Materials & Engineering Specialist

AI Trainer Jobs; United States; Remote; USD 83,000 - 124,000; Part time

Benefits offered by this job

Remote work

Contractor status

Job summary

AI Trainer Jobs seeks a Materials & Engineering Specialist for a remote review track evaluating AI outputs across materials engineering specialist operations. 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.

Experience in materials engineering operations on real teams is required; strong rubric application, clear justification of policy decisions, and reliable async

Qualifications

• Direct working experience in materials engineering specialist operations on real teams for Materials & Engineering Specialist work.
• Clear written reasoning naming the policy or workflow being applied.
• Ability to apply multi-page rubrics consistently across long batches.
• Strong attention to detail and reliability in async availability

Responsibilities

• Review AI outputs against current workflows, playbooks, and firm policy for Materials & Engineering Specialist 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.

Tools

AI tooling

Job description

Materials & Engineering Specialist is a remote review track for evaluating AI outputs across materials engineering 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: $60–$90 / hr · Location: Remote — US-eligible · Contractor

Materials & Engineering Specialist is a remote review track for evaluating AI outputs across materials engineering specialist operations workflows.

Role details

About the role

Materials & Engineering Specialist is a remote review track for evaluating AI outputs across materials engineering 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.
Materials Engineering 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 materials engineering specialist operations workflows, playbooks, and firm policy for Materials & Engineering Specialist 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.Track Operations & business review Work model Remote · Independent specialist contractor Compensation $60–$90 / hr Eligible from US

What you should bring

• Direct working experience in materials engineering specialist operations on real teams for Materials & Engineering Specialist 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 materials engineering 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

$60–$90 / hr
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
• Materials Engineering specialist operations