AI Training Specialist - STEM Focus

Risedatalabs; United States; Remote; USD 25,000 - 39,000; Full time

Benefits offered by this job

Competitive hourly rate

Flexible working hours

Remote work opportunities

Training resources

Job summary

Rise Data Labs is seeking an AI Training Specialist focused on STEM to meticulously annotate and label data, helping improve AI models and ensure accuracy across diverse domains.

You will collaborate with cross-functional teams, applying domain expertise to enhance AI projects while contributing to high-quality training data in a remote-first environment.

Qualifications

• Bachelor's degree in a STEM field or equivalent experience.
• Strong attention to detail and a commitment to quality assurance.
• Experience in data annotation, labeling, or AI training processes.
• Proficient in using data annotation tools and software.
• Excellent analytical and problem-solving skills.

Responsibilities

• Train and improve AI models through data annotation and labeling.
• Review and validate AI-generated content for accuracy and consistency.
• Provide domain expertise to enhance STEM-related AI projects.
• Collaborate with cross-functional teams on AI training projects.
• Ensure high-quality data for machine learning applications through QA processes.

Skills

Data annotation

AI training

Attention to detail

Analytical thinking

Education

Bachelor's degree in STEM

Advanced degree in STEM

Job description

About Rise Data Labs

Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation.

Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.

At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting-edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote-first approach allows experts from around the world to participate in shaping the future of AI.

Job Overview

As an AI Training Specialist with a focus on STEM (Science, Technology, Engineering, and Mathematics), you will play a crucial role in enhancing our AI models through meticulous data annotation and labeling. Your expertise will help us train and validate AI systems to ensure they produce accurate, reliable content across various domains.

Key Responsibilities

• Train and improve AI models through comprehensive data annotation and labeling.
• Review and validate AI-generated content for accuracy and consistency.
• Provide domain expertise to enhance AI model performance in STEM-related projects.
• Collaborate with cross-functional teams on various AI training projects across different fields.
• Ensure high-quality data for machine learning applications through rigorous quality assurance processes.

Required Skills and Qualifications

• Bachelor's degree in a STEM field or equivalent experience.
• Strong attention to detail and a commitment to quality assurance.
• Experience in data annotation, labeling, or AI training processes.
• Proficient in using data annotation tools and software.
• Excellent analytical and problem-solving skills.

Preferred Qualifications

• Advanced degree in a STEM field.
• Familiarity with machine learning concepts and AI model development.
• Experience working on interdisciplinary teams.
• Knowledge of data privacy and ethical considerations in AI.

What We Offer

• Competitive hourly rate, reflective of your experience and expertise.
• Flexible working hours and remote work opportunities.
• Access to ongoing training and professional development resources.
• Collaborative and innovative work environment.