Model Failure Analyst

AI Trainer Jobs

United States

Remote

USD 41,000 - 69,000

Full time

3 days ago
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Benefits offered by this job

Remote work
Contractor role

Job summary

AI Trainer Jobs is seeking a Model Failure Analyst to remotely review AI outputs within specialist operations workflows. You will grade workflow correctness, policy adherence, and stakeholder fit, flag operational risk, and document next steps for training the modeling team.

Role emphasizes completing reviews with clear, written reasoning and reliable async availability of at least 10 hours per week as a contractor in a US-based program.

Qualifications

  • Direct working experience in model failure analyst operations on real teams.
  • Ability to apply 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 workflows, playbooks, and firm policy for 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

Tools

AI-assisted workflow tooling

Job description

About the role

Model Failure Analyst is a remote review track for evaluating AI outputs across model failure analyst 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.
Model Failure Analyst 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 model failure analyst specialist operations workflows, playbooks, and firm policy for Model Failure Analyst 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 Hourly rate confirmed after the interview process. Eligible from US

What you should bring

  • Direct working experience in model failure analyst specialist operations on real teams for Model Failure Analyst 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 model failure analyst 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
  • Model Failure Analyst specialist operations
  • Cross-cutting evaluation roles
  • AI evaluation
  • Rubric writing
  • Expert review
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