Hebrew Language Data Annotator for AI Insights

TEKsystems; United States; À distance; USD 28 000 - 34 000; Plein temps

Résumé du poste

TEKsystems is seeking professionally fluent Hebrew speakers for remote data annotation and evaluation of multilingual AI technologies. You will review, interpret, and annotate language data, ensuring cultural and linguistic accuracy and adherence to project guidelines from home in the United States.

Responsibilities include evaluating AI-generated language outputs, labeling data, and collaborating with project teams to sustain quality standards and continuous improvement across language-focused

Qualifications

• Professional-level proficiency in Hebrew, including speaking, reading, and writing.
• Strong understanding of regional dialects, colloquialisms, slang, and cultural nuances associated with the language.
• Excellent written and verbal communication skills.
• Strong analytical skills and attention to detail.
• Ability to interpret language according to defined guidelines and quality standards.
• Ability to work independently in a remote environment.

Responsabilités

• Review, evaluate, and annotate language and text-based data.
• Interpret written and spoken language while maintaining cultural and linguistic accuracy.
• Assess content for quality, relevance, and adherence to project guidelines.
• Evaluate AI-generated responses and language outputs.
• Support multilingual language and speech-related initiatives through data labeling and analysis.
• Identify linguistic patterns, inconsistencies, and areas for improvement.
• Perform annotation tasks with a high degree of accuracy and attention to detail.
• Collaborate with project teams to ensure quality standards are met.

Connaissances

Hebrew proficiency

Communication skills

Analytical skills

Remote work ability

Description du poste

TEKsystems is seeking professionally fluent Hebrew speakers for remote data annotation and evaluation of multilingual AI technologies. You will review, interpret, and annotate language data, ensuring cultural and linguistic accuracy and adherence to project guidelines from home in the United States.

Responsibilities include evaluating AI-generated language outputs, labeling data, and collaborating with project teams to sustain quality standards and continuous improvement across language-focused