Home › Companies › Mpathic2 › Financial Risk & Safety Specialist (AI Systems)
Financial Risk & Safety Specialist (AI Systems)
Mpathic2 · Active · $30 / hour · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Mpathic2 |
| Title | Financial Risk & Safety Specialist (AI Systems) |
| Normalized title | - |
| Department / team | Experts |
| Location | Seattle, WA, United States |
| Work model | - |
| Employment type | Contract |
| Salary | $30 / hour |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-03-23 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Mpathic2. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Seattle. | Open |
| Department jobs | Active postings in Experts. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Mpathic2 |
| Source | b1af6ab1-26b4-4778-a1f4-d8ae41a6f240 |
| ATS provider | BambooHR |
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
| Job ID | 9bbe7973c466a22d411d0bed16c191de0ad10596 |
| Org ID | a49c47a0-5ae6-4084-89b9-187ae791ed8b |
| Source ID | b1af6ab1-26b4-4778-a1f4-d8ae41a6f240 |
| Board ID | b1af6ab1-26b4-4778-a1f4-d8ae41a6f240 |
| Provider | bamboohr |
| Provider Job Key | 70 |
| Title | Financial Risk & Safety Specialist (AI Systems) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | — |
| Department | Experts |
| Team | — |
| Employment Type | contract |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | WA |
| City | Seattle |
| Salary Raw | Compensation $30-200/hour, depending on experience and specific project tasks/difficulty |
| Salary Min | 30 |
| Salary Max | — |
| Salary Currency | USD |
| Salary Period | hour |
| Source URL | https://mpathic2.bamboohr.com/careers/70 |
| Apply URL | https://mpathic2.bamboohr.com/careers/70 |
| First Seen At | 2026-05-30 06:04:22Z |
| Last Seen At | 2026-06-06 09:39:29Z |
| Last Checked At | 2026-06-06 09:39:29Z |
| Last Changed At | 2026-05-30 06:04:22Z |
| Inactive At | — |
| Source Posted At | 2026-03-23 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=mpathic2/date=2026-06-06/2026-06-06T09-39-28-431Z-48285aeccaa3acf5233909cb80ca672f5c387545ccdedcf0178dd8e5287f8d09.json |
Event Fields
{
"content_hash": "6e68b33c098268f004b603ebab1a2f04de65beed2f962d96ab6539adb8d70b83",
"source_hash": "fe8864cc203be455362cd6655e80fef0ed92305ef6b8a6489dcee24db9f919a2",
"last_changed_at": "2026-05-30T06:04:22.595Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "Seattle, Washington, United States",
"city": "Seattle",
"region": "WA",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"salary_max": null,
"salary_min": 30,
"inferred_at": "2026-06-06T09:39:29.912Z",
"launch_scope": {
"reason": "bamboohr_production_catalog",
"included": true,
"location": {
"raw": "Seattle, Washington, United States",
"city": "Seattle",
"region": "WA",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"countries": [
"United States"
]
},
"remote_policy": null,
"salary_period": "hour",
"workplace_type": null,
"salary_currency": "USD"
}Extensions
{}Native Structured
{
"list_job": {
"id": "70",
"isRemote": null,
"location": {
"city": null,
"state": null
},
"atsLocation": {
"city": "Seattle",
"state": "Washington",
"country": "United States",
"province": null
},
"departmentId": "18634",
"locationType": "1",
"jobOpeningName": "Financial Risk & Safety Specialist (AI Systems)",
"departmentLabel": "Experts",
"employmentStatusLabel": "Contractor"
},
"detail_errors": [],
"detail_job_opening": {
"location": {
"city": null,
"state": null,
"postalCode": null,
"addressCountry": null
},
"datePosted": "2026-03-23",
"atsLocation": {
"city": "Seattle",
"state": "Washington",
"country": "United States",
"countryId": "1"
},
"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 & 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; font-size: 10pt; font-weight: bold\">Nice to Have (Not Required)</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Certifications (e.g., CFA, CFP, CPA, FRM)</span></li>\n<li><span style=\"font-size: 10pt\">Experience in financial compliance or regulatory frameworks (e.g., SEC, FINRA)</span></li>\n<li><span style=\"font-size: 10pt\">Background in consumer financial protection or financial education</span></li>\n<li><span style=\"font-size: 10pt\">Experience with fintech, digital finance products, or robo-advisors</span></li>\n<li><span style=\"font-size: 10pt\">Prior experience with AI evaluation, annotation, or safety work</span></li>\n<li><span style=\"font-size: 10pt\">Interest in AI, NLP, or responsible technology</span><br></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-size: 10pt; font-weight: bold\">Compensation</span></p>\n<p><span style=\"font-size: 10pt\">$30-200/hour, depending on experience and specific project tasks/difficulty</span></p>",
"compensation": "$30–$200/hour based on licensure and experience",
"departmentId": "18634",
"locationType": "1",
"seekPromoted": false,
"jobCategoryId": null,
"jobOpeningName": "Financial Risk & Safety Specialist (AI Systems)",
"departmentLabel": "Experts",
"jobOpeningStatus": "Open",
"minimumExperience": "Mid-level",
"jobOpeningShareUrl": "https://mpathic2.bamboohr.com/careers/70",
"employmentStatusLabel": "Contractor"
}
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/9bbe7973c466a22d411d0bed16c191de0ad10596?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/a49c47a0-5ae6-4084-89b9-187ae791ed8bJSONGET https://api.bluedoor.sh/job-postings/v1/sources/b1af6ab1-26b4-4778-a1f4-d8ae41a6f240JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/9bbe7973c466a22d411d0bed16c191de0ad10596/eventsJSON