Remote AI Quality Reviewer - Computational Engineering

AuraOne

United States

On-site

USD 82,656 - 165,312

Full time

14 days+

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Job summary

AuraOne is seeking a Computational Engineering Expert to remotely assess AI outputs within expert operations workflows. The role focuses on grading workflow correctness, policy adherence, and stakeholder fit, while flagging risks and documenting next steps for model training.

The contractor will apply multi-page rubrics, ensure clear written reasoning, and maintain high reviewer quality across batches. 10+ hours weekly async availability is expected.

Qualifications

  • Direct working experience in computational engineering specialist operations on real teams for Computational Engineering 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.

Responsibilities

  • Review AI outputs against current computational engineering specialist operations workflows, playbooks, and firm policy for Computational Engineering 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.
  • 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
Computational Engineering operations

Job description

AuraOne is seeking a Computational Engineering Expert to remotely assess AI outputs within expert operations workflows. The role focuses on grading workflow correctness, policy adherence, and stakeholder fit, while flagging risks and documenting next steps for model training.

The contractor will apply multi-page rubrics, ensure clear written reasoning, and maintain high reviewer quality across batches. 10+ hours weekly async availability is expected.

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