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Financial Risk & Safety Specialist (AI Systems)

Mpathic2 · Active · $30 / hour · BambooHR

Job facts

FieldValue
CompanyMpathic2
TitleFinancial Risk & Safety Specialist (AI Systems)
Normalized title-
Department / teamExperts
LocationSeattle, WA, United States
Work model-
Employment typeContract
Salary$30 / hour
Statusactive
ATS providerBambooHR
Posted / first seen2026-03-23 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Mpathic2.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Seattle.Open
Department jobsActive postings in Experts.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMpathic2
Sourceb1af6ab1-26b4-4778-a1f4-d8ae41a6f240
ATS providerBambooHR

Description

About mpathic.ai Keeping the human in AI. mpathic is a trusted leader in advancing quality and safety in AI systems through expert-led evaluation and human data. We partner with leading technology companies to support red teaming, trust & safety, expert annotation, and model evaluation across high-stakes domains. Our reviewers bring deep expertise in behavioral analysis, conversational design, mental health, and increasingly, financial and enterprise decision-making contexts. About the Role mpathic is seeking part-time Financial Experts to support a red-teaming and quality assurance (QA) campaign focused on evaluating AI system behavior in consumer-facing financial interactions. In this role, you will review AI-generated responses and multi-turn conversations to identify risks related to financial guidance, inappropriate agreement (e.g., sycophancy), overconfidence, and failure to appropriately communicate uncertainty or limitations. This is not a financial advising role. Instead, it focuses on evaluation and red teaming—specifically, adversarial thinking and expert judgment applied to AI outputs in simulated scenarios. What You’ll Be Working On You will help identify, prevent, and characterize risks that emerge when users engage AI systems in financial and general inquiry contexts. Responsibilities may include: Reviewing AI-generated financial content and conversations for accuracy, appropriateness, and risk Identifying unsafe or misleading financial guidance (e.g., overconfident claims, risk minimization, inappropriate advice) Evaluating how AI systems handle uncertainty, disclaimers, and scope of knowledge in consumer-facing contexts Assessing whether models appropriately challenge or push back on risky or incorrect user assumptions Identifying patterns of sycophancy, over-alignment, or inappropriate agreement Evaluating multi-turn conversations for drift, escalation, and policy breakdown over time Participating in or reviewing red teaming exercises, including adversarial probing of AI systems to surface failure modes Evaluating how models respond under pressure, ambiguity, and escalating user intent Supporting quality assurance (QA) of red teaming outputs to ensure consistency and rigor Documenting edge cases, failure modes, and emerging risk patterns Providing structured written feedback to internal teams Collaborating with interdisciplinary teams on AI safety, policy, and evaluation frameworks Maintaining strict confidentiality and quality standards This role requires strong judgment, attention to nuance, and comfort evaluating ambiguous or evolving scenarios. What We’re Looking For Successful candidates are thoughtful, detail-oriented, and able to apply financial expertise to assess risk, uncertainty, and appropriateness in conversational AI systems. Basic Qualifications Professional experience in one or more of the following: Finance, investment analysis, or financial advising Banking, wealth management, or asset management Financial risk, compliance, or regulatory roles Corporate finance, accounting, or financial planning Strong understanding of: Financial risk, uncertainty, and decision-making Appropriate vs. inappropriate financial guidance in consumer contexts How non-experts interpret financial information Ability to identify: Overconfidence, misleading claims, or missing risk disclosures Inappropriate agreement with risky or incorrect user assumptions 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 Evaluating how systems fail under realistic user behavior Comfort working with AI tools and conversational outputs Ability to work remotely using Slack and standard productivity tools Comfort with ambiguity, iteration, and feedback-driven workflows Willingness to sign NDAs and work with sensitive content Availability ~10 hours per week for 8 weeks (starting in mid-April), with occasional scheduled meetings Nice to Have (Not Required) Certifications (e.g., CFA, CFP, CPA, FRM) Experience in financial compliance or regulatory frameworks (e.g., SEC, 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 Compensation $30-200/hour, depending on experience and specific project tasks/difficulty

Full job record

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Org IDa49c47a0-5ae6-4084-89b9-187ae791ed8b
Source IDb1af6ab1-26b4-4778-a1f4-d8ae41a6f240
Board IDb1af6ab1-26b4-4778-a1f4-d8ae41a6f240
Providerbamboohr
Provider Job Key70
TitleFinancial Risk & Safety Specialist (AI Systems)
Normalized Title
Statusactive
Activeyes
Location Text
DepartmentExperts
Team
Employment Typecontract
Workplace Type
Remote Policy
CountryUnited States
RegionWA
CitySeattle
Salary RawCompensation $30-200/hour, depending on experience and specific project tasks/difficulty
Salary Min30
Salary Max
Salary CurrencyUSD
Salary Periodhour
Source URLhttps://mpathic2.bamboohr.com/careers/70
Apply URLhttps://mpathic2.bamboohr.com/careers/70
First Seen At2026-05-30 06:04:22Z
Last Seen At2026-06-06 09:39:29Z
Last Checked At2026-06-06 09:39:29Z
Last Changed At2026-05-30 06:04:22Z
Inactive At
Source Posted At2026-03-23 00:00:00Z
Source Updated At
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    "description": "<ul></ul>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">About mpathic.ai</span></p>\n<p><span style=\"font-size: 10pt\">Keeping the human in AI. mpathic is a trusted leader in advancing quality and safety in AI systems through expert-led evaluation and human data. We partner with leading technology companies to support red teaming, trust &amp; safety, expert annotation, and model evaluation across high-stakes domains.</span></p>\n<p><br><span style=\"font-size: 10pt\">Our reviewers bring deep expertise in behavioral analysis, conversational design, mental health, and increasingly, financial and enterprise decision-making contexts.</span><br></p>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">About the Role</span></p>\n<p><span style=\"font-size: 10pt\">mpathic is seeking part-time Financial Experts to support a red-teaming and quality assurance (QA) campaign focused on evaluating AI system behavior in consumer-facing financial interactions.</span></p>\n<p><br><span style=\"font-size: 10pt\">In this role, you will review AI-generated responses and multi-turn conversations to identify risks related to financial guidance, inappropriate agreement (e.g., sycophancy), overconfidence, and failure to appropriately communicate uncertainty or limitations.</span></p>\n<p><br><span style=\"font-size: 10pt\">This is not a financial advising role. Instead, it focuses on evaluation and red teaming—specifically, adversarial thinking and expert judgment applied to AI outputs in simulated scenarios.</span><br></p>\n<p><br><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">What You’ll Be Working On </span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">You will help identify, prevent, and characterize risks that emerge when users engage AI systems in financial and general inquiry contexts.</span><br></p>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">Responsibilities may include:</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Reviewing AI-generated financial content and conversations for accuracy, appropriateness, and risk</span></li>\n<li><span style=\"font-size: 10pt\">Identifying unsafe or misleading financial guidance (e.g., overconfident claims, risk minimization, inappropriate advice)</span></li>\n<li><span style=\"font-size: 10pt\">Evaluating how AI systems handle uncertainty, disclaimers, and scope of knowledge in consumer-facing contexts</span></li>\n<li><span style=\"font-size: 10pt\">Assessing whether models appropriately challenge or push back on risky or incorrect user assumptions</span></li>\n<li><span style=\"font-size: 10pt\">Identifying patterns of sycophancy, over-alignment, or inappropriate agreement</span></li>\n<li><span style=\"font-size: 10pt\">Evaluating multi-turn conversations for drift, escalation, and policy breakdown over time</span></li>\n<li><span style=\"font-size: 10pt\">Participating in or reviewing red teaming exercises, including adversarial probing of AI systems to surface failure modes</span></li>\n<li><span style=\"font-size: 10pt\">Evaluating how models respond under pressure, ambiguity, and escalating user intent</span></li>\n<li><span style=\"font-size: 10pt\">Supporting quality assurance (QA) of red teaming outputs to ensure consistency and rigor</span></li>\n<li><span style=\"font-size: 10pt\">Documenting edge cases, failure modes, and emerging risk patterns</span></li>\n<li><span style=\"font-size: 10pt\">Providing structured written feedback to internal teams</span></li>\n<li><span style=\"font-size: 10pt\">Collaborating with interdisciplinary teams on AI safety, policy, and evaluation frameworks</span></li>\n<li><span style=\"font-size: 10pt\">Maintaining strict confidentiality and quality standards</span><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 10pt\">This role requires strong judgment, attention to nuance, and comfort evaluating ambiguous or evolving scenarios.</span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">What We’re Looking For</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">Successful candidates are thoughtful, detail-oriented, and able to apply financial expertise to assess risk, uncertainty, and appropriateness in conversational AI systems.</span><br></p>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt; font-weight: bold\">Basic Qualifications</span></p>\n<ul>\n<li><span style=\"font-size: 13.3333px\">Professional experience in one or more of the following:<br></span>\n<ul>\n<li><span style=\"font-size: 13.3333px\">Finance, investment analysis, or financial advising</span></li>\n<li><span style=\"font-size: 13.3333px\">Banking, wealth management, or asset management</span></li>\n<li><span style=\"font-size: 13.3333px\">Financial risk, compliance, or regulatory roles</span></li>\n<li><span style=\"font-size: 13.3333px\">Corporate finance, accounting, or financial planning<br></span></li>\n</ul>\n</li>\n<li><span style=\"font-size: 13.3333px\">Strong understanding of:<br></span>\n<ul>\n<li><span style=\"font-size: 13.3333px\">Financial risk, uncertainty, and decision-making</span></li>\n<li><span style=\"font-size: 13.3333px\">Appropriate vs. inappropriate financial guidance in consumer contexts</span></li>\n<li><span style=\"font-size: 13.3333px\">How non-experts interpret financial information</span></li>\n</ul>\n</li>\n<li><span style=\"font-size: 13.3333px\">Ability to identify:<br></span>\n<ul>\n<li><span style=\"font-size: 13.3333px\">Overconfidence, misleading claims, or missing risk disclosures<br></span></li>\n<li><span style=\"font-size: 13.3333px\">Inappropriate agreement with risky or incorrect user assumptions<br></span></li>\n</ul>\n</li>\n<li><span style=\"font-size: 13.3333px\">Failures in escalation, boundary setting, or uncertainty communication<br></span></li>\n<li><span style=\"font-size: 13.3333px\">Strong written communication skills and ability to clearly explain reasoning<br></span></li>\n<li><span style=\"font-size: 13.3333px\">Experience with or interest in:<br></span>\n<ul>\n<li><span style=\"font-size: 13.3333px\"><span style=\"font-size: 10pt\">Red teaming, adversarial testing, or safety evaluation of AI systems<br></span></span></li>\n<li><span style=\"font-size: 13.3333px\"><span style=\"font-size: 10pt\">Evaluating how systems fail under realistic user behavior<br></span></span></li>\n</ul>\n</li>\n<li><span style=\"font-size: 13.3333px\"><span style=\"font-size: 10pt\">Comfort working with AI tools and conversational outputs<br></span></span></li>\n<li><span style=\"font-size: 13.3333px\"><span style=\"font-size: 10pt\">Ability to work remotely using Slack and standard productivity tools<br></span></span></li>\n<li><span style=\"font-size: 13.3333px\"><span style=\"font-size: 10pt\">Comfort with ambiguity, iteration, and feedback-driven workflows<br></span></span></li>\n<li><span style=\"font-size: 13.3333px\"><span style=\"font-size: 10pt\">Willingness to sign NDAs and work with sensitive content<br></span></span></li>\n<li><span style=\"font-size: 13.3333px\"><span style=\"font-size: 10pt\">Availability ~10 hours per week for 8 weeks (starting in mid-April), with occasional scheduled meetings</span></span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; 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