Economics Professor - AI Trainer (Contract)

AuraOne, Inc.; United States; Remote; USD 34,000 - 69,000; Part time

Benefits offered by this job

Remote work

Contractor role

US eligibility

Job summary

AuraOne, Inc. is seeking a remote Economics Professor - AI Trainer (Contract) to review evaluation prompts and responses against our quality rubric.

You will compare paired outputs, label edge cases, and provide structured feedback for retraining. Responsibilities include evaluating model outputs against a versioned rubric, tagging severities, and documenting recurring failure modes to help the modeling team improve future training runs.

Qualifications

• Prior evaluation, annotation, or human-rater experience on economics ai trainer evaluation or adjacent content.
• 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.

Responsibilities

• Evaluate economics professor ai trainer evaluation model outputs against a versioned rubric and assign severity tags for Economics Professor - AI Trainer (Contract) 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.
• Maintain reviewer-quality scores by calibrating against gold-standard examples each week.
• Document recurring failure modes so the modeling team can target them in the next training run.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Economics professor AI trainer eval

AI model evaluation

LLM experience

Analytical thinking

Job description

Economics Professor - AI Trainer (Contract) is a remote evaluation track for reviewing economics professor ai trainer 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.

Why this role matters

AI data reviewers help turn economics professor ai trainer evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

• Evaluate economics professor ai trainer evaluation model outputs against a versioned rubric and assign severity tags for Economics Professor - AI Trainer (Contract) 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.
• Maintain reviewer-quality scores by calibrating against gold-standard examples each week.
• Document recurring failure modes so the modeling team can target them in the next training run.

Qualifications

• Prior evaluation, annotation, or human-rater experience on economics professor ai trainer evaluation or adjacent content for Economics Professor - AI Trainer (Contract) 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 economics professor ai trainer 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.

Nice to have

• 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.

Skills

• Model output evaluation
• Rubric-based annotation
• Severity tagging
• Inter-rater calibration
• Economics Professor AI Trainer evaluation
• AI model evaluation
• Analytical thinkingLLM experience
• Data annotation
• Literacy
• Presentation developmentAI

Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.

Prior evaluation, annotation, or human-rater experience on economics professor ai trainer evaluation or adjacent content for Economics Professor - AI Trainer (Contract) 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.