AI Training Specialist: CS Expert (Remote & Flexible)

Rise Data Labs; New Zealand; Remote; NZD 60,000 - 90,000; Full time

Benefits offered by this job

Flexible working hours

Competitive compensation

Job summary

Rise Data Labs is seeking an AI Training Specialist to enhance model performance through expert data annotation and validation. You will leverage computer science domain knowledge to ensure accuracy and quality across diverse projects.

The role emphasizes high attention to detail, collaboration with cross-functional teams, and applying ML concepts to real-world datasets. A remote-first environment enables global participation and flexible hours.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or 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.

Responsibilities

• 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.

Education

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

Strong understanding of AI and machine learning concepts

Experience with data annotation tools and techniques

Attention to detail and quality assurance skills

Excellent communication skills and ability to work collaboratively

Experience in training AI models or conducting data analysis

Familiarity with Python or R

Knowledge of statistical analysis and data visualization techniques

Master's degree in a relevant field

Job description

Rise Data Labs is seeking an AI Training Specialist to enhance model performance through expert data annotation and validation. You will leverage computer science domain knowledge to ensure accuracy and quality across diverse projects.

The role emphasizes high attention to detail, collaboration with cross-functional teams, and applying ML concepts to real-world datasets. A remote-first environment enables global participation and flexible hours.