Remote Hebrew Generative AI Analyst - Freelance

Welo Global; United States; Remote; USD 26,000 - 29,000; Part time

Benefits offered by this job

Limitless Flexibility

Limitless Growth

Limitless Support

Real Impact

Job summary

Welo Data is seeking a Generative AI Analyst for Hebrew-language content annotation on multilingual, multimodal AI projects. This remote, Israel-based opportunity is contract-based and pays hourly.

You’ll review and annotate AI-generated material across text, images, audio, and video, ensuring quality and adherence to guidelines. You will collaborate with a global community, contribute to calibration activities, and help refine annotation workflows to improve data quality for training advanced

Qualifications

• Native-level proficiency in Hebrew (Israel).
• Strong written English communication.
• Excellent attention to detail and analytical thinking.
• Experience in annotation, content review, quality assurance, data labeling, localization, or related fields.

Responsibilities

• Review, evaluate, and annotate AI-generated content across text, images, audio, and video.
• Perform quality checks to ensure accuracy, consistency, and compliance with project guidelines.
• Identify edge cases, inconsistencies, and opportunities for improvement.
• Contribute to the development of high-quality datasets used to train advanced AI models.
• Participate in calibration and quality alignment activities.
• Provide feedback to help improve workflows and annotation guidelines.

Skills

Hebrew proficiency

Attention to detail

English writing

Annotation experience

Quality assurance

Job description

Welo Data is seeking a Generative AI Analyst for Hebrew-language content annotation on multilingual, multimodal AI projects. This remote, Israel-based opportunity is contract-based and pays hourly.

You’ll review and annotate AI-generated material across text, images, audio, and video, ensuring quality and adherence to guidelines. You will collaborate with a global community, contribute to calibration activities, and help refine annotation workflows to improve data quality for training advanced