Technical Problem Author (Multi-Domain)

AI Trainer Jobs; United States; Remote; USD 99,000 - 135,000; Full time

Job summary

AuraOne is seeking a Technical Problem Author (Multi-Domain) for a remote reviewer role to evaluate AI outputs across technical problem author workflows. You will assess workflow correctness, policy adherence, and stakeholder fit while flagging operational risk and documenting the right next steps.

As a contractor, you will work remotely from the US, with hourly compensation discussed after interview and program-defined task pacing.

Qualifications

• Direct working experience in technical problem author specialist operations on real teams for Technical Problem Author (Multi-Domain) 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 workflows, playbooks, and firm policy for Technical Problem Author (Multi-Domain) 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.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Technical Problem Author specialist OP

Job description

Technical Problem Author (Multi-Domain) is a remote review track for evaluating AI outputs across technical problem author 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

Technical Problem Author (Multi-Domain) is a remote review track for evaluating AI outputs across technical problem author specialist operations workflows.

About the role

Technical Problem Author (Multi-Domain) is a remote review track for evaluating AI outputs across technical problem author 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.
Technical Problem Author 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 technical problem author specialist operations workflows, playbooks, and firm policy for Technical Problem Author (Multi-Domain) 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 technical problem author specialist operations on real teams for Technical Problem Author (Multi-Domain) 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 technical problem author 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
• Technical Problem Author specialist operations