Sigma AI · 1 month ago
Computational Linguist with Gen AI experience
Sigma AI is a global training data collection, preparation and annotation services company, and they are seeking a versatile Computational Linguist to join their R&D team. This role focuses on evaluating and supporting Generative and Agentic AI systems by combining linguistic expertise, data analysis, and hands-on experimentation with large language models.
Artificial Intelligence (AI)Data Collection and LabelingGenerative AIInformation ServicesInformation TechnologyMachine LearningNatural Language Processing
Responsibilities
Help design annotation workflows, create and refine guidelines and internal documentation, prototype task-specific evaluation metrics, configure annotation tools, and analyze annotator, model and system performance using real-world data, contributing to papers and articles as needed
Work cross-functionally with researchers and annotators to design innovative, rigorous, and scalable evaluation processes for LLM-powered workflows
Qualification
Required
Master's degree (or equivalent experience) in Computational Linguistics, NLP, Linguistics, or a related field
2+ years of experience in NLP or AI projects (industry or research)
At least one year of experience with Gen AI and/or Agentic AI
Experience using and fine-tuning transformer-based language models (e.g., BERT, GPT)
Proficiency in Python programming
Proficient with NLP and data science libraries: pandas, numpy, scikit-learn, NLTK
Experience with generative AI SDKs and frameworks (e.g., OpenAI, Google, Anthropic, LangChain)
Comfortable with Linux environments and Bash scripting
Experience working with public datasets (e.g. Hugging Face, Kaggle)
Familiarity with LLM behavior, prompt-based evaluation, and generative model outputs
Comfortable with structured data formats (JSONL, CSV), Jupyter notebooks, and pandas-based analysis
Experience using Git for version control and collaborative development
Understanding of model evaluation methodologies, including human-AI comparison and red teaming
Strong written communication skills for documenting experiments and results
Experience working in cross-functional or research-oriented teams
Fluent in English
Preferred
Strong understanding of current trends and techniques in generative AI
Experience with annotation tools (e.g., Label Studio, Prodigy) and quality metrics for human data
Experience designing annotation tasks and workflows (e.g., Label Studio or similar tools)
Experience creating and curating bespoke datasets
Familiarity with evaluation challenges in creative or subjective NLP tasks
Understanding of linguistic typology, multilingual NLP, or sociolinguistic variation
Experience working in WSL environments
Experience collaborating with annotation teams and working with QA processes
Company
Sigma AI
Sigma AI is a data labeling, annotation and data collection company.
Funding
Current Stage
Late StageRecent News
2023-12-22
Company data provided by crunchbase