Investment Specialist – Freelance AI Trainer
New
J
JobgetherFinance AI
FranceContractEntry
Salary6 - 65 USD per hour
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Job Details
- Required Skills
- Risk Management
Requirements
- Foundational or professional knowledge of investments, financial markets, portfolio management, or related areas.
- Familiarity with equity and fixed-income markets, asset allocation, derivatives, valuation methods, financial modeling, risk management, behavioral finance, and macroeconomic influences.
- Strong analytical and critical-thinking skills, with the ability to evaluate complex financial reasoning and identify inaccuracies or logical gaps.
- Ability to assess investment scenarios and determine whether proposed strategies or conclusions are financially sound.
- Strong attention to detail and the ability to distinguish subtle errors in financial analysis, assumptions, calculations, and reasoning.
- Excellent written communication skills and the ability to clearly explain complex investment concepts.
- Strong metacognitive communication skills, including the ability to explicitly articulate reasoning and decision-making processes.
- Ability to work independently and consistently complete structured evaluation and feedback tasks.
Responsibilities
- Evaluate advanced AI models using investment scenarios, financial questions, analytical exercises, and market-based reasoning tasks.
- Assess model responses for factual accuracy, financial logic, analytical rigor, and real-world applicability.
- Test AI capabilities across areas such as equity and fixed-income markets, portfolio management, asset allocation, derivatives, valuation, financial modeling, and risk management.
- Challenge models on topics including fundamental and technical analysis, portfolio construction, diversification, market cycles, performance evaluation, and investment research.
- Identify and document recurring model errors, failure modes, inconsistencies, and misunderstandings of financial concepts or market behavior.
- Capture reproducible error traces and provide structured feedback to improve prompts, evaluation frameworks, and model reasoning.
- Review how AI systems interpret financial data and determine whether their conclusions appropriately reflect investment principles and market dynamics.
- Help identify areas where models oversimplify investment decisions, misinterpret financial information, or fail to account for relevant market and macroeconomic factors.
- Clearly articulate analytical reasoning and decision-making processes to help improve the quality and depth of AI-generated financial insights.
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