Computational Linguist

Vintti is a staffing agency that leverages the geographical advantage of Latin America to benefit US businesses. We connect companies with professionals who work in time zones closely aligned with or identical to US hours, ensuring seamless communication and collaboration. This synchronicity allows for real-time interaction, enhancing productivity and eliminating the delays often associated with offshore staffing.

A Computational Linguist is a specialist who merges the fields of linguistics and computer science to create applications that facilitate human-computer interaction and natural language processing (NLP). They work on developing algorithms that enable computers to understand, interpret, and generate human language, playing a critical role in advancing technologies such as speech recognition, text analysis, and language translation. By leveraging their deep understanding of syntax, semantics, and computational techniques, Computational Linguists contribute to the enhancement of various AI-driven solutions, ultimately making digital communication more intuitive and accessible.

- Ph.D. or Master's degree in Computational Linguistics, Computer Science, Artificial Intelligence, or a related field
- Strong background in natural language processing (NLP) and computational linguistics
- Proficiency in programming languages such as Python, Java, or C++
- Experience with NLP libraries and frameworks like NLTK, spaCy, TensorFlow, or PyTorch
- Knowledge of machine learning algorithms and techniques
- Experience with linguistic data annotation and corpus analysis
- Familiarity with statistical analysis and data preprocessing techniques
- Excellent problem-solving and analytical skills
- Strong understanding of linguistic theory and language structure
- Experience in developing and optimizing machine learning models for language tasks
- Ability to work effectively in cross-functional teams and collaborate with diverse stakeholders
- Strong written and verbal communication skills for documenting processes and presenting findings
- Proven track record of staying updated with advancements in the field
- Familiarity with tools for version control, such as Git
- Ability to debug and troubleshoot computational linguistics software
- Experience with error analysis and evaluation of language models

- Develop, implement, and maintain algorithms for natural language processing (NLP) tasks
- Create machine learning models for various language processing applications
- Conduct data preprocessing and linguistic data annotation
- Perform corpus analysis and evaluation of linguistic data
- Collaborate with cross-functional teams to integrate language models into software solutions
- Research and stay updated on the latest advancements in computational linguistics and NLP
- Optimize existing linguistic models and algorithms for better performance and efficiency
- Debug and troubleshoot issues in computational linguistics software and tools
- Document algorithms, processes, and results for reproducibility and internal use
- Conduct error analysis to identify areas for model improvement
- Prepare and present findings and technical reports to internal and external stakeholders

The ideal candidate for the role of Computational Linguist is a highly analytical and innovative professional with a Ph.D. or Master's degree in Computational Linguistics, Computer Science, Artificial Intelligence, or a related field. They possess a deep understanding of computational linguistics theories and practices, coupled with a strong background in natural language processing (NLP). Proficient in programming languages such as Python, Java, or C++, they have extensive experience with NLP libraries and frameworks like NLTK, spaCy, TensorFlow, or PyTorch. The candidate excels in developing, implementing, and optimizing machine learning models for various language processing tasks and demonstrates a robust knowledge of machine learning algorithms and techniques. They possess excellent problem-solving and analytical skills, underpinned by a thorough understanding of linguistic theory and language structures. With proven experience in linguistic data annotation, corpus analysis, and statistical analysis, they bring precision and attention to detail in their work. Strong communication skills enable them to document processes effectively and present complex technical findings to diverse audiences. The ideal candidate is proactive, adaptable, and committed to continuous learning, staying abreast of the latest advancements in computational linguistics and machine learning. They thrive both independently and in collaborative environments, showcasing strong teamwork and interpersonal skills. Their creative and empathetic approach ensures the development of user-focused language models, while their resilience and perseverance come to the forefront in debugging and troubleshooting tasks. Additionally, exceptional time management, organizational skills, and the ability to handle multiple projects and prioritize tasks effectively round out the profile of the perfect candidate for this role.

- Design and implement algorithms to analyze and process natural language data
- Develop software tools and systems for natural language understanding and generation
- Create, refine, and optimize machine learning models for language-related tasks
- Collaborate with data scientists, engineers, and linguists to integrate language models into applications
- Conduct linguistic data annotation and corpus analysis
- Perform error analysis and evaluation of language models and systems
- Research and apply current advancements in computational linguistics and natural language processing
- Document methodologies, processes, and outcomes for reproducibility and knowledge sharing
- Analyze and interpret results to improve system performance and accuracy
- Debug and troubleshoot computational linguistics software and tools
- Prepare and present technical reports and findings to stakeholders

- Strong analytical and problem-solving abilities
- Deep understanding of computational linguistics theories and practices
- High proficiency in programming languages and software development
- Ability to work effectively both independently and in collaborative environments
- Proactive approach to research and continuous learning
- Excellent time management and organizational skills
- Adaptability to rapidly changing technologies and advancements in the field
- Detail-oriented with a focus on optimization and efficiency
- Strong communication skills for effective documentation and presentation
- Creative and innovative mindset for developing new solutions
- Empathy and understanding for integrating user-focused language models
- Commitment to quality and precision in linguistic data annotation and analysis
- Ability to distill complex technical concepts for diverse audiences
- Strong teamwork and interpersonal skills for cross-functional collaboration
- Resilience and perseverance in debugging and troubleshooting tasks
- Eagerness to stay abreast of latest technologies, tools, and research in NLP and machine learning
- Ability to handle multiple projects and prioritize tasks effectively
- Keen eye for detail in performing error analysis and system evaluations
- Strong intellectual curiosity and enthusiasm for the field of language processing

- Competitive salary range ($100,000 - $150,000, depending on experience)
- Comprehensive health, dental, and vision insurance plans
- Flexible work hours and remote work options
- Generous paid time off (PTO) and holiday schedule
- Retirement savings plans with company matching
- Professional development opportunities and continuous learning support
- Access to industry conferences and events
- Wellness programs and gym membership discounts
- Employee assistance programs (EAP) for mental health and wellness
- Collaborative and inclusive work environment
- Technology stipend for home office setup or upgrades
- Stock options or profit-sharing opportunities
- Relocation assistance for eligible candidates
- Regular team-building activities and social events
- Employee discount programs on various services and products
- Opportunities for career advancement and leadership roles
- Support for higher education and certification programs
- Paid parental leave and family-friendly policies
- Networking opportunities with industry leaders and experts