AI Linguist - Farsi Talent Hub - Remote
About the Role
We are looking for an AI Linguist - Farsi Talent Hub - Remote to join our dynamic team at Welocalize. In this role, you will contribute to high-quality language data projects that enhance AI systems, making a significant impact on millions of lives. As an AI Linguist, you will work on diverse language-focused tasks including annotation and evaluation, all while enjoying the flexibility to work on your terms and schedule.
What You'll Do
- Contribute to AI projects that require your Farsi language expertise.
- Engage in various language-focused tasks such as annotation and evaluation.
- Participate in a qualification process for task-based projects.
- Receive training and assessments to enhance your skills for upcoming projects.
- Collaborate with a vibrant community of language enthusiasts and technologists.
Requirements
- Native or near-native fluency in Farsi.
- Proficient in English, both written and spoken.
- Detail-oriented and eager to learn.
- Comfortable using digital tools and working remotely.
- Open to various language-focused tasks.
Nice to Have
- Experience in AI or linguistics.
- Familiarity with language data projects.
- Previous freelance experience.
What We Offer
- Flexible scheduling to work on your terms.
- Access to a global community of linguists.
- Opportunities to grow and deepen your expertise.
- Contribute to meaningful AI projects that impact lives.
- Be the first to access projects that match your skills.
This AI Linguist role at Welocalize offers a unique opportunity to work remotely with flexible hours while contributing to impactful AI projects.
Who Will Succeed Here
Proficient in both Farsi and English, with a strong understanding of linguistic nuances and cultural context to accurately annotate and evaluate AI language data.
Self-motivated and organized, thriving in a remote work environment while managing multiple tasks such as annotation and evaluation with minimal supervision.
Familiarity with digital tools used in language processing, such as annotation software and data evaluation platforms, combined with a keen analytical mindset for assessing AI outputs.
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