AI Analyst (Arabic)

You will help improve language models by analyzing Arabic and English content, checking answers, and explaining what makes a response correct or weak. The work combines research, writing, reasoning, and detailed feedback.

You will work independently in a remote setting on tasks that support model training and evaluation.

• Read and summarize substantial Arabic and English content into clear, logical sections.
• Research information online and verify claims in analytical material.
• Answer questions involving data interpretation, logical reasoning, and basic arithmetic.
• Create scenarios and examples that expose model weaknesses and support improvement.
• Solve reasoning puzzles and explain the logic behind each answer.
• Review model outputs, identify errors or ambiguity, and provide constructive feedback and detailed annotations.

The listing does not provide a USD pay rate. This is a part-time contractor assignment, and the engagement may be extended based on performance and project needs.

• Workload: 20+ hours per week.
• Location: Remote and open worldwide.
• Languages: Working capability in both Arabic and English is required.
• Level: Entry level.
• Work arrangement: Part-time contractor assignment.
• You need strong analytical, research, critical-thinking, writing, and communication skills.
• You should be able to interpret data, explain conclusions clearly, think creatively, and work independently.
• A reliable desktop or laptop computer and internet connection are required.
• Helpful background includes a bachelor's degree or current undergraduate study in engineering, literature, journalism, communications, arts, statistics, or a related field.
• Relevant experience in business analysis, research, journalism, technical writing, editing, or translation may qualify.
• Familiarity with Excel, Google Suite, data interpretation, logical reasoning, and basic arithmetic is useful.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training work is the human side of building artificial intelligence. People review model responses, check facts, summarize information, and provide examples and feedback so models learn to be more accurate and useful; experienced contributors are valued for clear judgment and subject knowledge.