Node.js Jobs in Web3

Core Review Duties

• Review cases escalated by ROCA where confidence score falls below the auto-decision threshold, using AI-assisted signals within the unified case review UI (no multi-system switching)
• Make accurate pass / block / escalate decisions on a daily queue spanning KYC Audit, ATO investigation, Reset 2FA, POA Review, and Withdrawal anomaly case types etc.
• Escalate Key User cases (Priority ≥ 75) and high-risk patterns to Senior Agent / Team Lead with clear rationale documentation
• Maintain SLA compliance (<4h manual resolution time) while sustaining decision accuracy ≥ 98%

AI Feedback & Pipeline Contribution

• Label every reviewed case as TP / TN / FP / FN with structured root-cause annotations — this data directly feeds ROCA's continuous learning pipeline
• Identify recurring FP/FN patterns and route them through the correct feedback path:
  • Type A — Feature weight bias → trigger model retraining / fine-tune
  • Type B — Threshold miscalibration → update Decision Hub rules (with A/B validation)
  •  Type C — SOP gap or logic error → update SOP (version-tracked)
• Actively contribute to improving Precision (>95%) and Recall (>99%) targets by surfacing systematic signal failures to Data and Model teams
• Participate in regular AI model calibration sessions: review misclassification batches, validate ground truth, challenge decision thresholds with data

SOP & Knowledge Management

• Maintain and update Confluence SOP pages for assigned case types; SOP coverage rate target ≥ 80% (directly impacts ROCA first-pass accuracy)
• Flag SOP coverage gaps when ROCA's reasoning chain reveals unhandled scenarios; draft SOP additions for Team Lead review
• Onboard and calibrate BPO agents on AI-assisted review workflows; monitor BPO quality against automated QA benchmarks

• Experience in crypto / Web3 / VASP risk environment; familiarity with blockchain transaction patterns (Sybil attacks, wash trading, mule account indicators)
• Exposure to ML model evaluation concepts: Precision, Recall, F1, confusion matrix — you don't need to build models, but you need to speak the language
• Familiarity with prompt engineering or LLM evaluation workflows; experience reviewing or testing AI-generated decisions at scale
• CAMS, CFE, or equivalent AML / fraud certification
• Prior involvement in SOP authoring, QA calibration, or BPO oversight for a risk operations team