Entry-Level AI Evaluation Specialist is a remote review track for evaluating AI outputs across ai training 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.
AI training 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 ai training workflows, playbooks, and firm policy for Entry-Level AI Evaluation Specialist 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.
What you should bring
Direct working experience in ai training on real teams for Entry-Level AI Evaluation Specialist 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 ai training 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
$30 / 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
AI training
AI model evaluation
Analytical thinkingLLM experience
Data annotation
Literacy
Presentation developmentAI
Application process
Submitting this form sends your application directly to the recruiting team for this specialist cohort.
