Long-Horizon Planning Reasoning Reviewer

AI Trainer Jobs; United States; Remote; USD 28,000 - 55,000; Part time

Job summary

AI Trainer Jobs is seeking a remote contractor to review long horizon planning reasoning outputs. You will assess outputs against a published rubric, label edge cases, and provide structured feedback for retraining the model.

The role emphasizes careful, repeatable annotation and documentation of results. The position requires prior evaluation or annotation experience, strong written reasoning, and reliable async availability for at least 10 hours per week; compensation is hourly and determined

Qualifications

• Prior evaluation, annotation, or human-rater experience on long horizon planning reasoning evaluation or adjacent content.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning naming the issue and rubric clause applied.
• Reliable asynchronous availability for at least 10 hours per week.

Responsibilities

• Evaluate long horizon planning reasoning evaluation model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select 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.

Job description

Long-Horizon Planning Reasoning Reviewer is a remote evaluation track for reviewing long horizon planning reasoning 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: Hourly rate confirmed after the interview process · Location: Remote — US-eligible · Contractor

Long-Horizon Planning Reasoning Reviewer is a remote evaluation track for reviewing long horizon planning reasoning 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.

About the role

Long-Horizon Planning Reasoning Reviewer is a remote evaluation track for reviewing long horizon planning reasoning 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 long horizon planning reasoning 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 long horizon planning reasoning evaluation model outputs against a versioned rubric and assign severity tags for Long-Horizon Planning Reasoning Reviewer 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 Hourly rate confirmed after the interview process. Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on long horizon planning reasoning evaluation or adjacent content for Long-Horizon Planning Reasoning Reviewer 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 long horizon planning reasoning 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

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

• Model output evaluation
• Rubric-based annotation
• Severity tagging
• Inter-rater calibration
• Long Horizon Planning Reasoning evaluation
• Formal reasoning
• Proof review
• Quantitative analysis
• Long
• Horizon
• Planning

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
Placement timing depends on program demand and reviewer confirmation.