European French Linguist

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. Key Responsibilities Run and interpret analysis reports (training provided) Provide data-driven insights and support content quality reviews Participate in team meetings and collaborate with the client’s team Review content in your native language (European French) Assist with quality assurance tasks as needed Basic Requirements Native speaker of French (Europe) Bachelor's degree in Linguistics, Philosophy, Cognitive Science, or Foreign languages, with special focus on Phonology or Phonological Applications Professional working proficiency in English Comfortable working independently with minimal supervision Ability to identify linguistic ambiguity and other inaccuracies in linguistic data, as well as identify basic parts of speech, and produce reports of analyzed data. Able to learn and navigate proprietary company platforms and software Strong organizational skills and attention to detail Commitment to a 12-month contract (includes 2-3 weeks onboarding) Preferred Qualifications Experience with linguistic annotation Familiarity with json, yaml, xml or other forms of text markup Ability to navigate a Unix terminal and use common command line tools We encourage alumni of the University of Edinburgh with a relevant master's degree to apply. Experience with or within Appen is a plus #J-18808-Ljbffr