AI Trainer Specialist

Innodata (NASDAQ: INOD) is a global data engineering and digital services company that focuses on power-boosting the future of Artificial Intelligence. They are a major partner for many of the world’s largest technology companies (often referred to as Big Tech) and enterprises, helping them build, train, and refine Large Language Models (LLMs) and generative AI systems.

Job Title: Data Annotator (AI Training & Model Evaluation)Location: Remote (India)Job Type: Freelance / Work-from-HomeEngagement: 5 to 6 hours daily

About the Role

Are you passionate about the future of Artificial Intelligence? We are looking for sharp, analytical, and language-proficient Data Annotators to review, evaluate, and annotate digital content. In this role, you will play a direct part in training and improving Large Language Models (LLMs) and AI responses, ensuring content quality, linguistic correctness, and precise categorization.🔑

Key Responsibilities

• Review digital content to evaluate its quality, grammar, coherence, and overall accuracy.
• Help improve AI model responses by providing detailed, logical annotations and feedback.
• Follow strict project guidelines and specific taxonomies while labeling and structuring data.
• Identify factual inconsistencies, errors, or inappropriate content in model outputs.🎯

Key Requirements

• Language Proficiency: Strong English skills are required; only candidates with B2+, C1, or C2 proficiency levels will be considered.
• Strong attention to detail and excellent written communication skills.
• Good knowledge of current events, pop culture, and content categorization.
• Familiarity with social media and modern digital platforms is mandatory.📝 Assessment Process
• To ensure a match for this specialized project, candidates must complete a multi-stage evaluation:
• Initial Online Tests: Candidates must complete a General English Assessment and a Task Readiness Assessment via the registration link provided upon application.
• Screening Round: A formal review of your profile and initial test performance.
• Pearson Versant Test: Candidates who pass the initial screening will be allocated the Versant Test (final selection requires a verified B2+, C1, or C2 level).
• Please fill out this form accurately to proceed with your application for the Data Annotator project.