AI Training Specialist | Data Annotation Expert (Remote)

BAM Ventures; New York (NY); À distance; USD 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Flexible working hours

Remote-first environment

Résumé du poste

Rise Data Labs is seeking an AI Training Specialist to enhance AI models through expert data annotation and validation. The role leverages your computer science knowledge to ensure accuracy across diverse projects and domains.

You will work in a remote-first environment, collaborating with cross-functional teams to deliver high-quality training data and robust model performance for machine learning applications.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Strong understanding of AI and machine learning concepts.
• Experience with data annotation tools and techniques.
• Exceptional attention to detail and quality assurance skills.
• Excellent communication skills and ability to work collaboratively.

Responsabilités

• Train and improve AI models by providing high-quality data annotation and labeling.
• Review and validate AI-generated content for accuracy and relevance.
• Provide domain expertise to enhance AI model performance and reliability.
• Collaborate with cross-functional teams on various AI training projects.
• Ensure high-quality data for machine learning applications through attention to detail.

Connaissances

Bachelor's degree in Computer Science,

Strong understanding of AI and ML

Data annotation expertise

Attention to detail

Excellent communication

Formation

Bachelor's degree in Computer Science, Data Science, or a related field

Outils

Data annotation tools

Description du poste

Rise Data Labs is seeking an AI Training Specialist to enhance AI models through expert data annotation and validation. The role leverages your computer science knowledge to ensure accuracy across diverse projects and domains.

You will work in a remote-first environment, collaborating with cross-functional teams to deliver high-quality training data and robust model performance for machine learning applications.