Journalist/Writer

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

Job summary

AI Trainer Jobs is seeking a Journalist/Writer for a remote evaluation track. You will review prompts and responses against AuraOne’s rubric, label edge cases, and write structured feedback to retrain models.

This is a remote, contract-based role with a flexible schedule and hourly compensation to be confirmed after interview. Responsibilities include evaluating model outputs, comparing responses, tagging issues, and calibrating against gold standards.

Qualifications

• Prior evaluation or annotation experience in journalist/writer content.
• Ability to apply multi-page rubrics consistently.
• Clear written reasoning naming the issue and the rubric clause.
• Reliable remote availability for 10+ hours per week.

Responsibilities

• Evaluate journalist/writer evaluation model outputs against a versioned rubric and assign severity tags for Journalist/Writer 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.

Skills

Evaluation experience

Annotation

Written reasoning

Inter-rater calibration

Job description

Journalist/Writer is a remote evaluation track for reviewing journalist/writer 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

Journalist/Writer is a remote evaluation track for reviewing journalist/writer 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.

Role details

About the role

Journalist/Writer is a remote evaluation track for reviewing journalist/writer 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 journalist/writer 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 journalist/writer evaluation model outputs against a versioned rubric and assign severity tags for Journalist/Writer 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.

What you should bring

• Prior evaluation, annotation, or human-rater experience on journalist/writer evaluation or adjacent content for Journalist/Writer 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 journalist/writer 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
• Journalist/Writer evaluation