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Financial Dataset Curator and AI Prompt Engineer

You will build and audit complex financial training datasets that test whether AI models can perform professional-grade financial work, and document exactly where and why they fail.

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About This Role

This is a specialised evaluation and prompt engineering role, not a standard finance position. You will build and audit complex financial training datasets that test whether AI models can perform professional-grade financial work, and document exactly where and why they fail.

What You Will Do

  • Select a domain focus, Fixed Income Research or Quantitative Finance, and target one of two failure modes: Financial Methodology and Logic, or Data Extraction and Parsing
  • Source and validate two to three PDF documents, annual reports, bond prospectuses, debt schedules, collateral tables, or option grids, meeting strict complexity and length thresholds
  • Engineer analyst-grade prompts with cascading calculation steps, instruction-conflicting definitions, and explicit constraints designed to expose specific model weaknesses
  • Manually solve each task in full before the model sees the prompt, building the gold-standard answer key every response is graded against
  • Run each prompt against the model exactly once, then compare the response step by step against your independent solution to find the exact point of divergence
  • Write precise failure narratives covering the error type, its trigger, the correct treatment, and the downstream financial impact
  • Feed every documented failure back into the next round of domain selection and prompt design, closing the loop in a continuous improvement cycle

What You Need to Succeed

  • Bachelor's or Master's degree in Finance, Economics, or a related quantitative field
  • 5+ years of practitioner-level experience in Fixed Income Research or Quantitative Finance, able to solve complex, multi-step financial problems without relying on a model
  • Professional experience with AI training data, LLM evaluation, or prompt engineering, this is a mandatory requirement, not a nice to have
  • Ability to identify precisely where and why an AI model would misapply financial logic or misread a source document
  • Strong analytical writing skills, able to document a model failure in three to four precise lines covering error type, trigger, correct treatment, and downstream impact
  • Comfort working independently across dense financial source documents, including footnotes, appendices, and secondary disclosures

What Will Give You an Edge

  • Prior exposure to Investment Banking or FP&A use cases, in addition to Fixed Income or Quantitative Finance
  • Experience designing adversarial or stress-test style prompts for large language models
  • A track record of precise, structured technical writing under strict format and length constraints

What Qfyre Offers

  • A fully remote engagement with flexibility built into how you structure your working hours
  • Direct contribution to AI model evaluation and training data used in enterprise-grade financial AI systems
  • Competitive compensation benchmarked to specialist financial and AI evaluation expertise
  • Work reviewed and mentored by domain specialists, not automated screening

Skills and Technologies

Fixed IncomeQuantitative FinanceAI Training DataPrompt EngineeringModel Auditing
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FAQ

Questions About This Role

Common questions from candidates and applicants.

What does the application process look like for the Financial Dataset Curator and AI Prompt Engineer role?+

Submit your application via the form on this page. A Qfyre domain specialist will review your profile, not an automated keyword filter, and will be in touch within two business days if there is a strong fit. We may arrange a brief introductory call before presenting your profile to the client.

Is this Financial Dataset Curator and AI Prompt Engineer role a permanent position or contract?+

This is a Full Time position, fully remote. Specific contract terms and benefits are discussed during the briefing process once your profile has been reviewed.

What experience level is required for the Financial Dataset Curator and AI Prompt Engineer role?+

This role requires 5+ years of relevant experience. The specific technical requirements and domain expectations are outlined in the full job description above. If your experience is slightly outside the stated range but you have strong relevant capability, we encourage you to apply, we assess profiles holistically, not against a checklist.

Does Qfyre assist with relocation for this role?+

This is a fully remote engagement, so relocation is not required. If the scope of work ever changes to include on-site collaboration, our team will discuss this with you directly during the briefing process.

What are the role's required Technical and Domain Competencies?+

This is a specialised, non-standard role: 5+ years of practitioner-level experience in Fixed Income Research or Quantitative Finance is mandatory, alongside professional experience with AI training data, LLM evaluation, or prompt engineering. Domain depth means being able to solve complex, multi-step financial problems independently and document precisely where and why a model gets them wrong.