Academic Researchers

AuraOne; United States; Presencial; USD 34.000 - 69.000; A tiempo parcial

Descripción de la vacante

AuraOne is seeking an experienced reviewer to remotely evaluate AI outputs for Academic Researchers workflows. You will grade workflow correctness, policy adherence, and stakeholder fit, and document the next steps for model training.

This contract-based, hourly role requires strong rubrics discipline, clear written reasoning, and reliable async availability for at least 10 hours per week.

Formación

• Direct working experience in academic researchers 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.

Responsabilidades

• Review AI outputs against current academic researchers specialist operations workflows, playbooks, and firm policy for Academic Researchers 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.

Conocimientos

Operational experience

Attention to detail

Written reasoning

Async availability

Rubrics application

Herramientas

AI tooling

Descripción del empleo

About the role

Academic Researchers is a remote review track for evaluating AI outputs across academic researchers 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.
Academic Researchers 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 academic researchers specialist operations workflows, playbooks, and firm policy for Academic Researchers 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.

What you should bring

• Direct working experience in academic researchers specialist operations on real teams for Academic Researchers 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 academic researchers 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
• Academic Researchers specialist operations