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Investment Specialist – Freelance AI Trainer Project

Invisible TechnologiesCały światCały świat

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaKontrakt
Doświadczenie
DoświadczenieJunior
Dodano
Dodano22 sierpnia 2026
Wykryte przez nas
Wykryte przez nas24 sierpnia 2026
Zarobki
ZarobkiDo uzgodnienia

Invisible Technologies is seeking an Investment Specialist to contribute to a freelance AI training project focused on enhancing the financial reasoning capabilities of large-scale language models. You will play a critical role in shaping how AI interprets complex financial markets, investment strategies, and analytical data to support professionals worldwide.

Key responsibilities

  • Engage AI models with complex investment scenarios, analytical questions, and market-based reasoning tasks.
  • Verify the factual correctness and financial logic of model outputs across various asset classes.
  • Assess the validity of investment reasoning and identify instances where models oversimplify market behavior.
  • Provide structured feedback to improve prompts, evaluation frameworks, and the overall analytical depth of the systems.
  • Document reproducible error traces to help strengthen model accuracy and reasoning processes.

Requirements

  • Strong foundational knowledge in areas such as equity and fixed-income markets, portfolio management, and asset allocation.
  • Familiarity with financial modeling, valuation methods, risk management, and macroeconomic influences.
  • Excellent analytical skills and the ability to articulate complex reasoning processes clearly.
  • Background in finance, economics, accounting, or business is preferred, though not strictly required.
  • Ability to work independently as a contractor with your own secure computer and high-speed internet connection.

What we offer

  • The opportunity to influence the development of next-generation AI tools for the financial sector.
  • Flexible freelance project work that allows you to apply your investment expertise in a unique, innovative environment.
  • Engagement with cutting-edge technology and advanced language model training methodologies.

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