Remote EHS Operations AI QA Specialist

AI Trainer Jobs; United States; Remote; USD 97,000 - 138,000; Full time

Benefits offered by this job

Contractor role

Job summary

AI Trainer Jobs is seeking an EHS Specialist for a remote review track evaluating AI outputs across EHS operations. Reviewers assess workflow correctness, policy adherence, and stakeholder fit, flag operational risk, and document the right next step for the modeling team.

EHS specialist operations AI has to fit into an actual day at work. AuraOne uses experienced operators to grade outputs the way a senior peer would - checking workflow, policy, and the unwritten rules that decide whether a task

Qualifications

• Review AI outputs against current ehs specialist operations workflows, playbooks, and firm policy.
• Grade tone, escalation logic, and stakeholder fit on a structured rubric.
• Flag operational risk, missed escalations, and policy-adherence gaps.
• Capture the right next step so the modeling team can train on it.
• Adjudicate disputed treatments against published playbooks or firm guidance.

Responsibilities

• Review AI outputs against current ehs specialist operations workflows, playbooks, and firm policy for EHS Specialist assignments.
• Grade tone, escalation logic, and stakeholder fit on a structured rubric.
• Flag operational risk, missed escalations, and policy-adherence gaps with severity tags.
• Capture the right next step so the modeling team can train on it.
• Adjudicate disputed treatments against published playbooks or firm guidance.

Skills

Operational review

Policy adherence

Workflow judgment

Attention to detail

Bilingual (cross-region)

Tools

AI-assisted tooling

Job description

AI Trainer Jobs is seeking an EHS Specialist for a remote review track evaluating AI outputs across EHS operations. Reviewers assess workflow correctness, policy adherence, and stakeholder fit, flag operational risk, and document the right next step for the modeling team.

EHS specialist operations AI has to fit into an actual day at work. AuraOne uses experienced operators to grade outputs the way a senior peer would - checking workflow, policy, and the unwritten rules that decide whether a task