Open Source GitHub Maintainer

AuraOne; United States; Remote; USD 99,000 - 135,000; Full time

Job summary

AuraOne is seeking a remote contractor to review AI outputs for open source GitHub Maintainer operations. You will assess workflows, policy adherence, and escalation logic, providing clear, structured feedback to ensure tasks align with firm guidelines.

The role requires attention to detail and the ability to document next steps for model training, with part-time, async availability and a remote-US eligible setup.

Qualifications

• Experience reviewing complex open source workflows and playbooks.
• Clear, written reasoning naming the policy/workflow applied.
• Strong attention to detail and ability to flag prompts issues.
• Reliable async availability for 10+ hours per week.

Responsibilities

• Review AI outputs against open source maintainer workflows and firm policy.
• Grade tone, escalation logic, and stakeholder fit on a rubric.
• Flag operational risk, missed escalations, and policy-adherence gaps with severity tags.
• Capture the right next steps for model training.
• Adjudicate disputed playbook calls using firm guidance.
• Maintain reviewer-quality scores across calibration cycles.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Open Source GitHub Maintainer ops

Job description

Category: Enterprise Workflow & Tool Use · Pay: $85 / hr · Location: Remote — US-eligible · Contractor

Open Source GitHub Maintainer is a remote review track for evaluating AI outputs across open source github maintainer 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.

Why this role matters

Open Source GitHub Maintainer 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 open source github maintainer specialist operations workflows, playbooks, and firm policy for Open Source GitHub Maintainer 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 open source github maintainer specialist operations on real teams for Open Source GitHub Maintainer 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 open source github maintainer 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


• Open Source GitHub Maintainer specialist operations

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.