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Remote Quantitative Trading Annotator & Model Trainer

Rhode Island Bar Assn., Palo Alto, California, United States, 94306

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A leader in AI systems development is seeking a Quantitative Trader to enhance AI models through high-quality data annotation and expert evaluation. This fully remote position focuses on quantitative trading practices, requiring significant expertise in financial data and machine learning. Ideal candidates will have a master's or PhD in a quantitative field and should be proficient in tools like Python. Compensation ranges from $45 to $100 per hour, depending on experience and qualifications. #J-18808-Ljbffr