AI EHS Specialist for Safety-Critical AI

Ideagen-; Ruddington; Hybrid; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Hybrid work model

Benefits at Ideagen

Job summary

Ideagen is seeking an AI EHS Specialist to apply real-world safety expertise to how AI systems understand and respond to risk. The role focuses on data labeling, incident classification, and regulatory interpretation in safety-critical contexts.

The position is hybrid, with three days a week in the head office in Ruddington, Nottinghamshire. You’ll collaborate with AI engineers and safety leads to ensure safe, compliant decision-making at scale.

Qualifications

• Operational EHS experience including incident investigations.
• Evidence of applied EHS qualifications (e.g., NEBOSH GC).
• Ability to explain why EHS responses are safe or unsafe in writing.
• Comfort evaluating decisions at scale with accuracy.

Responsibilities

• Label EHS training data per guidelines (incidents, permits, SIF, hazards).
• Evaluate model outputs against rubrics and justify correct responses.
• Test AI on high‑risk scenarios to reflect real operations.
• Identify edge cases in red-team exercises and regulatory overlaps.
• Help curate EHS regulatory sources and guidelines.
• Work with AI engineers to turn practitioner feedback into model improvements.
• Ensure AI decisions support safe, responsible actions.

Skills

Incident investigation

Risk assessment

Permit-to-work

EHS compliance

NEBOSH qualification

Written communication

Judgement under high risk

AI/Tech interest

Education

NEBOSH National General Certificate

Job description

Ideagen is seeking an AI EHS Specialist to apply real-world safety expertise to how AI systems understand and respond to risk. The role focuses on data labeling, incident classification, and regulatory interpretation in safety-critical contexts.

The position is hybrid, with three days a week in the head office in Ruddington, Nottinghamshire. You’ll collaborate with AI engineers and safety leads to ensure safe, compliant decision-making at scale.