Czech Bilingual QA Evaluator (Remote)

AI Trainer Jobs; United States; Remote; USD 30,000 - 47,000; Part time

Benefits offered by this job

Remote work

Job summary

AI Trainer Jobs is seeking a Czech Bilingual Expert to remotely evaluate prompts and responses, scoring against a fixed rubric and providing structured feedback for retraining. You will compare paired outputs, assign severity tags, and help calibrate evaluators to maintain consistency across batches.

The role requires prior experience in Czech bilingual evaluation or related content and the ability to apply rubrics across long review sets.

Qualifications

• Prior evaluation, annotation, or human-rater experience on Czech bilingual 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.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate Czech bilingual evaluation model outputs against a versioned rubric and assign severity tags for Czech 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.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Czech bilingual evaluation

Education

Background in linguistics

Job description

AI Trainer Jobs is seeking a Czech Bilingual Expert to remotely evaluate prompts and responses, scoring against a fixed rubric and providing structured feedback for retraining. You will compare paired outputs, assign severity tags, and help calibrate evaluators to maintain consistency across batches.

The role requires prior experience in Czech bilingual evaluation or related content and the ability to apply rubrics across long review sets.