Media / journalism / communications Evaluator

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

Job summary

AuraOne is seeking a Media / journalism / communications Evaluator to review prompts and responses against our quality rubric. You will compare paired outputs, label edge cases, and provide structured feedback for retraining the model.

As a remote contractor, you will evaluate frontier model outputs, judge benchmarks, and calibrate other evaluators. Strong attention to detail and clear written reasoning are essential, with US eligibility.

Qualifications

• Prior evaluation or annotation experience in media/journalism evaluation.
• Ability to apply multi-page rubrics consistently.
• Clear written reasoning citing rubric clauses.
• Attention to detail and ability to flag prompt issues.

Responsibilities

• Evaluate model outputs against a versioned rubric and assign severity.
• Compare paired responses and select the stronger answer with rationale.
• Label hallucinations, instruction-following failures, and unsafe content with tags.
• Capture ambiguous prompts and route to rubric updates.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Media / journalism / communications評価

Job description

Media / journalism / communications Evaluator is a remote evaluation track for reviewing media / journalism / communications 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

Media / journalism / communications Evaluator is a remote evaluation track for reviewing media / journalism / communications evaluation prompts and responses against AuraOne's quality rubric.

About the role

Media / journalism / communications Evaluator is a remote evaluation track for reviewing media / journalism / communications 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 media / journalism / communications 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 media / journalism / communications evaluation model outputs against a versioned rubric and assign severity tags for Media / journalism / communications 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 media / journalism / communications evaluation or adjacent content for Media / journalism / communications 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 media / journalism / communications 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
• Media / journalism / communications 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.