Evaluate AI model outputs using data science, statistics, machine learning, and quantitative reasoning expertise. This work is focused on rigorous technical review. As a Junior Data Scientist, you will assess model responses across data science, statistics, ML, and quantitative problems. You will create expert-level prompts, datasets, and reference solutions. Your analysis will help identify weaknesses and improve model capability. Key Responsibilities:
Evaluate AI model outputs on technical quantitative problems Create expert-level prompts, datasets, and reference solutions Identify flawed methodology and statistical errors Assess weak quantitative reasoning in model responses Provide structured feedback improving model capability Requirements:
At least one year at a top company Experience in technology, finance, or research Some qualifying experience within the past three years Based in an English-speaking country Clear written technical and statistical communication Apply data science, statistical analysis, and quantitative reasoning to evaluate AI outputs and provide structured improvement feedback.
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Junior AI Model Data Scientist in Winnipeg employer: Great Value Hiring
Join a forward-thinking company that prioritizes innovation and collaboration in the heart of the tech industry. As a Lead Software Engineer for AI Projects, you'll thrive in a supportive work culture that values continuous learning and professional growth, offering you the chance to work on cutting-edge technologies while enjoying competitive benefits and a flexible work environment. Our commitment to employee development ensures that you will have ample opportunities to advance your career and make a meaningful impact in the field of artificial intelligence.
