Robot Demonstration Data Contributor

AuraOne, Inc.; United States; Remote; USD 55,000 - 83,000; Part time

Job summary

AuraOne, Inc. is seeking a Remote Robot Demonstration Data Contributor specialist operations contractor to review AI outputs and ensure alignment with our workflows, playbooks, and policies.

You will grade tone and escalation logic, flag risks, and capture actionable next steps for the modeling team, maintaining calibration scores across batches.

Qualifications

• Direct working experience in robot demonstration data contributor 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 robot demonstration data contributor specialist operations workflows, playbooks, and firm policy for Robot Demonstration Data Contributor 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

Robot Demonstration Data Contributor

Robotics and physical AI

AI evaluation

Rubric writing

Expert review

Job description

Why this role matters

Robot Demonstration Data Contributor 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.

Responsibilities

• Review AI outputs against current robot demonstration data contributor specialist operations workflows, playbooks, and firm policy for Robot Demonstration Data Contributor 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.

Qualifications

• Direct working experience in robot demonstration data contributor specialist operations on real teams for Robot Demonstration Data Contributor 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.

Example tasks

• Grade a model's response to a real robot demonstration data contributor 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.

Nice to have

• 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.

Skills

• Operational review
• Policy adherence
• Workflow judgment
• Stakeholder communication
• Robot Demonstration Data Contributor specialist operations
• Robotics and physical AI
• AI evaluation
• Rubric writing
• Expert review

Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.