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AI Safety Content Evaluator, Arabic And English

Review AI-generated responses in Arabic and English, rate reasoning quality, and flag harmful or unsafe content. This fully remote contractor role pays $15-$40 per hour and requires 20 or more hours each week.

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OpenTrain AI

Generative AI & RLHF

100% Remote Hourly · $15–$40/hr

$15–$40/hr

Compensation

Worldwide

Eligibility

Intermediate

Experience

Apr 3, 2026

Posted

Open worldwide

The Work

You will review AI-generated responses and create safety-focused evaluation content in English and Arabic. Your work will help assess whether large language models produce accurate, safe, and clearly explained answers.

Some assignments may include explicit, sensitive, or disturbing material. You will follow strict safety guidelines and documentation standards when reviewing sexual, violent, psychologically disturbing, toxic, adversarial, or otherwise unsafe content.

  • Assess the quality of AI reasoning and written responses.
  • Annotate outputs that contain safety concerns.
  • Write evaluation content in English and Arabic.
  • Provide expert feedback on accuracy, safety, and clarity.
  • Review sensitive material while applying the required safety guidelines.

What It Pays And Takes

This is a fully remote, hourly contractor role. It is part time and requires at least 20 hours per week.

  • Pay: $15 to $40 USD per hour; the listing shows a $25 hourly rate.
  • Work arrangement: Fully remote.
  • Hours: 20 or more hours per week.
  • Employment type: Contractor and part time.
  • Languages: English and Arabic required.
  • Experience level: Intermediate.
  • You need strong language skills, critical judgment, and the ability to follow detailed safety and documentation rules.
  • The work may involve explicit sexual, violent, toxic, adversarial, or psychologically disturbing content.

How It Works

OpenTrain AI is the hiring and contracting organization for this role. Apply on OpenTrain, where the employer reviews applications.

About AI Training Work

AI training is the human work behind artificial intelligence. People review and label examples, rate model responses, and give feedback so AI systems learn to be more accurate, useful, and safe.

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