Geopolitical AI Risk Evaluator - Remote Contractor

AuraOne Human Data

United States

Remote

USD 55,000 - 96,000

Full time

14 days+

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Benefits offered by this job

Remote work
Contractor engagement
Flexible schedule

Job summary

AuraOne, Inc. seeks a Geopolitical Risk Advisor for AI Evaluation working remotely (US-eligible). You will review AI outputs, assess policy adherence, and grade workflow alignment across geopolitical risk advisor operations.

The role is a contractor engagement requiring reliable weekly async availability of at least 10 hours. You will document next steps to train the modeling team and help calibrate reviewer scoring.

Qualifications

  • Direct working experience in geopolitical risk advisor specialist operations on real teams.
  • 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.

Responsibilities

  • Review AI outputs against current geopolitical risk advisor 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 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.
  • Maintain reviewer-quality scores in inter-rater calibration cycles.

Skills

Operational review
Policy adherence
Workflow judgment
Stakeholder communication
Geopolitical Risk Advisor specialist

Job description

AuraOne, Inc. seeks a Geopolitical Risk Advisor for AI Evaluation working remotely (US-eligible). You will review AI outputs, assess policy adherence, and grade workflow alignment across geopolitical risk advisor operations.

The role is a contractor engagement requiring reliable weekly async availability of at least 10 hours. You will document next steps to train the modeling team and help calibrate reviewer scoring.

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