Sinhala Bilingual Expert

AI Trainer Jobs

United States

Remote

USD 21,000 - 34,000

Part time

2 days ago
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Job summary

AI Trainer Jobs is seeking a Sinhala Bilingual Expert for a remote evaluation track. You will review Sinhala bilingual prompts and responses against AuraOne's rubric, label edge cases, and provide structured feedback to retrain models.

Review frontier model outputs and calibrate evaluators. Responsibilities include evaluating model outputs, selecting stronger answers with rationale, and tagging content with the correct policy categories.

Qualifications

  • Experience evaluating Sinhala bilingual content.
  • Ability to apply multi-page rubrics consistently.
  • Clear written reasoning that names the issue and rubric clause.
  • Reliable async availability for at least 10 hours per week.

Responsibilities

  • Evaluate Sinhala bilingual evaluation model outputs against a versioned rubric and assign severity tags.
  • Compare paired responses and justify 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.

Skills

Sinhala bilingual eval
Annotation experience
Attention to detail

Job description

Sinhala Bilingual Expert is a remote evaluation track for reviewing sinhala bilingual 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.

Category: Frontier Model Evaluation · Pay: Hourly rate confirmed after the interview process · Location: Remote — US-eligible · Contractor

Sinhala Bilingual Expert is a remote evaluation track for reviewing sinhala bilingual evaluation prompts and responses against AuraOne's quality rubric.

Role details
About the role

Sinhala Bilingual Expert is a remote evaluation track for reviewing sinhala bilingual 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.
AI data reviewers help turn sinhala bilingual evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Review frontier model outputs. Judge benchmark failures and calibrate other evaluators.

Responsibilities
  • Evaluate sinhala bilingual evaluation model outputs against a versioned rubric and assign severity tags for Sinhala Bilingual Expert 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.Track Evaluation & annotation Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US
What you should bring
  • Prior evaluation, annotation, or human-rater experience on sinhala bilingual evaluation or adjacent content for Sinhala Bilingual Expert 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.
Role signals
Example tasks
  • Compare two sinhala bilingual 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.
Useful experience
  • 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.
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
  • Model output evaluation
  • Rubric-based annotation
  • Severity tagging
  • Inter-rater calibration
  • Sinhala Bilingual evaluation
Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
- 01 Confirm profile and eligibility details.
- 02 Attach this role deliberately.
- 03 Receive a human review decision or follow-up.
Placement timing depends on program demand and reviewer confirmation.

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