Materials Science AI Training Specialist
Rise Data Labs Β· 100% remote Β· Contract Β· Posted
- Pay
- $25β45/hr
- Location
- Worldwide
- Languages
- English
- Hours
- Flexible
- Openings
- Not listed
- Level
- Expert
Summary
Annotate materials science data and validate AI-generated content for accuracy and relevance. Apply knowledge of materials and engineering standards to improve AI models and training datasets.
What you'll do
- Annotate and label materials science and engineering data
- Validate AI-generated content for accuracy and relevance
- Provide materials science expertise
- Collaborate with teams on AI training projects
- Support data quality and continuous improvement
Requirements
- Bachelor's or master's degree in Materials Science, Engineering, or a related field
- Strong understanding of materials properties, processing methods, and applications
- Experience in data annotation, labeling, or AI model training
- Attention to detail and quality assurance skills
- Proficiency in annotation tools
- Strong written and verbal communication
- Preferred: familiarity with Python or MATLAB
- Preferred: materials science research or industry experience
Skills
- Materials Science
- Materials Processing
- Data Annotation
- AI Model Training
- Quality Assurance
- Annotation Tools
- Python
- MATLAB
Full 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
Rise Data Labs is seeking a detail-oriented and knowledgeable Materials Science AI Training Specialist to join our team. In this role, you will play a crucial part in training and improving AI models through expert data annotation and labeling. Your domain expertise will be vital in enhancing the performance of our AI systems across various projects.
Key Responsibilities
- Train and improve AI models through precise data annotation and labeling in the field of materials science and engineering.
- Review and validate AI-generated content for accuracy and relevance.
- Provide domain expertise to enhance AI model performance and ensure alignment with industry standards.
- Collaborate with cross-functional teams on diverse AI training projects.
- Ensure high-quality data for machine learning applications and contribute to continuous improvement initiatives.
Required Skills and Qualifications
- Bachelor's or Master's degree in Materials Science, Engineering, or a related field.
- Strong understanding of materials properties, processing methods, and applications.
- Experience in data annotation, labeling, or AI model training.
- Exceptional attention to detail and quality assurance skills.
- Proficient in using annotation tools and software.
- Excellent communication skills, both written and verbal.
Preferred Qualifications
- Hands-on experience with AI and machine learning concepts.
- Familiarity with programming languages such as Python or MATLAB.
- Previous experience in a research or industry setting related to materials science.
What We Offer
At Rise Data Labs, we foster a collaborative and innovative work environment. Our team enjoys competitive hourly rates, opportunities for professional growth, and the chance to work on cutting-edge AI projects that make a real impact in the industry.
Location: Global - All countries welcome (remote).
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