Senior Computational Linguist (USA) at Sigma Group
Madison, Mississippi, United States -
Full Time


Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

0.0

Posted On

12 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computational Linguistics, Natural Language Processing, Text Classification, Named Entity Recognition, Machine Translation, Language Modeling, Python Programming, Linux, Bash Scripting, Transformer-Based Models, Active Learning Models, Quality Metrics, Audio Annotation Tools, Statistical Analysis, Annotation Projects, Linguistic Typology

Industry

IT Services and IT Consulting

Description
Sigma AI is a global training data collection, preparation and annotation services company. With 30+ years of experience in the data annotation space, we support companies with the right mix of people, processes and technology to train smarter AI that serves humans better. We're looking a Senior Computational Linguist to collaborate with the Natural Language Processing team on the design and development of AI-based solutions for clients and grant-funded projects. Candidates should feel comfortable working in a young and multidisciplinary team where the environment is continuously changing. Responsibilities: To collaborate with the Sigma AI team in the analysis of customer proposals, preparation of offers, carrying out of tests or pilots and training of the team of annotators or reviewers. To configure annotation tools, automatically pre-annotate or generate data if possible, or implement active learning models to accelerate the annotation process, evaluate the quality of projects using quality metrics, and automatically detect errors. Requirements: Master’s degree in computational Linguistics or NLP. Over 5 years' experience in AI companies, working on text classification projects, NER, relationship detection, question-answering, machine translation, language modeling, automatic transcription and/or dialogue systems. Experience in training machine learning models and neural networks. Experience in using and fine-tuning transformer-based language models such as BERT and GPT. Programming with Python. Linux and Bash scripting. Preferred: Knowledge of audio, video and text annotation tools, active learning models and quality metrics. Knowledge of Python NLP libraries: NLTK, Scikit-learn, Spacy, RASA and Transformers. Acoustic analysis tools such as PRAAT. Computer assisted translation (CAT) tools. Descriptive and inferential statistics. Experience in annotation projects. Knowledge of linguistic typology.
Responsibilities
Collaborate with the Sigma AI team on customer proposals, offer preparation, and training of annotators. Configure annotation tools and evaluate project quality using metrics.
Loading...