Data Annotation (Spanish Speaker) is a remote Spanish specialist track for evaluating spanish annotation 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 Spanish 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 Spanish users.
Review translation and localization work. Dialect and cultural context matter here.
Responsibilities
Evaluate Spanish model responses for fluency, accuracy, register, and cultural fit for Data Annotation (Spanish Speaker) assignments.
Compare paired spanish annotation 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 Spanish 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 Spanish fluency with strong written-English ability for Data Annotation (Spanish Speaker) work.
Demonstrable experience editing, translating, or evaluating Spanish 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 Spanish responses to a customer-support prompt and pick the better one with a 1-2 sentence rationale.
Flag formality mismatches in spanish annotation outputs (T/V usage, honorifics, regional register).
Rewrite a model's Spanish 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 Spanish 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
Spanish annotation
Application process
Submitting this form sends your application directly to the recruiting team for this specialist cohort.
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