Computational Linguist with Gen AI experience | Sigma AI
Sigma AI · Broward County, FL
- On site
- Contract
- $100,000 / year
- Broward County, FL
Job highlights
- Evaluate and support Generative AI systems.
- Combine linguistics with data science expertise.
- Design annotation workflows and evaluation metrics.
- Analyze model performance using real-world data.
- Collaborate cross-functionally with research teams.
About the role
Computational Linguist with Gen AI experience | Sigma AI
Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence. With over 30 years of experience, offices in Spain, the United States, and the United Kingdom, and operations in more than 700 languages, we support multinational clients in developing cutting-edge AI solutions.
Soft Skills We Value
Are you a proactive professional who enjoys challenges, values collaboration, and approaches every task with empathy, integrity, and a passion for learning?
If so, we’d love to hear from you!
About The Role
We’re looking for a versatile Computational Linguist to join our R&D team focused on evaluating and supporting Generative and Agentic AI systems. This role combines linguistic expertise, data analysis, and hands-on experimentation with large language models. You’ll 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. The ideal candidate should demonstrate technical leadership in driving complex projects from concept to delivery.
This is a hybrid linguistics + data science role: ideal for someone who can move between qualitative language analysis and quantitative evaluation. You’ll work cross-functionally with researchers and annotators to design innovative, rigorous, and scalable evaluation processes for LLM-powered workflows.
Required Qualifications
- 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)
- 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 (JSON, 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
- Experience designing annotation tasks and workflows
Preferred Qualifications
- Strong interest in and 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 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
Key skills/competency
- Computational Linguistics
- Generative AI
- Large Language Models (LLMs)
- Natural Language Processing (NLP)
- Data Analysis
- Python Programming
- Machine Learning
- Research and Development
- Annotation Workflows
- Model Evaluation
Skills & topics
- Computational Linguistics
- Generative AI
- Gen AI
- Agentic AI
- LLM
- Large Language Models
- NLP
- Natural Language Processing
- Python
- Data Science
- AI
- Artificial Intelligence
- R&D
- Research
- Linguistics
- Data Annotation
How to get hired
- Tailor your resume: Highlight Gen AI, NLP, and linguistic skills relevant to Sigma AI's focus.
- Showcase project experience: Detail your work with LLMs, Python, and data analysis libraries.
- Emphasize collaboration: Mention experience in cross-functional or research teams.
- Prepare for technical and behavioral questions: Be ready to discuss your problem-solving approach.
- Understand Sigma.AI's mission: Align your application with their goal of advancing AI solutions.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Computational Linguist with Gen AI experience at Sigma AI?
- As a Computational Linguist with Gen AI experience at Sigma AI, you will evaluate and support Generative AI systems, combine linguistic expertise with data science, design annotation workflows and evaluation metrics, and analyze model performance using real-world data. You will also collaborate cross-functionally with research teams to drive innovation in LLM-powered workflows.
- What qualifications are essential for the Computational Linguist role at Sigma AI?
- Essential qualifications include a Master's degree (or equivalent experience) in Computational Linguistics, NLP, or a related field, 2+ years of experience in NLP or AI projects, and at least one year of experience with Gen AI or Agentic AI. Proficiency in Python, NLP/data science libraries, and experience with transformer-based language models are also crucial.
- Is this a remote position, and are there specific location requirements for Sigma AI?
- Yes, this is a work-from-home freelance position. For candidates in the US, preferred locations include Florida, California, and North Carolina. Sigma AI supports remote work while focusing on specific US states for this role.
- What kind of experience with AI technologies is expected for this role at Sigma AI?
- The role requires experience with Generative AI and/or Agentic AI, including using and fine-tuning transformer-based language models like BERT. Familiarity with generative AI SDKs (e.g., OpenAI, Google, Anthropic, LangChain) and understanding LLM behavior, prompt-based evaluation, and generative model outputs are also expected.
- How does Sigma AI handle the application and selection process, especially concerning AI?
- Sigma AI handles its own recruitment and does not use third parties. They may use artificial intelligence systems in their selection process to evaluate submissions ethically and transparently. The legal basis for data processing is the pre-contractual relationship or requested services.
- What is the blend of skills required for this Computational Linguist position at Sigma AI?
- This role is a hybrid of linguistics and data science. It requires individuals who can perform qualitative language analysis and quantitative evaluation, working cross-functionally with researchers and annotators to create scalable evaluation processes for LLM-powered workflows.