Linguist II (AI/LLM)

We are seeking a Linguist II to support the development of AI-powered products, including Large Language Models (LLMs) and voice-enabled technologies. This role is ideal for candidates with a strong background in linguistics, language technologies, NLP, and AI data operations who are passionate about improving language understanding and model performance.

The successful candidate will collaborate with cross-functional teams to develop, evaluate, and improve multilingual datasets used for AI model training, fine-tuning, and evaluation.

Key Responsibilities

• Apply linguistic expertise in syntax, semantics, pragmatics, sociolinguistics, and corpus linguistics to support AI and LLM development.
• Collaborate with linguists, data operations teams, and machine learning engineers on data collection, annotation, localization, and curation.
• Create and maintain annotation guidelines and schemas for AI training datasets.
• Evaluate and quality-check datasets used for model training, fine-tuning, and alignment.
• Generate and validate synthetic annotated data to improve AI model performance.
• Perform prompt testing, linguistic error analysis, red-teaming, and model evaluation.
• Review AI-generated content for hallucinations, bias, tone, and linguistic quality.
• Support Responsible AI initiatives through linguistic analysis and quality assurance.
• Participate in experiments to measure annotation quality, data consistency, and downstream model performance.

Required Qualifications

• Bachelor's degree in Linguistics, Computational Linguistics, Computer Science, Speech Science, or a related field.
• 1+ years of experience in Linguistics, Language Technologies, NLP, AI/ML data operations, or a related field.
• Native or near-native English proficiency plus fluency in at least one additional language.
• Strong understanding of:
• Syntax
• Semantics
• Pragmatics
• Sociolinguistics
• Corpus Linguistics
• Familiarity with Large Language Models (LLMs), prompting, evaluation, training data, and fine-tuning.
• Experience with semantic ontologies, taxonomies, or intent/slot frameworks.
• Experience using AI assistants, chatbots, or AI agents.
• Knowledge of SQL, spreadsheets, R, Unix, or other data analysis tools.
• Experience working with multilingual speech and text datasets.
• Excellent analytical, communication, and collaboration skills.

Preferred Qualifications

• Master's degree in Linguistics, Computational Linguistics, Language Technologies, or a related discipline.
• Experience with NLP libraries and machine learning tools such as:
• Hugging Face
• spaCy
• NLTK
• PyTorch
• Familiarity with statistical language modeling and AI training data pipelines.
• Strong organizational skills with exceptional attention to detail.

Preferred Technical Skills

• Large Language Models (LLMs)
• Natural Language Processing (NLP)
• AI Data Annotation
• Prompt Engineering
• Model Evaluation
• SQL
• Python (preferred)
• Hugging Face
• spaCy
• NLTK
• PyTorch
• AI Agents / Chatbots
• Data Quality & Annotation

Pay: $50.00 - $60.00 per hour

Work Location: Remote