Product management / roadmap / PRD Evaluator

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

Job summary

AuraOne seeks a remote contractor to evaluate product management / roadmap / PRD evaluation prompts and responses against a quality rubric. You will review frontier model outputs, label edge cases, and generate structured feedback to retrain the model.

Responsibilities include comparing outputs, tagging issues, and routing ambiguous prompts for rubric updates, with a focus on clear, written rationales and consistent rubric application.

Qualifications

• Experience in product management evaluation or similar domain.
• Ability to apply rubrics consistently across long batches.
• Clear written reasoning that names the issue and rubric clause.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate product management / roadmap / PRD evaluation model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and provide 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.

Skills

Evaluation

Annotation

Attention to detail

Async availability

Education

Linguistics background

Content moderation experience

Trust & Safety review

Tools

Rubrics

Job description

Product management / roadmap / PRD Evaluator is a remote evaluation track for reviewing product management / roadmap / prd 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

About the role

Product management / roadmap / PRD Evaluator is a remote evaluation track for reviewing product management / roadmap / prd 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 product management / roadmap / prd 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 product management / roadmap / prd evaluation model outputs against a versioned rubric and assign severity tags for Product management / roadmap / PRD 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.

Role details

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 product management / roadmap / prd evaluation or adjacent content for Product management / roadmap / PRD 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.

Example tasks

• Compare two product management / roadmap / prd 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
• Product management / roadmap / PRD evaluation

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.