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Subject Matter Expert (Stock Analysis Expert) - Remote

Posted Yesterday
Finance / Legal
Freelance
USA

Overview

This role involves generating and validating stock analysis content for AI training, providing expert feedback on financial models, and supporting the development of AI systems with high-quality financial insights.

In Short

  • Work remotely from anywhere within the US as a freelancer.
  • Up to 40 hours a week of work.
  • Generate and validate stock analysis content for AI training.
  • Evaluate AI-generated equity insights and recommendations.
  • Assess financial content for accuracy and regulatory alignment.
  • Provide expert feedback on model performance.
  • Assist in building benchmark datasets for AI competence.
  • Must have experience writing consumer-facing financial reports.
  • Strong understanding of financial statements and market fundamentals required.
  • 5+ years of experience in equity research or financial journalism preferred.

Requirements

  • 5+ years of professional experience in equity research or investment advisory roles.
  • Experience writing consumer-facing stock reports.
  • Ability to explain complex financial scenarios in plain language.
  • Interest in AI/ML and financial modeling.
  • Excellent analytical, writing, and communication skills.
  • Previous experience in AI evaluation or quantitative content review preferred.

Benefits

  • Work with a leading provider of language and technology solutions.
  • Contribute to the development of advanced AI systems.
  • Flexible work schedule.
  • Collaborate with a team of experts in the field.
  • Opportunity to influence AI training datasets.
TransPerfect logo

TransPerfect

TransPerfect is the world’s largest provider of language and technology solutions for global business, with a presence in over 100 cities worldwide. The company offers high-quality data for Human-Machine Interaction, catering to some of the most prestigious technology companies. Their DataForce division specializes in gathering, enriching, and processing data for Machine Learning across various AI domains, ensuring the development of advanced machine learning systems such as neural networks and generative models.

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