Indonesian ChatGPT User

AuraOne

United States

A distancia

USD 69.000 - 83.000

Jornada completa

hace 44 horas
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Descripción de la vacante

AuraOne is seeking a remote Indonesian generalist evaluation reviewer to assess prompts and model outputs against our quality rubric. You will tag issues, write rationales, and help produce auditable feedback for retraining.

Responsibilities include comparing paired responses, labeling inconsistencies and unsafe content with structured tags, and documenting recurring failure modes for the modeling team. This contractor role requires clear reasoning, strong attention to detail, and reliable async

Formación

  • Prior evaluation, annotation, or human-rater experience on Indonesian generalist evaluation or adjacent content for Indonesian ChatGPT User work.
  • Ability to apply multi-page rubrics consistently across long batches.
  • Clear written reasoning that names the issue and the rubric clause.
  • 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.

Responsabilidades

  • Evaluate Indonesian generalist evaluation model outputs against a versioned rubric and assign severity tags for Indonesian ChatGPT User 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.

Conocimientos

Model output evaluation
Rubric-based annotation
Severity tagging
Inter-rater calibration
Indonesian generalist evaluation
Eligibility

Descripción del empleo

Category: Frontier Model Evaluation · Pay: $50 / hr · Location: Remote — US-eligible · Contractor

Indonesian ChatGPT User is a remote evaluation track for reviewing indonesian generalist 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 indonesian generalist evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities
  • Evaluate indonesian generalist evaluation model outputs against a versioned rubric and assign severity tags for Indonesian ChatGPT User 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 indonesian generalist evaluation or adjacent content for Indonesian ChatGPT User 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 indonesian generalist 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
  • Indonesian generalist evaluation
  • Eligibility
Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

$50 / hr

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