Job description
About Appen
Appen has been a leader in AI training data for over 25 years, providing high-quality, diverse datasets that power the world’s leading AI models. Our end-to-end platform, deep expertise, and scalable human-in-the-loop services enable AI innovators to build and optimize cutting-edge models.
We specialize in creating bespoke, human-generated data to train, fine-tune, and evaluate AI models across multiple domains, including generative AI, large language models (LLMs), computer vision, speech recognition, and more. Our solutions support critical AI functions such as supervised fine-tuning, reinforcement learning with human feedback (RLHF), model evaluation, and bias mitigation.
Our advanced AI-assisted data annotation platform, combined with a global crowd of more than 1M contributors in over 200 countries, ensures the delivery of accurate and diverse datasets. Our commitment to quality, scalability, and ethical AI practices makes Appen a trusted partner for enterprises aiming to develop and deploy effective AI solutions.
At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest-quality AI solutions. We support work-life balance with flexible work arrangements and a dynamic, results-driven environment. Employees have access to competitive pay, comprehensive benefits, and opportunities for continuous learning and career growth.
Our team works closely with the world’s top technology companies and enterprises, tackling exciting challenges and shaping the future of artificial intelligence.
Overview
We are looking for a Computational Linguist (Spanish) with a strong background in linguistics and hands-on experience in data analysis, annotation, and scripting. This role bridges linguistic quality and technical implementation, supporting the evaluation and improvement of AI language systems.
Key Responsibilities
- Analyze and interpret linguistic and phonological data using internal tools and scripts.
- Run automated and manual quality checks on model outputs; provide data-driven insights.
- Review and annotate Spanish content for linguistic accuracy, cultural nuance, and consistency.
- Support dataset creation, cleaning, and formatting for machine learning workflows.
- Collaborate with technical teams to refine evaluation metrics and data pipelines.
- Document linguistic findings and create reproducible analysis reports.
Basic Requirements
- Native speaker of Spanish with strong command of English.
- Bachelor’s or Master’s degree in Linguistics, Computational Linguistics, Cognitive Science, or similar.
- Understanding of phonetics, phonology, syntax, and semantics.
- Comfortable working with structured data formats (JSON, XML, CSV).
- Familiarity with Python, command line interfaces (CLI), or Unix environments.
- Strong analytical mindset and attention to linguistic detail.
- Ability to work independently and meet deadlines in a data-driven environment.
Preferred Qualifications
- Experience with linguistic annotation or dataset processing for AI/NLP projects.
- Knowledge of machine learning workflows, text-to-speech (TTS), or NLP model evaluation.
- Experience with Python libraries (pandas, NumPy) or toolkits (NLTK, spaCy).
- Prior experience in companies like Appen is a plus.
- MSc in Computational Linguistics or Speech and Language Processing preferred.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
