AI Language Data Evaluator - German Talent Hub (Remote)
About the Role
Join Welo Data as an AI Language Data Evaluator - Remote, where you will work on diverse projects to enhance AI models using high-quality language data. This role is remote and offers flexibility in hours, allowing you to work when and where you want.
What You'll Do
- Evaluate German language data for quality and relevance.
- Assess machine translations from English to German.
- Provide feedback to improve online search experiences.
- Work on various annotation and evaluation projects.
- Join a global community of linguists and contributors.
- Contribute to inclusive AI technology.
- Maintain confidentiality regarding project information.
- Utilize digital tools and research skills effectively.
Requirements
- Native-level or near-native proficiency in German.
- Good English proficiency.
- Strong understanding of linguistic nuances and cultural context.
- Detail-oriented with excellent concentration skills.
- Reliable computer system and internet connection.
- Ability to follow instructions and project conventions.
- Curiosity and willingness to learn.
Nice to Have
- Experience in AI or machine learning projects.
- Familiarity with digital annotation tools.
- Prior experience in language evaluation or data analysis.
What We Offer
- Flexible project duration based on demand.
- Opportunities for growth and development.
- Be part of a supportive global community.
- Contribute to the development of smarter AI.
- Work when and where you want.
This remote AI Language Data Evaluator role at Welocalize offers flexibility and the chance to work on impactful AI projects. Join a supportive community and enhance your skills.
Who Will Succeed Here
Proficient in both German and English with a strong understanding of linguistic structures, enabling nuanced evaluations of language data and machine translations.
Detail-oriented and self-motivated, capable of managing time effectively while working remotely, ensuring high-quality evaluations within flexible schedules.
Familiarity with digital tools like Google Sheets and language evaluation platforms, alongside a research-oriented mindset to assess and provide feedback on AI language models.
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