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Retail Trader AI Training Specialist - Remote

Posted 7 days ago
Data Analysis
Contract
USA

Overview

This role involves contributing to an AI research project that focuses on understanding retail investor behavior through insights from active traders and experienced investors.

In Short

  • Participate in a remote AI research project.
  • Provide insights into retail investor behavior.
  • Support data-annotation and evaluation tasks.
  • Review trading-related content and investor communications.
  • Categorize and label data consistently.
  • Help refine AI models for equities, ETFs, and crypto.
  • Stay updated on current market trends.
  • Utilize major brokerage platforms.
  • Strong analytical judgment required.
  • Flexible hours for contract role.

Requirements

  • Active trader or experienced retail investor.
  • Practical experience with stocks, ETFs, or crypto.
  • Familiarity with platforms like Robinhood, Fidelity, etc.
  • Comfort with structured labeling work.
  • Clear written communication skills.
  • Ability to explain investor thought processes.
  • Strong analytical skills.
  • Detail-oriented approach to data categorization.
  • Understanding of risk and trading execution.

Benefits

  • Impact on AI systems understanding retail trading.
  • Flexible working hours.
  • Fully remote position.
  • Opportunity to work on cutting-edge AI research.
  • Engagement with financial market analysis.

Alignerr

Alignerr

Alignerr.com is a collaborative platform that brings together subject matter experts from various fields to enhance AI models by generating high-quality data, particularly in the realm of Generative AI. Operated by Labelbox, a leading data-centric AI platform, Alignerr focuses on integrating human expertise with AI technologies to improve the accuracy and efficiency of intelligent applications. Labelbox serves a diverse clientele, including Fortune 500 companies across industries such as insurance, retail, and healthcare, and is supported by prominent investors. The company is dedicated to advancing AI capabilities while ensuring effective human oversight and automation.

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