German Language Specialist

Innodata Inc.; India; À distance; INR 3 277 000 - 5 243 000; Plein temps

Résumé du poste

Innodata Inc. seeks a German Language Specialist (Freelance/Remote) to support AI & LLM training from India. The role involves evaluating and refining German and English content for linguistic quality, accuracy, and cultural relevance on cutting-edge AI projects used by global teams.

Strong German proficiency and certification are essential, with assessments during hiring. As a freelance remote contributor, you will create and curate high-quality linguistic datasets, provide feedback to improve

Qualifications

• Native-level or near-native fluency in German with reading, writing, and speaking.
• Advanced or highest-level German language certification.
• Willingness to complete language assessments during hiring.
• Experience in translation, localization, editing, or language evaluation preferred.

Responsabilités

• Evaluate and review AI-generated prompts, responses, and conversations in German 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 high-quality linguistic datasets for AI training purposes.
• Identify linguistic errors, cultural inconsistencies, and biases in AI outputs.
• Collaborate with global AI teams, linguists, and researchers on language-focused projects.
• Follow annotation and evaluation guidelines while contributing process improvement ideas.
• Ensure natural, professional, and culturally appropriate language usage across all tasks.

Connaissances

German language

English proficiency

Attention to detail

Translation/Localization

Description du poste

Job Title: German Language Specialist - AI & LLM Training (Freelance/Remote)

Location: India (Remote)

About the Role:

Are you passionate about language, technology, and the future of Artificial Intelligence? We are looking for highly skilled Japanese Language Specialists to support the development and enhancement of next-generation AI systems and Large Language Models (LLMs).

In this role, you will work closely with cutting-edge AI technologies by evaluating AI-generated content, improving linguistic accuracy, and helping shape culturally relevant and human-like interactions for global users. This is an exciting opportunity to contribute to innovative AI projects used by leading technology companies worldwide.

Key Responsibilities:

• Evaluate and review AI-generated prompts, responses, and conversations in German 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 high-quality linguistic datasets for AI training purposes.
• Identify linguistic errors, cultural inconsistencies, and biases in AI outputs.
• Collaborate with global AI teams, linguists, and researchers on language-focused projects.
• Follow annotation and evaluation guidelines while contributing process improvement ideas.
• Ensure natural, professional, and culturally appropriate language usage across all tasks.

Required Qualifications:

• Native-level or near-native fluency in German with strong proficiency in reading, writing, and speaking.
• Good command of English for communication and evaluation tasks.
• Candidate must possess advanced or highest-level German language certification.
• Willingness to complete German and English language assessments during the hiring process.
• Candidates should be capable of achieving professional-level scores in assessments.
• Strong attention to detail with excellent analytical and comprehension skills.
• Prior experience in translation, localization, content writing, editing, annotation, or language evaluation is preferred.
• Interest or experience in AI, NLP, Generative AI, or LLM-related projects will be an added advantage.

Preferred Skills:

• Experience working on AI training, annotation, or data labeling projects.
• Familiarity with linguistic quality evaluation frameworks.
• Ability to work independently and meet project deadlines in a remote environment.
• Strong research and problem-solving skills.