Process improvement / SOPs Evaluator

AI Trainer Jobs; United States; Remote; USD 110,000 - 165,000; Full time

Job summary

AI Trainer Jobs is seeking a remote contractor to evaluate process improvement / SOP prompts and responses against AuraOne's quality rubric. You will compare paired outputs, label edge cases, and write structured feedback the modeling team can use to retrain.

As an AI data reviewer, you will help convert outputs into auditable labels, rationales, and regression cases for AuraOne Human Data, review frontier model outputs, and calibrate other reviewers.

Qualifications

• Experience evaluating prompts using a rubric and providing structured feedback.
• Ability to label edge cases and document rationale clearly.
• Strong attention to detail and written reasoning.

Responsibilities

• Evaluate process improvement / sops evaluation model outputs against rubric.
• Compare paired responses and select the stronger with rationale.
• Tag hallucinations, instruction-following failures, and unsafe content with structured tags.
• Collate findings and provide actionable feedback to retrain models.

Skills

Inter-rater calibration

Linguistics background

Content moderation

Trust & Safety review

Annotation experience

Job description

Process improvement / SOPs Evaluator is a remote evaluation track for reviewing process improvement / sops evaluation prompts and responses against AuraOne's quality rubric. Reviewers compare paired outputs, label edge cases, and write the kind of structured feedback the modeling team can use to retrain.

Category: Frontier Model Evaluation · Pay: $80–$120 / hr · Location: Remote — US-eligible · Contractor

Role details

About the role

Process improvement / SOPs Evaluator is a remote evaluation track for reviewing process improvement / sops evaluation prompts and responses against AuraOne's quality rubric. Reviewers compare paired outputs, label edge cases, and write the kind of structured feedback the modeling team can use to retrain.
AI data reviewers help turn process improvement / sops evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Review frontier model outputs. Judge benchmark failures and calibrate other evaluators.

Responsibilities

• Evaluate process improvement / sops evaluation model outputs against a versioned rubric and assign severity tags for Process improvement / SOPs Evaluator assignments.
• Compare paired responses and pick the stronger answer with a written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them back to the program team for rubric updates.Track Evaluation & annotation Work model Remote · Independent specialist contractor Compensation $80–$120 / hr Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on process improvement / sops evaluation or adjacent content for Process improvement / SOPs Evaluator work.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the issue and the rubric clause 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

• Compare two process improvement / sops evaluation model responses to the same prompt and pick the stronger one with rationale.
• Tag an unsafe response with the correct policy category and severity.
• Audit a 50-row batch for rubric consistency and report drift to the program lead.
• Propose a rubric clarification after spotting a recurring failure mode.

Useful experience

• Background in linguistics, content moderation, or trust & safety review.
• Experience with inter-rater agreement metrics and calibration cycles.
• Domain expertise that lets you spot subject-matter errors automated checks miss.

Compensation and schedule

$80–$120 / 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

• Model output evaluation
• Rubric-based annotation
• Severity tagging
• Inter-rater calibration
• Process improvement / SOPs evaluation