French AI Training Specialist (Remote) | Growth & Impact

BAM Ventures

New York (NY)

Remote

USD 50,000 - 80,000

Full time

14 days+

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Benefits offered by this job

Remote-first work environment
Flexible schedule

Job summary

Rise Data Labs is seeking a detail-oriented AI Training Specialist fluent in French to join our dynamic team. You will train and improve AI models through comprehensive data annotation and labeling, reviewing AI-generated content for accuracy, and contributing domain expertise to enhance model performance across diverse projects.

Ideal candidates will have strong French language skills, a solid understanding of AI/ML concepts, and a meticulous approach to quality assurance.

Qualifications

  • Fluency in French (written and spoken).
  • Strong understanding of AI and machine learning concepts.
  • Exceptional attention to detail and a commitment to quality assurance.
  • Proficiency in data annotation tools and software.
  • Ability to work independently and collaboratively in a fast-paced environment.

Responsibilities

  • Train and improve AI models through effective data annotation and labeling.
  • Review and validate AI-generated content for accuracy and relevancy.
  • Provide domain expertise to enhance AI model performance.
  • Work on various AI training projects across diverse fields.
  • Ensure high-quality data for machine learning applications.

Skills

French fluency
AI/ML concepts
Attention to detail
Data annotation tools
Independent and collaborative work

Education

Linguistics background
Computer Science background

Job description

Rise Data Labs is seeking a detail-oriented AI Training Specialist fluent in French to join our dynamic team. You will train and improve AI models through comprehensive data annotation and labeling, reviewing AI-generated content for accuracy, and contributing domain expertise to enhance model performance across diverse projects.

Ideal candidates will have strong French language skills, a solid understanding of AI/ML concepts, and a meticulous approach to quality assurance.

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