How OpenAI Is Teaching ChatGPT Professions: AI in Investment Banking
OpenAI has posted a job listing for an investment banking expert with at least two years of experience to join its Applied AI team in San Francisco. The task: teaching AI the real professional skills of the industry. Base pay runs from $185,000 to $205,000 a year, plus company equity. The listing is part of a broader push to prepare ChatGPT for real-world business use.
AI-processed from TNW; edited by Hamidun News
OpenAI is preparing ChatGPT for real-world business use: the company is hiring an investment banking expert to teach its AI the professional skills of that industry.
Who OpenAI Needs and What It Pays
The job is titled "subject matter expert." Candidates must have at least two years of hands-on experience in investment banking.
- Position: Subject Matter Expert, Applied AI team
- Experience: 2+ years in investment banking
- Base salary: $185,000–$205,000 a year
- Additional compensation: equity
- Location: San Francisco office
The equity component carries particular weight right now: in 2025–2026 OpenAI is restructuring its corporate form, which makes the valuation and liquidity of shares a non-trivial question for new hires.
Why AI Needs a Living, Breathing Banker
Hiring industry experts to train models is an established practice among major AI labs. The reasoning: a significant share of professional competence is not captured in public texts. It lives in the form of judgment, deal-evaluation rules and negotiation scenarios passed along within the profession.
Investment banking is one of the most closed-off fields. Company valuation methodologies, due diligence approaches, and the principles behind building an LBO or DCF model are honed over years on real deals. A language model trained only on textbooks and public materials reproduces these skills only approximately.
That is why OpenAI wants someone with at least two years of hands-on experience rather than academic knowledge: a human expert can judge the quality of a model's answer in a way no automated method can.
What This Means
OpenAI has been steadily building specialized AI agents for professional markets: legal, medical, and now financial. Hiring a banker signals that the company's next generation of tools targets enterprise clients in the financial sector, where AI must work not as a general-purpose assistant but as a specialist at the level of a junior investment bank analyst.
How does OpenAI train AI in real professions?
The company hires subject matter experts. The listing requires at least 2 years of hands-on experience in investment banking. The specialist joins the Applied AI team in San Francisco and helps train AI in professional skills.
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Key Questions Answered
How does OpenAI train AI in real professions?
The company hires subject matter experts. The listing requires at least 2 years of hands-on experience in investment banking. The specialist joins the Applied AI team in San Francisco and helps train AI in professional skills.
Who OpenAI Needs and What It Pays?
The job is titled "subject matter expert." Candidates must have at least two years of hands-on experience in investment banking. Position: Subject Matter Expert, Applied AI team Experience: 2+ years in investment banking Base salary: $185,000–$205,000 a year Additional compensation: equity Location: San Francisco office The equity component carries particular weight right now: in 2025–2026 OpenAI is restructuring its corporate form, which makes the valuation and liquidity of shares a non-trivial question for new hires.
Why AI Needs a Living, Breathing Banker?
Hiring industry experts to train models is an established practice among major AI labs. The reasoning: a significant share of professional competence is not captured in public texts. It lives in the form of judgment, deal-evaluation rules and negotiation scenarios passed along within the profession. Investment banking is one of the most closed-off fields. Company valuation methodologies, due diligence approaches, and the principles behind building an LBO or DCF model are honed over years on real deals. A language model trained only on textbooks and public materials reproduc
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