Remote Maltese AI Annotator & Prompt Creator

Jobgether SRL; Turkey; Remote; TRY 1,474,000 - 2,948,000; Full time

Benefits offered by this job

Flexible remote opportunities

Global contributor network

Project-based assignments

Job summary

Lever, Inc. is seeking Maltese-speaking contributors located in Turkey to support AI training projects on a flexible, remote basis. Join a global network to annotate, evaluate, and prompt-test AI systems, applying linguistic insight and cultural awareness.

Projects range from short to multi-week engagements, with information and compensation disclosed before participation. Work independently on diverse tasks across annotation, evaluation, and prompt creation, shaping inclusive AI systems.

Qualifications

• Native or near-native fluency in Maltese.
• Strong English proficiency for understanding project instructions and communicating effectively.
• Comfortable working with digital tools and online platforms.

Responsibilities

• Annotate and label data for AI training across text, images, audio, or other formats.
• Evaluate AI outputs for quality, relevance, and accuracy from a Maltese-language perspective.
• Create, test, and refine prompts for large language models.
• Review content for linguistic, cultural, and contextual accuracy, particularly Maltese context.
• Apply detailed project guidelines consistently while maintaining high standards of accuracy and quality.
• Adapt to projects with different scopes, requirements, timelines, and levels of complexity.
• Review project instructions and determine whether assignments align with skills and availability.

Skills

Maltese fluency

English proficiency

Tools

Online platforms

Job description

Lever, Inc. is seeking Maltese-speaking contributors located in Turkey to support AI training projects on a flexible, remote basis. Join a global network to annotate, evaluate, and prompt-test AI systems, applying linguistic insight and cultural awareness.

Projects range from short to multi-week engagements, with information and compensation disclosed before participation. Work independently on diverse tasks across annotation, evaluation, and prompt creation, shaping inclusive AI systems.