Open Source Contributor (GitHub)

AI Trainer Jobs; United States; Remote; USD 110,000 - 124,000; Full time

Benefits offered by this job

Remote work

Contractor role

Hourly pay after interview

Job summary

AI Trainer Jobs is seeking an Open Source Contributor (GitHub) for a remote, contractor-level role. You will review AI outputs across open source contributor workflows, assess policy adherence, and judge workflow correctness for US-eligible engagements.

You will provide clear written reasoning, flag risks, and document the next steps to guide the modeling team. The position is remote with contractor terms and hourly compensation; candidates should have hands-on experience with Open Source

Qualifications

• Direct working experience in open source contributor specialist operations on real teams.
• Clear written reasoning that names the policy or workflow being applied.
• Bilingual experience for cross-region operations.

Responsibilities

• Review AI outputs against current open source contributor specialist operations workflows, playbooks, and firm policy for Open Source Contributor (GitHub) 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

Open Source Contributor operations

Job description

Open Source Contributor (GitHub) is a remote review track for evaluating AI outputs across open source contributor 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

Open Source Contributor (GitHub) is a remote review track for evaluating AI outputs across open source contributor specialist operations workflows.

About the role

Open Source Contributor (GitHub) is a remote review track for evaluating AI outputs across open source contributor 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.
Open Source 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.
Judge tool-use tasks and enterprise agent behavior. Operational judgment is the skill.

Responsibilities

• Review AI outputs against current open source contributor specialist operations workflows, playbooks, and firm policy for Open Source Contributor (GitHub) 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 open source contributor specialist operations on real teams for Open Source Contributor (GitHub) 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 open source 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.

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
• Open Source Contributor specialist operations

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

• 01 Confirm profile and eligibility details.
• 02 Attach this role deliberately.
• 03 Receive a human review decision or follow-up.

Placement timing depends on program demand and reviewer confirmation.