AI Training Specialist (Remote) — Spanish-Speaking Scientist

Rise Data Labs

New York (NY)

À distance

USD 21 000 - 39 000

Plein temps

14 jours+

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Résumé du poste

Rise Data Labs is seeking an AI Training Specialist to annotate and label data, review AI-generated content for accuracy, and provide science-domain insights to improve model training. This remote-first role welcomes experts from around the world, with flexible schedules and competitive hourly rates.

You will work independently on diverse AI training projects, delivering high-quality data and adhering to established guidelines to support machine learning initiatives.

Qualifications

  • Bachelor's degree in a scientific field (Biology, Chemistry, Physics, etc.) or equivalent experience.
  • Fluency in Spanish (Latin America) with strong communication skills.
  • Experience in data annotation and labeling for AI training.
  • Attention to detail and commitment to quality assurance.
  • Ability to work independently and meet deadlines.

Responsabilités

  • Annotate and label datasets to facilitate AI model training.
  • Review and validate AI-generated content to ensure accuracy and relevance.
  • Provide domain expertise in science to enhance AI model performance.
  • Work on various AI training projects across different industries.
  • Ensure high-quality data for machine learning applications by adhering to best practices and guidelines.

Connaissances

Spanish (Latin America)
Data annotation
Attention to detail
Deadline orientation
Independent work

Formation

Bachelor's degree in a scientific field

Description du poste

Rise Data Labs is seeking an AI Training Specialist to annotate and label data, review AI-generated content for accuracy, and provide science-domain insights to improve model training. This remote-first role welcomes experts from around the world, with flexible schedules and competitive hourly rates.

You will work independently on diverse AI training projects, delivering high-quality data and adhering to established guidelines to support machine learning initiatives.

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