Generalist - English & Tamil

AI Trainer Jobs

United States

Remote

USD 21,000 - 28,000

Full time

2 days ago
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Benefits offered by this job

Contractor
Remote work

Job summary

AI Trainer Jobs is seeking a Generalist - English & Tamil for a remote evaluation track. Review prompts and responses, compare pairs, label edge cases, and write structured feedback to retrain AuraOne's data models.

This contractor role pays $15–$20 per hour, with US eligibility and task-volume driven placement. Strong attention to detail and clear reasoning are essential; reliable async availability of at least 10 hours weekly is expected.

Qualifications

  • Prior evaluation, annotation, or human-rater experience on generalist english tamil evaluation or adjacent content.
  • Ability to apply multi-page rubrics consistently across long batches.
  • Clear written reasoning that names the issue and the rubric clause being applied.
  • Reliable async availability for at least 10 hours per week.
  • Strong attention to detail and the ability to flag when a prompt itself is the problem.

Responsibilities

  • Evaluate generalist english tamil evaluation model outputs against a versioned rubric and assign severity tags for Generalist - English & Tamil 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.

Skills

Generalist English Tamil evaluation
Inter-rater calibration
Rubric-based annotation
Quality rubric review

Job description

Generalist - English & Tamil is a remote evaluation track for reviewing generalist english tamil 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: $15–$20 / hr · Location: Remote — US-eligible · Contractor

Generalist - English & Tamil is a remote evaluation track for reviewing generalist english tamil evaluation prompts and responses against AuraOne's quality rubric.

Role details
About the role

Generalist - English & Tamil is a remote evaluation track for reviewing generalist english tamil 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 generalist english tamil 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 generalist english tamil evaluation model outputs against a versioned rubric and assign severity tags for Generalist - English & Tamil 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.
What you should bring
  • Prior evaluation, annotation, or human-rater experience on generalist english tamil evaluation or adjacent content for Generalist - English & Tamil 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 generalist english tamil 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

$15–$20 / hr
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
  • Generalist English Tamil 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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