Environment & Sustainability Expert

AI Trainer Jobs

United States

Remote

USD 83,000 - 152,000

Full time

2 days ago
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Job summary

AI Trainer Jobs is seeking a remote Environment & Sustainability Expert reviewer to evaluate AI outputs within sustainability operations workflows. You will assess tone, policy adherence, and stakeholder fit, and document the next steps for training the modeling team.

The role is contractor-based, with an hourly rate of $85, and requires reliable asynchronous availability of at least 10 hours per week from a US-eligible remote location.

Qualifications

  • Direct working experience in environment sustainability specialist operations on real teams for Environment & Sustainability Expert work.
  • Ability to apply multi-page rubrics consistently across long batches.
  • Clear written reasoning that names the policy or workflow being applied.
  • Reliable async availability for at least 10 hours per week.

Responsibilities

  • Review AI outputs against current environment sustainability specialist operations workflows, playbooks, and firm policy for Environment & Sustainability Expert 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.

Job description

Environment & Sustainability Expert is a remote review track for evaluating AI outputs across environment sustainability specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; and document the right next step so the modeling team can train on it.

Category: Enterprise Workflow & Tool Use · Pay: $85 / hr · Location: Remote — US-eligible · Contractor

Environment & Sustainability Expert is a remote review track for evaluating AI outputs across environment sustainability specialist operations workflows.

Environment & Sustainability Expert is a remote review track for evaluating AI outputs across environment sustainability specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; and document the right next step so the modeling team can train on it.
Environment Sustainability 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 actually gets done.
Judge tool-use tasks and enterprise agent behavior. Operational judgment is the skill.

Responsibilities
  • Review AI outputs against current environment sustainability specialist operations workflows, playbooks, and firm policy for Environment & Sustainability Expert 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.
Role details

Track Operations & business review Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring
  • Direct working experience in environment sustainability specialist operations on real teams for Environment & Sustainability Expert work.
  • Comfort applying multi-page rubrics consistently across long batches.
  • Clear written reasoning that names the policy or workflow being applied.
  • Strong attention to detail and the ability to flag when a prompt itself is the problem.
  • Reliable async availability for at least 10 hours per week.
Role signals
Example tasks
  • Grade a model's response to a real environment sustainability specialist operations ticket and rate workflow, tone, and escalation.
  • Flag a missed escalation with the right severity tag and corrected next step.
  • Adjudicate a disputed playbook call between two reviewers using firm guidance.
  • Audit a 25-row batch for rubric consistency and report drift to the program lead.
Useful experience
  • Prior experience training, calibrating, or QA-ing operations teams.
  • Familiarity with AI-assisted workflow tooling and its failure modes.
  • Bilingual experience for cross-region operations.
Compensation and schedule

Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching
  • Operational review
  • Policy adherence
  • Workflow judgment
  • Stakeholder communication
  • Environment Sustainability specialist operations
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