Descripción de la oferta
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.Por favor, asegúrese de leer atentamente los siguientes detalles antes de enviar cualquier solicitud.By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.About the role:We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation. This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) and a passion for language, technology, and clear communication. You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation.Position:Red Teaming Specialist – AI (LLMs)Required Language:KurdishLocation Requirement:Kurdish speakers currently residing in TurkeyProject Duration:2 weeksRate:$8 per hourAbout the RoleIn this role, you will collaborate with a global team to test and improve AI language models. Your main responsibility will be identifying potential vulnerabilities and helping improve the safety and reliability of AI systems. Training on AI, LLMs, red teaming, and project guidelines will be provided. xcskxlj Key ResponsibilitiesComplete required training on AI systems and project guidelinesCreate strategic prompts to test AI models and identify weaknessesCollaborate with language specialists, team leads, and QA teamsSupport automated model testing activitiesAdapt to changing project requirementsMeet productivity and quality targetsQualificationsBachelor’s degree (preferred) or relevant professional experienceStrong writing and grammar skillsAbility to write in different tones and perspectivesCreative thinking and attention to detailAbility to work in a diverse and dynamic team environmentI look forward to hearing from you and would be happy to provide additional details if needed.#J-18808-Ljbffr
