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AI Data Trainer - Investment Analysis (Part-Time) - Remote

Posted 2 days ago
Data Analysis
Part Time
Canada
30CAD/hour

Overview

The AI Data Trainer will focus on enhancing the performance of Large Language Models by evaluating and improving their responses to financial queries.

In Short

  • Part-time contract position requiring 16 hours per week.
  • Contract rate of $30/hour.
  • Focus on financial modeling and finance-based questions.
  • Responsibilities include labeling, proofreading, and improving financial outputs.
  • Evaluate model performance and write financial prompts.
  • Requires 4+ years of experience in the finance sector.
  • Education background in finance (Bachelors, Masters or similar).
  • Expertise in Excel and/or VBA is necessary.
  • Role available within Canada only.
  • Bring Your Own Device (BYOD) policy.

Requirements

  • 4+ years of industry experience in finance.
  • Experience interpreting financial statements and metrics.
  • Understanding of risk analysis processes.
  • Experience with financial modeling that informs decision-making.
  • Ability to follow a style guide and make recommendations.
  • Strong attention to detail and accuracy.

Benefits

  • Open and inclusive culture.
  • Work with a team on cutting-edge AI research.
  • Weekly lunch stipend.
  • Full health and dental benefits.
  • 100% Parental Leave top-up for eligible employees.
  • Personal enrichment benefits.
  • Remote-flexible work environment.
  • 6 weeks of vacation.
Cohere logo

Cohere

Cohere is a pioneering company dedicated to scaling intelligence to serve humanity through the development and deployment of advanced AI models. With a mission to enhance the capabilities of AI systems for developers and enterprises, Cohere focuses on creating transformative experiences in areas such as content generation, semantic search, and AI agents. The company prides itself on its diverse team of top-tier researchers, engineers, and designers who are committed to building high-quality products. Cohere fosters a culture of hard work, rapid innovation, and a strong emphasis on customer value, while also valuing inclusivity and diverse perspectives in the workplace.

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