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HomeCompaniesMpathic2Customer Support Specialists, AI Response Evaluation

Customer Support Specialists, AI Response Evaluation

Mpathic2 · Active · $30 / hour · BambooHR

Job facts

FieldValue
CompanyMpathic2
TitleCustomer Support Specialists, AI Response Evaluation
Normalized title-
Department / teamExperts
LocationSeattle, WA, United States
Work model-
Employment typeContract
Salary$30 / hour
Statusactive
ATS providerBambooHR
Posted / first seen2026-05-01 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

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 Customer Support Specialists to support a red-teaming and quality assurance (QA) campaign focused on evaluating AI system behavior in customer-facing interactions. In this role, you will review AI-generated responses and multi-turn conversations to assess quality, accuracy, tone, and safety—similar to evaluating customer support agents. You will identify issues such as incorrect information, poor customer experience, inappropriate tone, or failure to resolve user needs effectively. This is not a traditional support role. Instead, it focuses on evaluating AI performance, applying your customer support expertise to assess how well AI systems handle real-world customer interactions. What You’ll Be Working On You will help identify, prevent, and characterize risks that emerge when users interact with AI-powered support systems. Responsibilities may include: Reviewing AI-generated customer support responses for accuracy, clarity, and helpfulness Evaluating tone, empathy, and professionalism in customer interactions Identifying poor support behaviors (e.g., dismissiveness, lack of resolution, incorrect guidance) Assessing whether AI responses appropriately address customer intent and resolve issues Evaluating how AI handles frustration, confusion, or escalating user behavior Identifying gaps in responses, including missing steps, unclear instructions, or lack of follow-through Detecting overconfident, misleading, or incorrect responses Evaluating multi-turn conversations for consistency, escalation handling, and resolution quality Identifying patterns of agreement without problem-solving (e.g., empty empathy or unhelpful reassurance) Participating in or reviewing red teaming exercises to surface failure modes in support scenarios Supporting quality assurance (QA) to ensure consistency across evaluations Documenting edge cases, failure patterns, and customer experience risks Providing structured written feedback to internal teams Collaborating with interdisciplinary teams on AI quality, safety, and evaluation frameworks Maintaining strict confidentiality and quality standards This role requires strong judgment, attention to detail, and the ability to evaluate nuanced customer interactions. What We’re Looking For Successful candidates are detail-oriented, customer-focused, and experienced in evaluating or delivering high-quality support in fast-paced environments. Professional experience in one or more of the following: Customer support (chat, email, or phone) Call centers or contact centers Technical support or help desk roles Online support environments (SaaS, e-commerce, fintech, etc.) Strong understanding of: High-quality customer experience and service standards Effective communication in customer-facing interactions Common support workflows (triaging, troubleshooting, escalation) How customers interpret and respond to support interactions Ability to identify: Poor or incomplete resolutions Incorrect or misleading information Inappropriate tone (e.g., robotic, dismissive, overly casual) Lack of empathy or ineffective de-escalation Failure to follow support best practices Strong written communication skills and ability to clearly explain reasoning Experience with or interest in: Evaluating conversations or QA for support teams Working with AI tools, chatbots, or automated systems Assessing how systems perform under real customer behavior Comfort with: Tech tools and platforms (Slack, spreadsheets, dashboards) Evaluating AI-generated responses (no coding required, but must be tech-comfortable) Ambiguity, iteration, and feedback-driven workflows Willingness to: Sign NDAs and work with sensitive content Nice to Have (Not Required) Experience in QA, coaching, or training within support teams Background in trust & safety or content moderation Experience with chatbot or AI-assisted support tools Familiarity with CX metrics (CSAT, QA scoring, resolution rate) Interest in AI, automation, or improving customer experience systems Compensation $30-40/hour, depending on experience and specific project tasks/difficulty

Full job record

Job IDfcba2156824b74f0e31ec59d25cbe635e831e6c9
Org IDa49c47a0-5ae6-4084-89b9-187ae791ed8b
Source IDb1af6ab1-26b4-4778-a1f4-d8ae41a6f240
Board IDb1af6ab1-26b4-4778-a1f4-d8ae41a6f240
Providerbamboohr
Provider Job Key73
TitleCustomer Support Specialists, AI Response Evaluation
Normalized Title
Statusactive
Activeyes
Location Text
DepartmentExperts
Team
Employment Typecontract
Workplace Type
Remote Policy
CountryUnited States
RegionWA
CitySeattle
Salary RawCompensation $30-40/hour, depending on experience and specific project tasks/difficulty
Salary Min30
Salary Max
Salary CurrencyUSD
Salary Periodhour
Source URLhttps://mpathic2.bamboohr.com/careers/73
Apply URLhttps://mpathic2.bamboohr.com/careers/73
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 At2026-05-01 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=mpathic2/date=2026-06-06/2026-06-06T09-39-28-431Z-48285aeccaa3acf5233909cb80ca672f5c387545ccdedcf0178dd8e5287f8d09.json
Event Fields
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Parsed Structured
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Extensions
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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 Customer Support Specialists to support a red-teaming and quality assurance (QA) campaign focused on evaluating AI system behavior in customer-facing interactions.</span></p>\n<p><br><br></p>\n<p><span style=\"font-size: 10pt\">In this role, you will review AI-generated responses and multi-turn conversations to assess quality, accuracy, tone, and safety—similar to evaluating customer support agents. You will identify issues such as incorrect information, poor customer experience, inappropriate tone, or failure to resolve user needs effectively.</span></p>\n<p><br><br></p>\n<p><span style=\"font-size: 10pt\">This is not a traditional support role. Instead, it focuses on evaluating AI performance, applying your customer support expertise to assess how well AI systems handle real-world customer interactions.</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-size: 10pt\">You will help identify, prevent, and characterize risks that emerge when users interact with AI-powered support systems.</span></p>\n<p><br><br></p>\n<p><span style=\"font-size: 10pt\">Responsibilities may include:</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Reviewing AI-generated customer support responses for accuracy, clarity, and helpfulness</span></li>\n<li><span style=\"font-size: 10pt\">Evaluating tone, empathy, and professionalism in customer interactions</span></li>\n<li><span style=\"font-size: 10pt\">Identifying poor support behaviors (e.g., dismissiveness, lack of resolution, incorrect guidance)</span></li>\n<li><span style=\"font-size: 10pt\">Assessing whether AI responses appropriately address customer intent and resolve issues</span></li>\n<li><span style=\"font-size: 10pt\">Evaluating how AI handles frustration, confusion, or escalating user behavior</span></li>\n<li><span style=\"font-size: 10pt\">Identifying gaps in responses, including missing steps, unclear instructions, or lack of follow-through</span></li>\n<li><span style=\"font-size: 10pt\">Detecting overconfident, misleading, or incorrect responses</span></li>\n<li><span style=\"font-size: 10pt\">Evaluating multi-turn conversations for consistency, escalation handling, and resolution quality</span></li>\n<li><span style=\"font-size: 10pt\">Identifying patterns of agreement without problem-solving (e.g., empty empathy or unhelpful reassurance)</span></li>\n<li><span style=\"font-size: 10pt\">Participating in or reviewing red teaming exercises to surface failure modes in support scenarios</span></li>\n<li><span style=\"font-size: 10pt\">Supporting quality assurance (QA) to ensure consistency across evaluations</span></li>\n<li><span style=\"font-size: 10pt\">Documenting edge cases, failure patterns, and customer experience risks</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 quality, safety, and evaluation frameworks</span></li>\n<li><span style=\"font-size: 10pt\">Maintaining strict confidentiality and quality standards</span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-size: 10pt\">This role requires strong judgment, attention to detail, and the ability to evaluate nuanced customer interactions.</span></p>\n<p><br><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 detail-oriented, customer-focused, and experienced in evaluating or delivering high-quality support in fast-paced environments.</span><br></p>\n<p><br></p>\n<p><span style=\"font-size: 10pt\">Professional experience in one or more of the following:</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Customer support (chat, email, or phone)</span></li>\n<li><span style=\"font-size: 10pt\">Call centers or contact centers</span></li>\n<li><span style=\"font-size: 10pt\">Technical support or help desk roles</span></li>\n<li><span style=\"font-size: 10pt\">Online support environments (SaaS, e-commerce, fintech, etc.)</span></li>\n</ul>\n<p><span style=\"font-size: 10pt\">Strong understanding of:</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">High-quality customer experience and service standards</span></li>\n<li><span style=\"font-size: 10pt\">Effective communication in customer-facing interactions</span></li>\n<li><span style=\"font-size: 10pt\">Common support workflows (triaging, troubleshooting, escalation)</span></li>\n<li><span style=\"font-size: 10pt\">How customers interpret and respond to support interactions</span></li>\n</ul>\n<p><span style=\"font-size: 10pt\">Ability to identify:</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Poor or incomplete resolutions</span></li>\n<li><span style=\"font-size: 10pt\">Incorrect or misleading information</span></li>\n<li><span style=\"font-size: 10pt\">Inappropriate tone (e.g., robotic, dismissive, overly casual)</span></li>\n<li><span style=\"font-size: 10pt\">Lack of empathy or ineffective de-escalation</span></li>\n<li><span style=\"font-size: 10pt\">Failure to follow support best practices</span></li>\n</ul>\n<p><span style=\"font-size: 10pt\">Strong written communication skills and ability to clearly explain reasoning</span></p>\n<p><span style=\"font-size: 10pt\">Experience with or interest in:</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Evaluating conversations or QA for support teams</span></li>\n<li><span style=\"font-size: 10pt\">Working with AI tools, chatbots, or automated systems</span></li>\n<li><span style=\"font-size: 10pt\">Assessing how systems perform under real customer behavior</span></li>\n</ul>\n<p><span style=\"font-size: 10pt\">Comfort with:</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Tech tools and platforms (Slack, spreadsheets, dashboards)</span></li>\n<li><span style=\"font-size: 10pt\">Evaluating AI-generated responses (no coding required, but must be tech-comfortable)</span></li>\n<li><span style=\"font-size: 10pt\">Ambiguity, iteration, and feedback-driven workflows</span></li>\n</ul>\n<p><span style=\"font-size: 10pt\">Willingness to:</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Sign NDAs and work with sensitive content</span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-size: 10pt; font-weight: bold\">Nice to Have (Not Required)</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Experience in QA, coaching, or training within support teams</span></li>\n<li><span style=\"font-size: 10pt\">Background in trust &amp; safety or content moderation</span></li>\n<li><span style=\"font-size: 10pt\">Experience with chatbot or AI-assisted support tools</span></li>\n<li><span style=\"font-size: 10pt\">Familiarity with CX metrics (CSAT, QA scoring, resolution rate)</span></li>\n<li><span style=\"font-size: 10pt\">Interest in AI, automation, or improving customer experience systems</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 10pt; font-weight: bold\">Compensation</span></p>\n<p><span style=\"font-size: 10pt\">$30-40/hour, depending on experience and specific project tasks/difficulty</span></p>",
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