Pipeline run

a7b4bc90-dae8-4965-adf3-9d48fc2d4ac3

Pipeline LLM cost (USD)

API 1: $0.0029 API 2: $0.0000 API 3: $0.0000 Total: $0.0029

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description

Nature of work · Research & Field Studies

Conduct fieldwork on research vessels studying AUV deployments, interview ship and science crews about autonomous decision-making, document human-AI collaboration, and write/present qualitative research on marine AI systems across anthropology, biology, ethics, and policy.

"Conduct ethnographic field studies aboard research vessels tracking AUV (autonomous underwater vehicle) deployments"

Tech stack maturity

Modern Cloud Native cache hit

The role of AI Compliance Officer with primary skill in AI most closely aligns with modern cloud-native organizations adopting contemporary AI governance and compliance practices.

AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)

3.20 / 5

✓ Title match

✓ Has AI skill

✓ AI skill (primary)

· AI skill (secondary)

· On AI team

· Builds AI products

vocab breakdown (legacy)

Assistants (×1): —

Frameworks (×2): —

Models / concepts (×3): AI

Evidence — skills matched in JD (8)

AUV AI Anthropology Marine Biology Science and Technology Studies Oceanography AI Ethics AI Policy

Skill cluster (1 dimension groups, role-scoped)

Cross-cutting / unaligned

AUV AI Anthropology Marine Biology Science and Technology Studies Oceanography AI Ethics AI Policy

Show KRA description ↓

Conduct ethnographic field studies aboard research vessels tracking AUV (autonomous underwater vehicle) deployments Interview marine biologists, AI ethicists, and shipboard crew about deep-sea autonomous decision-making protocols Observe and document human-AI collaboration patterns between AUV operators and onboard scientific staff Author qualitative research papers on the social dynamics of remote-monitored marine AI systems Contribute to interdisciplinary publications across anthropology, marine biology, and AI ethics journals Present research at conferences on STS (Science and Technology Studies), oceanography, and AI policy

Signals

Skill —

—

Alias —

—

KRA ai-compliance-officer

0.45

Post-classification

Centroidupdated · n=4

Alias collision log#86

New-role queue—

New skills captured7

New KRA captured—

Captured for admin review

AUV primary ↔ AI Compliance Officer pending

Anthropology primary ↔ AI Compliance Officer pending

Marine Biology primary ↔ AI Compliance Officer pending

Science and Technology Studies primary ↔ AI Compliance Officer pending

Oceanography primary ↔ AI Compliance Officer pending

AI Ethics primary ↔ AI Compliance Officer pending

AI Policy primary ↔ AI Compliance Officer pending

Status: extract_from_jd_done Created: 2026-05-21T17:40:15.024320Z Updated: 2026-05-21T17:40:15.962351Z

Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

No chosen role stored for this run.

Job description

Job Title: Underwater Robotics Ethnographer
Company: PacificAI Research Institute
Location: La Jolla, California, USA
Experience: 5+ years field research

About the Role:
PacificAI Research Institute is hiring an Underwater Robotics Ethnographer to conduct qualitative field studies of autonomous underwater AI robotics deployments in Pacific coral reef ecosystems. You will join a multidisciplinary research team of marine biologists, AI ethicists, and oceanographers.

Key Responsibilities:
- Conduct ethnographic field studies aboard research vessels tracking AUV (autonomous underwater vehicle) deployments
- Interview marine biologists, AI ethicists, and shipboard crew about deep-sea autonomous decision-making protocols
- Observe and document human-AI collaboration patterns between AUV operators and onboard scientific staff
- Author qualitative research papers on the social dynamics of remote-monitored marine AI systems
- Contribute to interdisciplinary publications across anthropology, marine biology, and AI ethics journals
- Present research at conferences on STS (Science and Technology Studies), oceanography, and AI policy

Required Qualifications:
- PhD or equivalent in cultural anthropology, STS, or qualitative sociology
- 5+ years of ethnographic field experience preferably in scientific or industrial settings
- Comfortable spending 4-6 weeks per year on research vessels in remote Pacific locations
- Strong qualitative coding skills (NVivo, Atlas.ti)
- Familiarity with AI ethics frameworks and STS methodology

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

AUV Primary No API 2 row (run stopped after API 1 or history missing)

AI Primary No API 2 row (run stopped after API 1 or history missing)

Anthropology Primary No API 2 row (run stopped after API 1 or history missing)

Marine Biology Primary No API 2 row (run stopped after API 1 or history missing)

Science and Technology Studies Primary No API 2 row (run stopped after API 1 or history missing)

Oceanography Primary No API 2 row (run stopped after API 1 or history missing)

AI Ethics Primary No API 2 row (run stopped after API 1 or history missing)

AI Policy Primary No API 2 row (run stopped after API 1 or history missing)

Library artifacts (this run)

No artifact rows for this run.

nano JD Parser — gpt-4.1-nano click to toggle

RoleUnderwater Robotics Ethnographer

CompanyPacificAI Research Institute

Experience5+ years field research

DomainResearch

Location La Jolla, USA

JD type pass

Show raw JSON

{
  "JD_type": "pass",
  "about_company": null,
  "certifications": [],
  "company_name": "PacificAI Research Institute",
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [
        "Field Research",
        "Ethnographic Research"
      ],
      "domain": "Research"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "Doctorate",
      "qualification": "PhD - Cultural Anthropology (or equivalent)",
      "raw": "PhD or equivalent in cultural anthropology, STS, or qualitative sociology",
      "requirement": "required"
    }
  ],
  "experience": {
    "max": null,
    "min": 5,
    "raw": "5+ years field research"
  },
  "job_locations": [
    {
      "aliases": [
        "San Diego",
        "La Jolla, CA"
      ],
      "city": "La Jolla",
      "country": "USA",
      "state": "California",
      "work_mode": null
    }
  ],
  "role": "Underwater Robotics Ethnographer",
  "role_aliases": [
    "Ethnographer",
    "Field Researcher",
    "Cultural Anthropologist"
  ],
  "role_archetype": "Research",
  "roles_and_responsibilities": [
    {
      "bullet_count": 6,
      "heading": "Key Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Conduct ethnographic field studies aboard",
        "last_5_words": "oceanography, and AI policy"
      },
      "text": "Conduct ethnographic field studies aboard research vessels tracking AUV (autonomous underwater vehicle) deployments\nInterview marine biologists, AI ethicists, and shipboard crew about deep-sea autonomous decision-making protocols\nObserve and document human-AI collaboration patterns between AUV operators and onboard scientific staff\nAuthor qualitative research papers on the social dynamics of remote-monitored marine AI systems\nContribute to interdisciplinary publications across anthropology, marine biology, and AI ethics journals\nPresent research at conferences on STS (Science and Technology Studies), oceanography, and AI policy",
      "word_count": 90
    }
  ],
  "urls": []
}

API 1 — extract-from-jd click to toggle

{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "AUV"
    },
    {
      "is_primary": true,
      "skill_name": "AI"
    },
    {
      "is_primary": true,
      "skill_name": "Anthropology"
    },
    {
      "is_primary": true,
      "skill_name": "Marine Biology"
    },
    {
      "is_primary": true,
      "skill_name": "Science and Technology Studies"
    },
    {
      "is_primary": true,
      "skill_name": "Oceanography"
    },
    {
      "is_primary": true,
      "skill_name": "AI Ethics"
    },
    {
      "is_primary": true,
      "skill_name": "AI Policy"
    }
  ],
  "jd_role": {
    "display_name": "Underwater Robotics Ethnographer",
    "rationale": null,
    "role_aliases": [
      "Ethnographer",
      "Field Researcher",
      "Cultural Anthropologist"
    ],
    "role_archetype": "Research",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": null,
    "certifications": [],
    "company_name": "PacificAI Research Institute",
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [
          "Field Research",
          "Ethnographic Research"
        ],
        "domain": "Research"
      },
      "secondary": null
    },
    "education": [
      {
        "level": "Doctorate",
        "qualification": "PhD - Cultural Anthropology (or equivalent)",
        "raw": "PhD or equivalent in cultural anthropology, STS, or qualitative sociology",
        "requirement": "required"
      }
    ],
    "experience": {
      "max": null,
      "min": 5,
      "raw": "5+ years field research"
    },
    "job_locations": [
      {
        "aliases": [
          "San Diego",
          "La Jolla, CA"
        ],
        "city": "La Jolla",
        "country": "USA",
        "state": "California",
        "work_mode": null
      }
    ],
    "role": "Underwater Robotics Ethnographer",
    "role_aliases": [
      "Ethnographer",
      "Field Researcher",
      "Cultural Anthropologist"
    ],
    "role_archetype": "Research",
    "roles_and_responsibilities": [
      {
        "bullet_count": 6,
        "heading": "Key Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Conduct ethnographic field studies aboard",
          "last_5_words": "oceanography, and AI policy"
        },
        "text": "Conduct ethnographic field studies aboard research vessels tracking AUV (autonomous underwater vehicle) deployments\nInterview marine biologists, AI ethicists, and shipboard crew about deep-sea autonomous decision-making protocols\nObserve and document human-AI collaboration patterns between AUV operators and onboard scientific staff\nAuthor qualitative research papers on the social dynamics of remote-monitored marine AI systems\nContribute to interdisciplinary publications across anthropology, marine biology, and AI ethics journals\nPresent research at conferences on STS (Science and Technology Studies), oceanography, and AI policy",
        "word_count": 90
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "a7b4bc90-dae8-4965-adf3-9d48fc2d4ac3",
  "stage3_signals": {
    "alias_found": false,
    "alias_match_roles": [],
    "kra_match_roles": [
      {
        "display_name": "AI Compliance Officer",
        "kra_matches": [
          {
            "kra_text": "Reviews AI use cases and model deployments against applicable regulations, internal ethics policies, and governance guidelines prior to production approval.",
            "sentence": "Interview marine biologists, AI ethicists, and shipboard crew about deep-sea autonomous decision-making protocols",
            "similarity": 0.4649
          },
          {
            "kra_text": "Monitors deployed AI systems for compliance policy drift, regulatory changes, and emerging requirements affecting existing AI deployments.",
            "sentence": "Observe and document human-AI collaboration patterns between AUV operators and onboard scientific staff",
            "similarity": 0.459
          },
          {
            "kra_text": "Monitors deployed AI systems for compliance policy drift, regulatory changes, and emerging requirements affecting existing AI deployments.",
            "sentence": "Author qualitative research papers on the social dynamics of remote-monitored marine AI systems",
            "similarity": 0.4348
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 12,
        "score": 0.4529,
        "slug": "ai-compliance-officer",
        "total_count": null
      },
      {
        "display_name": "AI Engineer",
        "kra_matches": [
          {
            "kra_text": "Documents AI feature capabilities, known limitations, failure modes, prompt versioning, and operational runbooks for engineering and product teams.",
            "sentence": "Observe and document human-AI collaboration patterns between AUV operators and onboard scientific staff",
            "similarity": 0.4314
          },
          {
            "kra_text": "Integrates AI model API responses with application business logic, database writes, event publishing, and downstream service orchestration.",
            "sentence": "Contribute to interdisciplinary publications across anthropology, marine biology, and AI ethics journals",
            "similarity": 0.4141
          },
          {
            "kra_text": "Defines evaluation frameworks, automated test suites, and human feedback loops to measure AI feature quality, accuracy, and consistency.",
            "sentence": "Author qualitative research papers on the social dynamics of remote-monitored marine AI systems",
            "similarity": 0.3656
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 13,
        "score": 0.4037,
        "slug": "ai-engineer",
        "total_count": null
      },
      {
        "display_name": "AR/VR Engineer",
        "kra_matches": [
          {
            "kra_text": "Debugs visual artifacts, tracking jitter, controller input latency, and interaction edge cases in immersive XR application experiences.",
            "sentence": "Observe and document human-AI collaboration patterns between AUV operators and onboard scientific staff",
            "similarity": 0.4048
          },
          {
            "kra_text": "Debugs visual artifacts, tracking jitter, controller input latency, and interaction edge cases in immersive XR application experiences.",
            "sentence": "Conduct ethnographic field studies aboard research vessels tracking AUV (autonomous underwater vehicle) deployments",
            "similarity": 0.338
          },
          {
            "kra_text": "Develops room-scale locomotion systems, 6DoF interaction mechanics, and comfort-aware movement patterns for immersive VR experiences.",
            "sentence": "Interview marine biologists, AI ethicists, and shipboard crew about deep-sea autonomous decision-making protocols",
            "similarity": 0.3268
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 8,
        "score": 0.3566,
        "slug": "ar-vr-engineer",
        "total_count": null
      },
      {
        "display_name": "ML Ops Engineer",
        "kra_matches": [
          {
            "kra_text": "Automates ML platform operations including scheduled retraining triggers, pipeline orchestration, evaluation workflows, and alerting configuration.",
            "sentence": "Observe and document human-AI collaboration patterns between AUV operators and onboard scientific staff",
            "similarity": 0.3251
          },
          {
            "kra_text": "Automates ML platform operations including scheduled retraining triggers, pipeline orchestration, evaluation workflows, and alerting configuration.",
            "sentence": "Interview marine biologists, AI ethicists, and shipboard crew about deep-sea autonomous decision-making protocols",
            "similarity": 0.3169
          },
          {
            "kra_text": "Maintains model versioning, experiment lineage, and artifact tracking using MLflow, DVC, or Weights \u0026 Biases for reproducibility and auditability.",
            "sentence": "Contribute to interdisciplinary publications across anthropology, marine biology, and AI ethics journals",
            "similarity": 0.31
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 16,
        "score": 0.3173,
        "slug": "ml-ops-engineer",
        "total_count": null
      },
      {
        "display_name": "ML Engineer",
        "kra_matches": [
          {
            "kra_text": "Monitors production model behavior for data drift, concept drift, and prediction performance degradation using monitoring dashboards and alerting.",
            "sentence": "Observe and document human-AI collaboration patterns between AUV operators and onboard scientific staff",
            "similarity": 0.3424
          },
          {
            "kra_text": "Designs end-to-end ML training pipelines and model inference workflows using TensorFlow, PyTorch, or scikit-learn on cloud ML platforms.",
            "sentence": "Contribute to interdisciplinary publications across anthropology, marine biology, and AI ethics journals",
            "similarity": 0.2917
          },
          {
            "kra_text": "Builds model serving infrastructure to deploy trained models as real-time prediction APIs or batch inference jobs using TorchServe, TensorFlow Serving, or SageMaker.",
            "sentence": "Present research at conferences on STS (Science and Technology Studies), oceanography, and AI policy",
            "similarity": 0.2799
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 3,
        "score": 0.3047,
        "slug": "ml-engineer",
        "total_count": null
      }
    ],
    "skill_match_roles": []
  },
  "stage4_decision": {
    "alias_collision_detected": true,
    "case": "B",
    "chosen_role": {
      "display_name": "AI Compliance Officer",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
      "role_id": 12,
      "score": 0.4529,
      "slug": "ai-compliance-officer",
      "total_count": null
    },
    "confidence": 0.4529,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Stage 1 title \u0027Underwater Robotics Ethnographer\u0027 not in catalog; KRA top-2 within margin -\u003e classify into nearest neighbor ai-compliance-officer (0.45)"
  },
  "stage5_updates": {
    "centroid_n_after": 4,
    "centroid_updated": true,
    "collision_log_id": 86,
    "new_kra_attached": null,
    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 1952,
        "role_display_name": "AI Compliance Officer",
        "role_slug": "ai-compliance-officer",
        "skill_name": "AUV",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 1953,
        "role_display_name": "AI Compliance Officer",
        "role_slug": "ai-compliance-officer",
        "skill_name": "Anthropology",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 1954,
        "role_display_name": "AI Compliance Officer",
        "role_slug": "ai-compliance-officer",
        "skill_name": "Marine Biology",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 1955,
        "role_display_name": "AI Compliance Officer",
        "role_slug": "ai-compliance-officer",
        "skill_name": "Science and Technology Studies",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 1956,
        "role_display_name": "AI Compliance Officer",
        "role_slug": "ai-compliance-officer",
        "skill_name": "Oceanography",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 1957,
        "role_display_name": "AI Compliance Officer",
        "role_slug": "ai-compliance-officer",
        "skill_name": "AI Ethics",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 1958,
        "role_display_name": "AI Compliance Officer",
        "role_slug": "ai-compliance-officer",
        "skill_name": "AI Policy",
        "status": "pending"
      }
    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}

API 2 — extract-details

{}

API 3 — final-role-output

{}

LLM Calls

Every model call made for this run, in pipeline order. Click a card to see the model's response.

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