AI Training Specialist - Python/Typescript Engineer
Key Skills
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, you will play a critical role in enhancing the performance of our AI models through meticulous data annotation and labeling. You will leverage your expertise in Python and Typescript to contribute to various AI training projects across different domains, ensuring the highest quality data for machine learning applications. Key Responsibilities Train and improve AI models through effective data annotation and labeling. Review and validate AI-generated content for accuracy and relevance. Provide domain expertise to enhance the performance and reliability of AI models. Collaborate with cross-functional teams to execute various AI training initiatives. Ensure high-quality data for machine learning applications by adhering to established guidelines and best practices. Required Skills And Qualifications Proficiency in Python and Typescript. Strong understanding of machine learning principles and data annotation techniques. Excellent attention to detail and a commitment to quality assurance. Ability to work independently and as part of a team in a fast-paced environment. Preferred Qualifications Experience in AI model training and evaluation. Familiarity with data visualization tools and techniques. Background in a relevant field such as computer science, data science, or artificial intelligence. What We Offer We provide a dynamic work environment, opportunities for professional growth, and competitive compensation. Join us to be part of innovative projects that shape the future of AI.
Core Responsibilities
Annotate and label data to train and improve AI models, and review and validate AI-generated content for accuracy and relevance. Apply domain expertise and collaborate with cross-functional teams to deliver high-quality training data in accordance with established guidelines.
Requirements
Candidates must be proficient in Python and TypeScript and understand machine learning principles and data annotation techniques. Strong attention to detail, commitment to quality, and the ability to work independently and collaboratively are required; experience with AI model training and evaluation, data visualization, or a relevant academic background is preferred.
Benefits
- Professional Growth Opportunities
- Competitive Compensation
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.