8 days ago

AI Data Quality Analyst

Innodata Inc.

Hybrid
Contractor
$50,000
Hybrid

Job Overview

Job TitleAI Data Quality Analyst
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$50,000
LocationHybrid

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Job Description

About Innodata Inc.

Innodata is a leading data engineering company and AI solutions provider, trusted by 4 out of 5 of the world’s largest technology companies. With operations across 13 cities globally, we support organizations in technology, finance, insurance, legal, and healthcare domains. By combining advanced Machine Learning and Artificial Intelligence (ML/AI) technologies with a global workforce of subject matter experts and a secure infrastructure, Innodata delivers high-quality digital data solutions that power next-generation AI systems.

This is a Freelance / Project-Based role located in Mexico (Remote – Work from Home). Working hours are flexible, with a minimum commitment of 4–5 hours per day. A Bachelor’s degree is required for eligibility.

About the AI Data Quality Analyst Role

We are looking for someone who is detail-oriented and has a strong understanding of language. In this role, you will help improve AI systems by reviewing and creating language data. Your work will directly contribute to training 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.
  • Check AI outputs for fluency, accuracy, tone, and correctness.
  • Label and annotate text with linguistic information (syntax, meaning, context, etc.).
  • Do linguistic research and share short summaries.
  • Review AI results and identify patterns or errors using linguistic knowledge.

Qualifications

  • Strong foundation in linguistics (syntax, semantics, phonology, morphology, pragmatics, sociolinguistics, etc.).
  • Experience in computational linguistics, corpus work, data annotation, or LLM training is helpful.
  • Excellent writing and communication skills.

Key skills/competency

  • AI Systems
  • Data Quality
  • Linguistics
  • Natural Language Processing
  • Large Language Models
  • Data Annotation
  • Grammar Correction
  • Content Creation
  • Linguistic Research
  • Error Identification

Tags:

AI Data Quality Analyst
AI
data quality
linguistics
NLP
LLM
data annotation
grammar
language
content review
error identification
Machine Learning
Artificial Intelligence
NLP tools
Data annotation platforms
Corpus tools
Linguistic software
AI systems
Digital data solutions
Secure infrastructure

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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 to align your application.
  • Tailor your resume for AI Data Quality: Highlight your experience in linguistics, data annotation, and any exposure to AI or NLP technologies.
  • Showcase language expertise: Prepare to discuss specific examples of your strong foundation in linguistics and how you apply it to text analysis.
  • Prepare for technical questions: Review core concepts in computational linguistics, data quality methodologies, and large language model principles.
  • Demonstrate problem-solving skills: Be ready to share instances where you identified and resolved complex linguistic errors or data quality issues.

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