Retail Operations AI Training Specialist — Task Creation & Model Evaluation (Contract)
Retail Operations AI Training Specialist — Task Creation & Model Evaluation (Contract)
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 retail operations, merchandising, and store management. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data. Job Overview As a Retail Operations AI Training Specialist at Rise Data Labs, you will play a crucial role in training and enhancing AI models specifically tailored for the retail domain. This role centers on benchmark task creation and evaluation: you'll author realistic, economically valuable retail tasks and rubrics based on your own professional experience, then grade AI-generated deliverables against them. What You'll Do Create realistic task scenarios based on your professional experience - e.g., writing an operations report, reviewing a merchandising plan, drafting client- or customer-facing communication, or handling a specialized professional task Write clear rubrics for what a correct, professional-quality deliverable looks like Grade AI-generated deliverables (often PDFs, Word documents, or short reports) against your rubric Join calibration sessions with other evaluators to align scoring standards across the benchmark Preferred Qualifications Prior hands-on experience in retail operations, store or district management, merchandising, or a licensed retail specialty (e.g., pharmacy) Comfort writing and reviewing operational or client-facing documents Prior experience with AI model training, evaluation, or benchmark development is a plus What We Offer At Rise Data Labs, we value our contributors and strive to create a supportive, flexible working environment. We offer opportunities for professional development in the AI field and the chance to work on innovative projects that directly shape the future of AI in retail work.
Core Responsibilities
Create realistic, economically valuable retail task scenarios and clear evaluation rubrics based on professional experience. Assess AI-generated documents and reports against those rubrics, and participate in calibration sessions to align scoring standards.
Requirements
Preferred candidates have hands-on experience in retail operations, store or district management, merchandising, or a licensed retail specialty such as pharmacy. They should be comfortable writing and reviewing operational or client-facing documents; experience with AI training, evaluation, or benchmark development is a plus.
Benefits
- Flexible Working Environment
- 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.