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A leading company in language and technology solutions is seeking Freelance Image Data Quality Specialists for an innovative AI project. The role is remote and involves reviewing images and associated data for accuracy while providing structured feedback. Ideal candidates are fluent in Arabic and have exceptional attention to detail. Flexible hours and training will be provided.
DataForce by TransPerfect is looking for Image Data Quality Specialists to contribute to an innovative Artificial Intelligence project.
Work Location: Remote/Work-from-home; US-based
Estimated Start Date: July 2025
Total Estimated Workload: 25 hours (spread over 3 weeks, based on data availability)
Hourly Rate: $16 USD
Hourly Throughput: 120 to 200 images
Preferred availability: Minimum 10 hours per week
Languages Needed: Arabic, English
Role Summary
As a Freelance Image Data Quality Specialist, you will review visual content and related data to ensure it meets specific accuracy and formatting standards. You will check image names and associated metadata, identify any issues, and provide structured feedback. This position is fully remote and offers flexible working hours.Training and detailed guidelines will be provided.
Role Responsibilities
Review and verify images and metadata for accuracy and completeness
Update internal trackers with progress and findings
Write brief, structured feedback on each reviewed package
Follow defined work processes and meet hourly performance targets
Idiomatic fluency in Arabic
Strong attention to detail and accuracy
Comfortable working with spreadsheets and digital files
Ability to work independently and follow written instructions
Experience in Quality Assurance, content review, or data processing is a plus
DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide.
We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching, and processing data for Machine Learning in different AI domains.