English Language Specialist

Innodata India; United States; Remote; USD 2,900 - 5,800; Part time

Job summary

Innodata India is seeking English Language Specialists to support AI systems and LLMS by evaluating AI-generated content, improving linguistic accuracy, and ensuring natural, contextually relevant interactions for global users.

The role involves refining high-quality linguistic datasets, reviewing prompts, and providing feedback to improve model performance. Remote work in India is available for contractual engagements.

Qualifications

• Masters degree in English or advanced English certification (C1/C2) required.
• Excellent proficiency in English reading, writing, comprehension, and communication.
• Ability to understand linguistic nuances, sentence structure, grammar, tone, and contextual meaning.
• Willingness to complete English language assessments during the hiring process.
• Prior experience in content writing, editing, proofreading, translation, linguistics, annotation, or language evaluation preferred.
• Interest or experience in AI, NLP, Generative AI, or LLM-related projects will be an added advantage

Responsibilities

• Evaluate and review AI-generated prompts, responses, and conversations in English.
• Assess content for grammar, fluency, factual accuracy, tone, clarity, 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, inconsistencies, and biases in AI-generated outputs.
• Ensure natural, professional, and culturally appropriate English language usage.
• Follow annotation and evaluation guidelines while contributing ideas for process improvement.
• Collaborate with global AI teams, linguists, and researchers on language-focused projects

Skills

English proficiency

Attention to detail

Analytical thinking

Excellent communication

Education

Masters in English or advanced English certification (C1/C2)

Job description

Location: India (Remote)
Engagement Type: Contractual Role

About the Role

Are you passionate about language, technology, and the future of Artificial Intelligence? We are looking for skilled English 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 AI technologies by evaluating AI-generated content, improving linguistic accuracy, and ensuring natural, contextually 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 English.
• Assess content for grammar, fluency, factual accuracy, tone, clarity, 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, inconsistencies, and biases in AI-generated outputs.
• Ensure natural, professional, and culturally appropriate English language usage.
• Follow annotation and evaluation guidelines while contributing ideas for process improvement.
• Collaborate with global AI teams, linguists, and researchers on language-focused projects.

Required Qualifications

• A Masters degree in English or an advanced-level English language certification, preferably C1/C2.
• Excellent proficiency in English reading, writing, comprehension, and communication.
• Ability to understand linguistic nuances, sentence structure, grammar, tone, and contextual meaning.
• Willingness to complete English language assessments during the hiring process.
• Ability to demonstrate advanced English proficiency and achieve professional-level assessment scores.
• Strong attention to detail, analytical thinking, and comprehension skills.
• Prior experience in content writing, editing, proofreading, translation, linguistics, annotation, or language evaluation is preferred.
• Interest or experience in AI, NLP, Generative AI, or LLM-related projects will be an added advantage