News Monitoring Task Evaluator

News Monitoring Task Evaluator is a remote evaluation track for reviewing news monitoring task 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 news monitoring task evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

Evaluate news monitoring task evaluation model outputs against a versioned rubric and assign severity tags for News Monitoring Task 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.

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 news monitoring task evaluation or adjacent content for News Monitoring Task 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 news monitoring task 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

News Monitoring Task evaluation

Web research

Source grounding

Browser automation

News

Monitoring

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 news monitoring task evaluation or adjacent content for News Monitoring Task 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.

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