This job post has expired on May 23, 2026. It is likely that the position has already been filled.
Portfolio Management Expert at Turing
posted 5 months agoPortfolio Management Expert | $100+/hr | Worldwide Remote | Freelance (10–30 hrs/week)
Turing is seeking experienced Portfolio Management professionals to collaborate with AI researchers in evaluating and improving the performance of large language models (LLMs) in the finance domain. This is a unique opportunity to apply your investment expertise to shape the future of AI — no prior AI experience required.
About Turing
Based in San Francisco, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing helps accelerate frontier research with high-quality data, advanced training pipelines, and top-tier AI researchers specializing in coding, reasoning, STEM, and more.
What You'll Do
- Evaluate LLM models on portfolio management topics including asset allocation frameworks, risk-adjusted return analysis, and portfolio optimization.
- Develop rubrics to assess model capabilities across tasks such as performance attribution, benchmark comparison, factor analysis, and rebalancing decisions.
- Collaborate with AI researchers and finance professionals to shape training methodologies, evaluation strategies, and benchmarks.
Requirements
- 2+ years of experience in Portfolio Management (e.g., mutual funds, hedge funds, pension funds, endowments, or wealth management).
- Strong understanding of modern portfolio theory, asset allocation, risk management frameworks, and investment performance measurement.
- Excellent written communication skills in English.
Nice to Have
- CFA (Level I, II, or III), CAIA designation, or an MBA in Finance.
Engagement Details
- Commitment: Flexible, 10–30 hours per week
- Duration: Approximately 1 month, with potential extension based on performance and project needs
- Compensation: ~$100+/hr depending on experience
- Environment: Fully remote and flexible