Senior Plant Reliability Expert - Remote Contract

Clera; United States; Remote; USD 102,000 - 146,000; Full time

Job summary

Clera, hired on behalf of a leading AI lab, is seeking experienced plant reliability specialists to validate a simulated industrial plant used for AI evaluation. You will review benchmarks and provide realism-focused feedback on the synthetic sensor data and plant environment.

Responsibilities include evaluating fault and maintenance scenarios for diagnosability, cost justification, and defensible ground truth, and determining if engineers could diagnose faults from data and justify repairs

Qualifications

• 10+ years of hands-on process-plant experience with rotating equipment.
• Experience with centrifugal pumps, motors, suction strainers, and coolers.
• Fluency in condition monitoring and fault signatures (vibration, bearings, cavitation).
• Familiarity with historian data, P&IDs and maintenance documentation.
• Strong understanding of maintenance economics (work orders, spares, downtime tradeoffs).

Responsibilities

• Review a simulated industrial plant benchmark used for AI evaluation.
• Provide structured feedback on plant environment and synthetic sensor data for realism.
• Assess fault and maintenance scenarios for diagnosability, costs, and ground truth.
• Evaluate whether an engineer could diagnose faults from data and justify repairs.

Skills

Process-plant experience

Vibration analysis

Bearing fault signatures

Cavitation fault signatures

Condition monitoring

P&IDs familiarity

Maintenance economics

Tools

Historian data

Maintenance documentation systems

Shutdown planning tools

Job description

Clera, hired on behalf of a leading AI lab, is seeking experienced plant reliability specialists to validate a simulated industrial plant used for AI evaluation. You will review benchmarks and provide realism-focused feedback on the synthetic sensor data and plant environment.

Responsibilities include evaluating fault and maintenance scenarios for diagnosability, cost justification, and defensible ground truth, and determining if engineers could diagnose faults from data and justify repairs