Portuguese Cardiologist Medical Students / Doctors

Deepllmdata; Teletrabalho; BRL 160.000 - 200.000; Tempo parcial

Resumo da oferta

A data enhancement company is seeking remote Cardiologist Medical Students or Doctors who are fluent in Portuguese. The role involves generating, reviewing, and enriching specialized medical data in the field of cardiology. Candidates should have a strong background in Cardiology and demonstrate attention to detail to ensure the accuracy of the data. If you are passionate about contributing to medical data quality, this opportunity is for you.

Qualificações

• Specialized knowledge in Cardiology and related disciplines.
• Proficiency in Portuguese (reading, writing, speaking).
• Strong attention to detail, focusing on accuracy and quality of data.

Responsabilidades

• Generate, review, and enrich medical data specific to cardiology.
• Utilize expertise to ensure accuracy and relevance of data.

Conhecimentos

Knowledge in Cardiology

Portuguese proficiency

Attention to detail

Descrição da oferta de emprego

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Company Description DeepLLMData specializes in empowering frontier models with human-generated expert data. Our expertise spans coding SFT, RLHF, STEM fields, PhD-level research, and domain-specific knowledge. We offer image and video annotatorsています, as well as comprehensive data provisioning services for image and video-based projects. By using our precise and expert-guided data, we help innovate and була advance AI systemsofstream.>

Role پيش_description

This is a remote, contract copie‐based role for Portuguese‑speaking Cardiologist Medical Students or Doctors. In this position, you will contribute to generating, reviewing, and enriching medical data specific to cardiology. Your tasks will involve utilizing your expertise in specialized areas of medicine, ensuring the accuracy and relevance of data across different cardiology subfields.>

Qualifications

• Specialized knowledge in Cardiology and related disciplines


• Portuguese language proficiency (reading, writing, and speaking)


• Attention to detail with a focus on data accuracy and quality