Senior Computational Linguist with Generative AI knowledge Madrid

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.

Were looking for highly motivated candidates who are team players and have initiative and can bring new ideas and experience in building all the software components that we use. This includes collaborating with the Natural Language Processing and Service teams on the design and development of Generative AI based solutions analysis of customer proposals preparation of offers carrying out of tests or pilots and training of the team of annotators or reviewers configure annotation tools automatically preannotate 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.

Sigmas mission is to bring AI solutions to contribute to a better society. We research design and develop new solutions to make peoples lives better through technology.

Requirements:

• Masters degree in computational Linguistics or NLP.
• Over 5 years experience in AI companies working on text classification projects NER relationship detection questionanswering machine translation language modeling automatic transcription and/or dialogue systems.
• Experience in training machine learning models and neural networks.
• Experience in using and finetuning transformerbased language models such as BERT and GPT.
• Programming with Python.
• Linux and Bash scripting.

• Know how to use Hugging Face repository.
• LLMs knowledge.

Preferred:

• Knowledge of Generative AI field.

• Knowledge of audio video and text annotation tools active learning models and quality metrics.
• Knowledge of Python NLP libraries: NLTK Scikitlearn 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.