Human Data / Language, Localization & Culture
Generalist (Greek Speaker) — AI Output Reviewer
Generalist (Greek Speaker) — AI Output Reviewer is a remote Greek specialist track for evaluating greek evaluation outputs against native-speaker standards.
About the role
Generalist (Greek Speaker) — AI Output Reviewer is a remote Greek specialist track for evaluating greek evaluation outputs against native-speaker standards. Reviewers spot fluency, register, and cultural-context errors that automated checks miss, and write structured rationale that the modeling team can act on in the next training cycle.
Multilingual model quality depends on reviewers who can read Greek the way a native speaker does. AuraOne uses these reviewers to set the bar for tone, formality, and cultural register before a model ever ships to Greek users.
Review translation and localization work. Dialect and cultural context matter here.
Responsibilities
- Evaluate Greek model responses for fluency, accuracy, register, and cultural fit for Generalist (Greek Speaker) — AI Output Reviewer assignments.
- Compare paired greek evaluation outputs and pick the stronger response with a written rationale.
- Flag hallucinations, code-switching errors, and formality mismatches with task-specific severity tags.
- Capture native-speaker edits that demonstrate the correct phrasing alongside each issue.
- Calibrate against the AuraOne Greek rubric in weekly reviewer-quality cycles.
- Surface ambiguous prompts back to the program team so the rubric can be sharpened.
- Maintain reviewer notes that document tricky idioms, regionalisms, and emerging usage.
What you should bring
- Native or near-native Greek fluency with strong written-English ability for Generalist (Greek Speaker) — AI Output Reviewer work.
- Demonstrable experience editing, translating, or evaluating Greek content.
- Comfort applying multi-page rubrics consistently across long evaluation batches.
- Clear written reasoning that names the issue and the standard being applied.
- Reliable async availability for at least 10 hours per week.
- Prior model-evaluation, annotation, or human-rater experience is a plus.
Role signals
Example tasks
- Score a pair of Greek responses to a customer-support prompt and pick the better one with a 1-2 sentence rationale.
- Flag formality mismatches in greek evaluation outputs (T/V usage, honorifics, regional register).
- Rewrite a model's Greek response so it reads naturally and tag the original error category.
- Audit a 50-row evaluation batch for rubric consistency and surface drift back to the program lead.
Useful experience
- Background in Greek linguistics, journalism, or translation studies.
- Experience with TMS tools, MQM error taxonomies, or other structured QA frameworks.
- Familiarity with LLM evaluation rubrics and inter-rater agreement workflows.
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
- Multilingual evaluation
- Native-speaker review
- Rubric application
- LLM output evaluation
- Greek evaluation
Application process
Submitting this form sends your application directly to the recruiting team for this specialist cohort.
About AuraOne
AuraOne is a human data company for AI teams and a workflow service for enterprises. It supplies expert judgment, speech, physical-world data and checked workflows.