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Financial Experts (AI)

30 - 200$
Формат работы
remote (только USA)
Тип работы
parttime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Financial Experts (AI) (Financial Risk/Red Teaming): Evaluating AI-generated financial content and multi-turn conversations for misleading guidance, unsafe behavior, and failures in uncertainty communication with an accent on adversarial testing, expert judgment, and consumer-facing financial interactions. Focus on identifying sycophancy, overconfidence, policy breakdowns, and emerging failure modes while producing structured feedback for AI safety and evaluation teams.

Location: Seattle, Washington (Remote); availability of approximately 10 hours per week for 8 weeks, starting in mid-April, with occasional scheduled meetings.

Compensation: $30–$200 per hour, depending on experience and specific project tasks and difficulty.

Company

hirify.global advances quality and safety in AI systems through expert-led evaluation and human data, supporting red teaming, trust and safety, expert annotation, and model evaluation across high-stakes domains.

What you will do

  • Review AI-generated financial content and multi-turn conversations for accuracy, appropriateness, risk, and misleading guidance.
  • Evaluate how AI systems communicate uncertainty, disclaimers, limitations, boundaries, and escalation in consumer-facing financial contexts.
  • Identify overconfidence, sycophancy, inappropriate agreement, over-alignment, risky assumptions, and policy breakdowns under ambiguity or escalating user intent.
  • Participate in and review red-teaming exercises, including adversarial probing of AI systems to surface failure modes.
  • Document edge cases, failure modes, and emerging risk patterns and provide structured written feedback to internal teams.
  • Support QA of red-teaming outputs and collaborate with interdisciplinary AI safety, policy, and evaluation teams while maintaining confidentiality and quality standards.

Requirements

  • Professional experience in finance, investment analysis, financial advising, banking, wealth management, asset management, financial risk, compliance, regulatory roles, corporate finance, accounting, or financial planning.
  • Strong understanding of financial risk, uncertainty, decision-making, appropriate versus inappropriate financial guidance in consumer contexts, and how non-experts interpret financial information.
  • Ability to identify overconfidence, misleading claims, missing risk disclosures, inappropriate agreement with risky or incorrect assumptions, and failures in escalation, boundary setting, or uncertainty communication.
  • Strong written communication skills and ability to clearly explain reasoning.
  • Experience with or interest in red teaming, adversarial testing, or safety evaluation of AI systems and evaluating system failures under realistic user behavior.
  • Comfort working with AI tools and conversational outputs, ambiguity, iteration, and feedback-driven workflows.
  • Ability to work remotely using Slack and standard productivity tools.
  • Willingness to sign NDAs and work with sensitive content.
  • Availability for approximately 10 hours per week for 8 weeks, starting in mid-April, with occasional scheduled meetings.

Nice to have

  • Certifications such as CFA, CFP, CPA, or FRM.
  • Experience with financial compliance or regulatory frameworks such as SEC or FINRA.
  • Background in consumer financial protection or financial education.
  • Experience with fintech, digital finance products, or robo-advisors.
  • Prior experience with AI evaluation, annotation, or safety work.
  • Interest in AI, NLP, or responsible technology.

Culture & Benefits

  • Remote work with flexible project-based scheduling and occasional scheduled meetings.
  • Work on AI quality and safety initiatives across high-stakes domains.
  • Collaboration with interdisciplinary teams working on AI safety, policy, and evaluation frameworks.
  • Work involves sensitive content and requires strict confidentiality and consistent quality standards.

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