GPU Kernel Expert

AI Trainer Jobs; United States; Remote; USD 96,000 - 124,000; Full time

Job summary

AI Trainer Jobs is seeking a GPU Kernel Expert for a remote contract role focused on evaluating AI outputs across gpu kernel operations workflows. Reviewers assess workflow correctness, policy adherence, and stakeholder fit to guide next steps for model tuning.

You will grade tone, escalation logic, and adherence on a structured rubric; flag risks and policy gaps; and document actionable next steps for the modeling team.

Qualifications

• Direct working experience in gpu kernel 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 gpu kernel operations workflows, playbooks, and firm policy for GPU Kernel Expert 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.

Skills

GPU kernel ops

Rubrics application

Written reasoning

Attention to detail

Async availability

Job description

GPU Kernel Expert is a remote review track for evaluating AI outputs across gpu kernel 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: $70–$90 / hr · Location: Remote — US-eligible · Contractor

GPU Kernel Expert is a remote review track for evaluating AI outputs across gpu kernel specialist operations workflows.

Role details

Track

About the role

GPU Kernel Expert is a remote review track for evaluating AI outputs across gpu kernel 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.
GPU Kernel 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 gpu kernel specialist operations workflows, playbooks, and firm policy for GPU Kernel Expert 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.

What you should bring

• Direct working experience in gpu kernel specialist operations on real teams for GPU Kernel Expert 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 gpu kernel 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

$70–$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
• GPU Kernel specialist operations
• Basic Qualifications

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.