Linguist II

Ascendion is an AI-native software engineering disruptor helping businesses innovate faster, smarter, and with greater impact. We partner with enterprise clients across North America, the UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI (Engineering AI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth.

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Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for the world’s leading brands
• Solve complex problems - and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands‑on experience

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Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

• We are looking for a linguist to help develop language components for AI-powered products, including large language models (LLMs) and voice-enabled technologies.
• We are seeking candidates with solid linguistic data analysis skills, programming familiarity, and language technology experience to contribute to data collection, synthetic data generation, and annotation tasks in support of LLM/AI training, evaluation, alignment, and AI agent development.

Job Title :
Linguist II

• Apply linguistic expertise in syntax, semantics, pragmatics, and sociolinguistics to support LLM and generative AI systems
• Collaborate with linguists, data operations teams, and Machine Learning (ML) engineers on data collection, curation, annotation, and localization efforts for model training and fine‑tuning
• Contribute to the development and maintenance of annotation schemas and guidelines for LLM training data (e.g., instruction-tuning, preference labeling, Reinforcement Learning from Human Feedback [RLHF])
• Evaluate and quality‑check datasets used for pre‑training, fine‑tuning, and alignment of language models
• Support the development of programmatic methods for generating synthetic annotated data at scale
• Assist in model evaluation efforts including prompt-based testing, red‑team​ing, and linguistic error analysis
• Participate in experiments to assess data quality, annotation consistency, and downstream model performance

• Bachelor's degree in Linguistics, Computational Linguistics, Computer Science, Speech Science, or related field
• 2+ years of experience in Linguistics, Language Technologies, Natural Language Processing (NLP), or AI/ Machine Learning (ML) data operations (or equivalent)
• Native or near-native fluency in English and at least one additional language
• Knowledge of syntax, semantics, pragmatics, sociolinguistics, corpus linguistics, and other areas of linguistics
• Familiarity with Large Language Models (LLMs), their applications and data practices (training data, evaluation, prompting, fine‑tuning)
• Exposure to LLM evaluation methodologies (human evaluation, automated metrics, adversarial testing)
• Experience working with semantic ontologies, taxonomies, or intent/slot frameworks
• Proficiency using Artificial Intelligence (AI) Agents/Chatbots
• Experience with database queries and data analysis processes (Structured Query Language [SQL], spreadsheets, R, Unix, or others)
• Experience working with speech and text data in multiple languages
• Comfortable working in a fast‑paced, highly collaborative…