AI Data Quality Analyst
Innodata Inc.
Job Overview
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Job Description
About Innodata Inc.
Innodata Inc. is a leading data engineering company and AI solutions provider, trusted by 4 out of 5 of the world’s largest technology companies. With global operations across 13 cities, Innodata supports organizations in technology, finance, insurance, legal, and healthcare. Combining advanced Machine Learning and Artificial Intelligence (ML/AI) technologies with a global workforce of subject matter experts and secure infrastructure, Innodata delivers high-quality digital data solutions that power next-generation AI systems.
About the AI Data Quality Analyst Role
We are seeking a detail-oriented individual with a strong understanding of language to join us as an AI Data Quality Analyst. In this role, you will be instrumental in improving AI systems by reviewing and creating language data. Your contributions will directly help train large language models (LLMs) and other Natural Language Processing (NLP) tools.
Key Responsibilities
- Create or edit content such as grammar explanations, sentence examples, and notes about how language works.
- Find and fix issues related to grammar, unclear meaning, and bias in language data.
- Check AI outputs for fluency, accuracy, tone, and correctness.
- Label and annotate text with specific linguistic information (syntax, meaning, context, etc.).
- Conduct linguistic research and provide concise summaries of findings.
- Review AI results to identify patterns or errors using your linguistic knowledge.
Qualifications
- Strong foundation in linguistics, covering areas such as syntax, semantics, phonology, morphology, pragmatics, and sociolinguistics.
- Experience in computational linguistics, corpus work, data annotation, or Large Language Model (LLM) training is beneficial.
- Excellent writing and communication skills are essential for this role.
Key skills/competency
- Linguistics
- Grammar
- Natural Language Processing (NLP)
- Data Annotation
- AI System Improvement
- LLM Training
- Content Editing
- Bias Detection
- Fluency Assessment
- Communication Skills
How to Get Hired at Innodata Inc.
- Research Innodata Inc.'s culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight your linguistics expertise, computational linguistics experience, and data annotation skills for the AI Data Quality Analyst role.
- Showcase language proficiency: Prepare examples of your writing, editing, and linguistic analysis to demonstrate strong communication.
- Understand AI data principles: Be ready to discuss how you approach data quality, bias detection, and linguistic annotation in an AI context.
- Emphasize remote work readiness: Since this is a freelance, remote position, highlight your ability to work independently and manage flexible hours effectively.
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