German Music & Lyrics Evaluation Specialist-Remote

AI Trainer Jobs; United States; Remote; USD 41,000 - 80,000; Part time

Job summary

AuraOne is seeking a Music & Lyrics Expert - German to remotely review generalist evaluation prompts and responses against AuraOne's quality rubric. Reviewers compare paired outputs, label edge cases, and write the structured feedback the modeling team can use to retrain.

Responsibilities include evaluating German outputs against a versioned rubric, selecting the stronger answer with rationale, tagging hallucinations and unsafe content, and capturing ambiguous prompts for rubric updates.

Qualifications

• Experience with evaluation, annotation, or human-rater work in German content is preferred.
• Ability to apply long rubrics consistently across large batches.
• Clear written reasoning that names the issue and cites the rubric clause.
• Strong attention to detail and ability to flag when a prompt is problematic.
• Reliable asynchronous availability for at least 10 hours per week.

Responsibilities

• Evaluate German generalist 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.
• Maintain reviewer-quality scores by calibrating against gold-standard examples weekly.

Skills

German language evaluation

Attention to detail

Clear written reasoning

Inter-rater calibration

German linguistics background

Job description

AuraOne is seeking a Music & Lyrics Expert - German to remotely review generalist evaluation prompts and responses against AuraOne's quality rubric. Reviewers compare paired outputs, label edge cases, and write the structured feedback the modeling team can use to retrain.

Responsibilities include evaluating German outputs against a versioned rubric, selecting the stronger answer with rationale, tagging hallucinations and unsafe content, and capturing ambiguous prompts for rubric updates.