Hindi Bilingual Expert — AI Evaluation

AuraOne Human Data

United States

Remote

USD 28,000 - 55,000

Full time

14 days+

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Job summary

AuraOne, Inc. is seeking a Hindi bilingual Expert for AI evaluation. This remote contractor role focuses on reviewing Hindi prompts and responses, applying AuraOne's quality rubric, and providing structured feedback for retraining the model.

You will compare paired outputs, label edge cases, and document recurring failure modes for the modeling team. Ability to write clear rationales and maintain calibration scores weekly is essential.

Qualifications

  • Experience evaluating Hindi generalist content or similar AI evaluation tasks.
  • Ability to apply rubrics consistently across long assessment batches.
  • Clear, written rationales referencing rubric clauses.
  • Strong attention to detail and ability to flag prompt issues.
  • Reliable availability for at least 10 hours per week.

Responsibilities

  • Evaluate Hindi generalist prompts and model outputs against a versioned rubric.
  • Compare paired responses and select the stronger one with rationale.
  • Label edge cases and unsafe content with structured tags.
  • Route ambiguous prompts to the program team for rubric updates.
  • Maintain reviewer-quality scores by calibration against gold-standard examples.
  • Document recurring failure modes for future training runs.

Skills

Hindi language evaluation experience
Rubric-based annotation
Attention to detail
Structured feedback writing
Async availability 10+ hours/week

Job description

Hindi Bilingual Expert — AI Evaluation is a remote evaluation track for reviewing hindi 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 hindi generalist evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities
  • Evaluate hindi generalist evaluation model outputs against a versioned rubric and assign severity tags for Hindi Bilingual Expert — AI Evaluation 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 hindi generalist evaluation or adjacent content for Hindi Bilingual Expert — AI Evaluation 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 hindi 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
  • Hindi generalist evaluation
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.

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