Remote AI Trainer + Data Labeler (Croatia/Serbia/US)

Welo Global

United States

Remoto

USD 34.000 - 62.000

Tempo integral

Há 2 dias
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Currículo e carta de apresentação personalizados, prontos para serem enviados.

Passe pelos filtros ATS

Benefícios oferecidos por esta vaga

Flexible remote work
Project-based assignments
Clear project scopes and timelines
Global contributor community
Compensation provided before each task

Resumo da vaga

Welo Global is seeking contributors with native Croatian or near-native fluency and strong English skills to annotate, evaluate, and improve AI systems. This remote, project-based opportunity invites individuals from Croatia, Serbia, or the United States to join a global community and work with flexible timelines.

Participants will label data, test prompts, and review content for accuracy across languages and domains.

Qualificações

  • Croatian native or near-native fluency required.
  • Based in Croatia, Serbia, or the United States.
  • English proficiency required.
  • Comfort with digital tools.
  • Strong attention to detail and curiosity about technology.
  • Availability for project-based assignments of varying lengths.

Responsabilidades

  • Annotate or label text, images, and audio to train AI systems.
  • Evaluate search results, advertisements, and chatbot responses for quality and relevance.
  • Create and test prompts to improve large language models (LLMs).
  • Review content for cultural, linguistic, and industry-specific accuracy.
  • Complete project tasks according to the provided scope, timeline, and requirements.

Conhecimentos

Croatian proficiency
English proficiency

Descrição da vaga

Welo Global is seeking contributors with native Croatian or near-native fluency and strong English skills to annotate, evaluate, and improve AI systems. This remote, project-based opportunity invites individuals from Croatia, Serbia, or the United States to join a global community and work with flexible timelines.

Participants will label data, test prompts, and review content for accuracy across languages and domains.

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