AI Trainers Network - Maltese (Fully Remote)

AI Trainers Network; United States; Remote; USD 17,000 - 28,000; Full time

Job summary

AI Trainers Network seeks contributors to annotate data, evaluate AI outputs, and craft prompts for large language models. Join a global, remote, project-based team with assignments lasting from a few days to several weeks and clear scope and compensation.

You will work independently, follow guidelines, and help improve AI systems' accuracy and inclusivity. Fluency in English is required and Maltese skills are highly valued.

Qualifications

• Native or near-native Maltese fluency with strong English proficiency.
• Excellent attention to detail and ability to follow guidelines.
• Comfortable with digital tools and independent remote work.

Responsibilities

• Annotate and label data to improve AI systems.
• Evaluate AI-generated content for quality, relevance, and accuracy.
• Create and test prompts for large language models.

Skills

Maltese language proficiency

English proficiency

Job description

• Contribute to AI training projects through annotation, evaluation, and prompt creation.
• Work on assignments ranging from a few days to several weeks, with clear scope and compensation.

Responsibilities:

• Annotate and label data to improve AI systems.
• Evaluate AI-generated content for quality, relevance, and accuracy.
• Create and test prompts for large language models.

Requirements:

• Native or near-native Maltese fluency and strong English proficiency.
• Strong attention to detail and ability to follow guidelines.
• Comfortable with digital tools and independent remote work.
• Flexible remote opportunities tailored to your skills and availability.
• Gain experience in AI annotation, evaluation, and prompt creation.
• Be part of a global contributor community.

AI Trainers Network

Our partner is a global contributor network that provides flexible remote AI projects focused on annotation, evaluation, and prompt creation. The work is independent, project-based, and aims to improve the accuracy, relevance, and inclusivity of AI systems.