Analysis Skills, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Artificial Intelligence (AI) Programming Languages, Business Operations, Computational Linguistics, Computer Programming, Computer Science, Conversation Engine, Data Analysis, Data Collection, Data Management, Data Modeling Language, Data Quality, Data Sets, Database Technology, Detail Oriented, English Language, Linguistics, Localization, Machine Learning, Modeling Languages, Natural Language Processing (NLP), Natural Language Toolkit (NLTK), Ontology, Organizational Skills, Performance Modeling, Quality Metrics, Query Analysis, R Programming Language, SQL (Structured Query Language), Spreadsheets, Statistical Modeling, Taxonomies, Team Player, Testing, Training Data Sets, Unix Operating Systems
Duration:12+ months
Description:
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 Responsibilities
- Apply linguistic expertise in syntax, semantics, pragmatics, and sociolinguistics to support LLM and generative AI systems
- Collaborate with linguists, data operations teams, and 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, 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-teaming, and linguistic error analysis
- Participate in experiments to assess data quality, annotation consistency, and downstream model performance
Basic Qualifications
- Bachelor's degree in Linguistics, Computational Linguistics, Computer Science, Speech Science, or related field
- 1 years of experience in Linguistics, Language Technologies, NLP, or AI/ML data operations (or equivalent)
- 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 AI Agents/Chatbots
- Experience with database queries and data analysis processes (SQL, spreadsheets, R, Unix, or others)
- Experience working with speech and text data in multiple languages
- Comfortable working in a fast-paced, highly collaborative environment with evolving priorities
Preferred Qualifications
- Native or near-native fluency in English and at least one additional language
- Master's degree in Linguistics, Computational Linguistics, Language Technologies, or a related field
- Familiarity with machine learning frameworks, NLP libraries, and tools (e.g., Hugging Face, spaCy, NLTK, PyTorch)
- Exposure to statistical language modeling or training data pipelines
- Strong organizational skills and attention to detail
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.
#LI-AS140