Remote French Language Expert: AI Teaching and Evaluation

Alignerr Corp.; Seattle (WA); Remote; USD 34,000 - 69,000; Part time

Benefits offered by this job

Fully remote

Asynchronous work

Job summary

Alignerr is seeking French language experts to evaluate and improve AI systems trained on French content. Your linguistic insight and teaching background will shape how AI understands, generates, and teaches French—impacting one of the world's most influential languages.

You will work remotely on an hourly contract, committing at least 15 hours per week in fully asynchronous workflows, collaborating with project leads and other language experts to produce high-quality feedback and improvements.

Qualifications

• Native or near-native fluency in French.
• Experience teaching French or evaluating learner language.
• Fluent in English (C1/C2).
• Familiar with CEFR frameworks and levels.
• Enrolled in or completed a Bachelor’s degree or higher.

Responsibilities

• Evaluate AI-generated French speech and text for linguistic accuracy and educational quality.
• Assess learner speech and writing across CEFR levels Pre-A1 through B2+.
• Identify learner errors, natural phrasing issues, and pedagogical gaps with expert judgment.
• Suggest improvements for clear, idiomatic, and pedagogically sound French.
• Provide structured feedback to improve AI tutoring and language-learning models.
• Collaborate asynchronously with project leads and fellow language experts.

Skills

Native French

Teaching French

English fluent (C1/C2)

CEFR familiarity

Bachelor's degree or higher

Education

Bachelor's degree or higher

Job description

Alignerr is seeking French language experts to evaluate and improve AI systems trained on French content. Your linguistic insight and teaching background will shape how AI understands, generates, and teaches French—impacting one of the world's most influential languages.

You will work remotely on an hourly contract, committing at least 15 hours per week in fully asynchronous workflows, collaborating with project leads and other language experts to produce high-quality feedback and improvements.