Remote AI Training & Data Annotation Specialist

Risedatalabs; United States; Remote; USD 60,000 - 90,000; Full time

Job summary

Rise Data Labs is seeking an AI Training Implementation Specialist to strengthen our AI models through meticulous data labeling and validation. You will apply domain expertise to ensure accuracy across multiple projects and collaborate with cross-functional teams to meet client requirements.

The role emphasizes independent work in a remote-first environment with flexible collaborations. A strong background in data science, annotation, and ML concepts will help you contribute effectively to

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Experience in data annotation or labeling.
• Strong attention to detail and commitment to quality assurance.
• Ability to work independently and collaboratively in a team.
• Excellent analytical and problem-solving abilities.
• Familiarity with AI concepts and ML processes is a plus.

Responsibilities

• Train and improve AI models through precise data annotation and labeling.
• Review and validate AI-generated content for accuracy and compliance with project specifications.
• Provide domain expertise to enhance AI model performance and reliability.
• Collaborate with cross-functional teams to ensure alignment with project goals and deliverables.
• Maintain high standards of quality assurance in data used for machine learning applications.
• Work on various AI training projects, adapting methodologies to meet diverse client needs.

Skills

Data annotation

Attention to detail

Analytical skills

Team collaboration

Independent work

AI concepts

Education

Bachelor's degree in a relevant field

Tools

Python

R

Job description

Rise Data Labs is seeking an AI Training Implementation Specialist to strengthen our AI models through meticulous data labeling and validation. You will apply domain expertise to ensure accuracy across multiple projects and collaborate with cross-functional teams to meet client requirements.

The role emphasizes independent work in a remote-first environment with flexible collaborations. A strong background in data science, annotation, and ML concepts will help you contribute effectively to