Remote AI Workflow Quality Analyst

AI Trainer Jobs; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

AI Trainer Jobs seeks a Company Intelligence Analyst to remotely evaluate AI outputs across enterprise workflows. You will review, rate, and document improvements to policies and playbooks for ongoing model training, operating as part of a distributed team.

Excellent judgment, detailed notes, and the ability to apply multi-page rubrics across batches are required. This contractor role requires at least 10 hours per week with flexible scheduling.

Qualifications

• Direct working experience in company intelligence analyst specialist operations on real teams for Company Intelligence 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.

Responsibilities

• Review AI outputs against current company intelligence analyst specialist operations workflows, playbooks, and firm policy for Company Intelligence 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.

Skills

Company intelligence analyst exp

Bilingual experience

Attention to detail

Policy adherence

Workflow judgment

Tools

AI tooling familiarity

Job description

AI Trainer Jobs seeks a Company Intelligence Analyst to remotely evaluate AI outputs across enterprise workflows. You will review, rate, and document improvements to policies and playbooks for ongoing model training, operating as part of a distributed team.

Excellent judgment, detailed notes, and the ability to apply multi-page rubrics across batches are required. This contractor role requires at least 10 hours per week with flexible scheduling.