Tajik Language Expert

AI Trainer Jobs; United States; Remote; USD 28,000 - 55,000; Full time

Benefits offered by this job

Remote work

Contractor

Job summary

AuraOne is seeking a Tajik Language Expert to support remote evaluation of prompts and responses against our quality rubric. You will compare outputs, label edge cases, and provide structured feedback to help retrain the model.

This contractor role offers hourly compensation after interview, with flexible task volumes and remote work across the US. Prior linguistics or trust & safety review experience is valued, and strong attention to detail is essential.

Qualifications

• Prior evaluation, annotation, or human-rater experience on Tajik language evaluation or adjacent content.
• 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.

Responsibilities

• Evaluate Tajik language evaluation model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select 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

Tajik evaluation experience

Job description

Tajik Language Expert is a remote evaluation track for reviewing tajik language 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

Tajik Language Expert is a remote evaluation track for reviewing tajik language evaluation prompts and responses against AuraOne's quality rubric.

Role details

About the role

Tajik Language Expert is a remote evaluation track for reviewing tajik language 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 tajik language 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 tajik language evaluation model outputs against a versioned rubric and assign severity tags for Tajik Language 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.

What you should bring

• Prior evaluation, annotation, or human-rater experience on tajik language evaluation or adjacent content for Tajik Language 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 tajik language 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


• Tajik Language evaluation