Turkish Language Expert

AI Trainer Jobs; United States; Remote; USD 34,000 - 55,000; Full time

Job summary

AI Trainer Jobs is seeking a Turkish Language Expert for a remote evaluation track. You will review Turkish prompts and responses against AuraOne's rubric, label edge cases, and provide structured feedback to retrain models. This contractor role requires strong attention to detail and the ability to apply rubrics consistently across batches.

Expect hourly compensation and remote work with US eligibility. The position emphasizes independent work and reliable async availability for at least 10

Qualifications

• Prior evaluation, annotation, or human-rater experience on Turkish generalist evaluation.
• 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 Turkish outputs against rubric and assign severity tags.
• Compare paired responses and select stronger with rationale.
• Label hallucinations and policy violations with tags.
• Capture ambiguous prompts and route for rubric updates.
• Maintain reviewer quality via weekly calibration against gold-standard examples.

Skills

Turkish eval experience

Annotation & labeling

Rubric calibration

Attention to detail

Async availability

Job description

Role details

Turkish Language Expert is a remote evaluation track for reviewing turkish 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.

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

About the role

Turkish Language Expert is a remote evaluation track for reviewing turkish generalist evaluation prompts and responses against AuraOne's quality rubric.

Responsibilities

• Evaluate turkish generalist evaluation model outputs against a versioned rubric and assign severity tags for Turkish 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.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 turkish generalist evaluation or adjacent content for Turkish 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 turkish 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.

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
• Turkish generalist evaluation