
Remote Quantitative Trading Annotator & Model Trainer
NACBA, Palo Alto, California, United States, 94306
A leading AI technologies company is seeking a Quantitative Trader to enhance AI systems through high-quality data evaluations and annotations. This fully remote position requires a Master’s or PhD in a quantitative field along with expertise in Python, financial modeling, and data analysis. You'll work closely with technical teams and contribute to the development of innovative trading strategies. A compensation range of $45-$100/hour is offered, depending on experience and qualifications.
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