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Synthetic Chemistry AI Trainer Specialist

Rise Data Labs

Full-time
2-5 years experience
Remote Only

Key Skills

Synthetic Chemistry
Chemical Processes
Chemical Methodologies
Data Annotation
Data Labeling
AI Model Training
AI Content Validation
Data Quality Assurance
Data Integrity
Analytical Skills
Attention to Detail
Independent Work
Machine Learning

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 Join Rise Data Labs as a Synthetic Chemistry AI Trainer Specialist, where you will play a crucial role in enhancing AI models by providing your expertise in synthetic chemistry. You will work collaboratively in a dynamic environment to train and improve AI through precise data annotation and validation. Key Responsibilities Train and improve AI models through comprehensive data annotation and labeling. Review and validate AI-generated content for accuracy and relevance in the field of synthetic chemistry. Provide domain expertise to enhance AI model performance and ensure data integrity. Engage in various AI training projects across multiple disciplines, contributing to a wide range of applications. Ensure high-quality data for machine learning applications by maintaining rigorous quality assurance standards. Required Skills And Qualifications Bachelor’s degree in Chemistry, Chemical Engineering, or a related field. Proven experience in synthetic chemistry with a strong understanding of chemical processes and methodologies. Familiarity with AI technologies and data annotation tools. Exceptional attention to detail and accuracy in data handling and content validation. Strong analytical skills and ability to work independently. Preferred Qualifications Master’s degree or PhD in Chemistry or a related field. Experience in AI model training and validation. Background in machine learning applications. Excellent communication and teamwork skills. What We Offer At Rise Data Labs, we value our employees and offer a collaborative work environment that encourages growth and innovation. We provide competitive hourly rates, flexible working hours, and opportunities for professional development in the exciting field of AI and data science.

Core Responsibilities

Annotate and label data to train and improve AI models, and review AI-generated content for accuracy and relevance in synthetic chemistry. Apply chemistry expertise and quality assurance standards to maintain data integrity and support AI training projects across disciplines.

Requirements

A bachelor’s degree in chemistry, chemical engineering, or a related field and proven synthetic chemistry experience are required, along with familiarity with AI technologies and data annotation tools. A master’s degree or PhD, experience in AI model training and validation, and a background in machine learning are preferred.

Benefits

  • Competitive Hourly Rates
  • Flexible Working Hours
  • Professional Development Opportunities

About Rise Data Labs

Industry: Software Development

Company size: 2-10 employees

Rise Data Labs powers the future of AI with 500K+ US-based talent trained to deliver the highest quality data labeling, annotation, and evaluation services. We combine elite human expertise with automation to help teams train, test, and improve AI models faster and more reliably. From reinforcement learning with human feedback (RLHF) to large-scale image, video, and text annotation, our vetted workforce provides the human-in-the-loop precision that AI companies need to compete. Unlike offshore click-work, Rise Data Labs delivers context-aware, culturally nuanced annotations that align with the demands of cutting-edge generative AI. Whether you’re building frontier models, fine-tuning domain-specific LLMs, or running large-scale evals, Rise Data Labs ensures your AI is powered by clean, consistent, and trustworthy training data. We’re raising the bar for what reliable AI data should look like. Visit risedatalabs.com to learn how we can support your AI development.

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