Remote French Language Specialist for AI Evaluation

Innodata India; United States; Remote; USD 5,900 - 9,500; Part time

Job summary

Innodata India is seeking French Language Specialists to support AI systems and Large Language Models (LLMs) through remote, contractual work. You will evaluate AI-generated prompts and conversations in French and English, improve linguistic accuracy, and ensure culturally natural interactions for global users.

Responsibilities include creating and refining linguistic datasets, providing feedback, and collaborating with AI teams.

Qualifications

• Masters degree in French or C1/C2 level certification.
• Strong proficiency in reading, writing, and comprehension in French.
• Good command of English for evaluation tasks.
• Willingness to complete language assessments during the hiring process.
• Experience in translation, localization, or language evaluation preferred.
• Interest or experience in AI, NLP, Generative AI, or LLM-related projects is a plus.

Responsibilities

• Evaluate and review AI-generated prompts, responses, and conversations in French and English.
• Assess content for grammar, fluency, factual accuracy, tone, and contextual relevance.
• Provide detailed feedback and quality ratings to improve AI model performance.
• Create, edit, and refine linguistic datasets for AI training purposes.
• Identify linguistic errors, cultural inconsistencies, and biases in AI outputs.
• Ensure accurate, natural, and culturally appropriate use of French.
• Follow annotation and evaluation guidelines while contributing ideas for process improvement.
• Collaborate with global AI teams, linguists, and researchers on language-focused projects.

Skills

French fluency

English proficiency

Attention to detail

Analytical thinking

Education

Masters in French

C1/C2 French certification

Job description

Innodata India is seeking French Language Specialists to support AI systems and Large Language Models (LLMs) through remote, contractual work. You will evaluate AI-generated prompts and conversations in French and English, improve linguistic accuracy, and ensure culturally natural interactions for global users.

Responsibilities include creating and refining linguistic datasets, providing feedback, and collaborating with AI teams.