Retail Operations AI Training Specialist - Task Creation & Model Evaluation (Contract)
- Canada
Contract
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Job details
- Job type
- Contract
- Posting language
- English
- Posted
Original 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
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
- 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
More about this job
Responsibilities
Create realistic retail task scenarios and clear evaluation rubrics based on professional experience. Assess AI-generated documents and reports against those rubrics and participate in evaluator calibration sessions.
Requirements
Preferred candidates have hands-on experience in retail operations, store or district management, merchandising, or a licensed retail specialty. They should be comfortable writing and reviewing operational or client-facing documents; experience with AI training, evaluation, or benchmark development is a plus.
Skills
- Retail Operations
- Store Management
- District Management
- Merchandising
- Task Creation
- Rubric Development
- AI Model Evaluation
- Benchmark Development
- Quality Assurance
- Operational Writing
- Document Review
- Calibration
- Scoring
- Data Annotation
Benefits
- Professional Development Opportunities
Visa sponsorship
Not detected in the job text
Categories
- Retail
- Data & Analytics
- Technology
Keywords
- Retail Operations
- AI Training
- Data Annotation
- Benchmark Task Creation
- Model Evaluation
- Task Scenarios
- Evaluation Rubrics
- AI-Generated Deliverables
- Retail
- Merchandising
- Store Management
- District Management
- Pharmacy
- Operational Reports
- Client-Facing Communication
- Customer-Facing Communication
- Quality Assurance
- Calibration Sessions
- Scoring Standards
- Document Review
- Machine Learning
- Training Data