentences
- ✓ Flag errors accurately and consistently according to the project guidelines
What you’ll get
- ✓ $0.020 USD per completed unit
- ✓ Fully remote, work-from-home opportunity
- ✓ ⏰ Work approximately 3–4 hours per day
- ✓ Gain experience contributing to AI and language technology projects
What you’ll need
- ✓ Native speaker of Saudi Arabic
- ✓ Strong understanding of Arabic grammar, spelling, and standard written forms
- ✓ Good English skills to read project guidelines and communicate with the team
- ✓ Previous text or audio transcription experience is preferred
- ✓ Strong attention to detail and ability to identify language errors
- ✓ Availability to work 3–4 hours per day
This role is a project-based opportunity with CrowdGen, where you will join the CrowdGen Community as an Independent Contractor.
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CrowdGen
View Company ProfileCrowdGen is the flagship global contributor platform powered by Appen, an industry-leading data and machine learning company. Operating as a massive, decentralized remote workforce engine, the platform fundamentally democratizes AI development by connecting tech enterprises with over 1 million remote contributors across 200 countries and 500+ languages. Under the hood, CrowdGen powers the intensive data annotation, sentiment analysis, and Reinforcement Learning from Human Feedback (RLHF) required to train the world's most advanced Large Language Models (LLMs) and computer vision systems. Contributors get paid flexibly to complete highly specific micro-tasks—ranging from evaluating search engine accuracy and fact-checking social media content to recording voice samples and testing VR hardware. Their primary target audience includes leading tech giants, AI research labs, and enterprise data science teams that desperately need massive amounts of high-fidelity, human-verified data to remove AI bias and improve model accuracy. What sets CrowdGen apart in the rapidly expanding gig economy is its deep ethical commitment to fair remote compensation and its unparalleled ability to seamlessly deploy a highly diverse, global talent pool to solve incredibly complex machine learning bottlenecks at scale.
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