About the role: At Innodata, we're working with the world's largest technology companies on the next generation of generative AI and large language models (LLMs). We're looking for smart, savvy, and curious Generative AI Associates to join our team. This is the role that writers and linguists dream about: you'll be teaching the next generation of LLMs about what makes language special. We're training generative AI how to think, not just how to write. This isn't just a job: it's a once-in-a-lifetime opportunity to work on the frontlines of generative AI. There's nothing more cutting-edge than this. Joining us means becoming an integral member of a global team shaping high-quality, user-centric AI knowledge models that will be the foundation for the next wave of generative AI-powered computation platforms. Keen to learn more What you'll be doing: As a Generative AI Associate on our AI Large Language Models (LLMs) team, you will be joining a truly global team of subject matter experts across a wide variety of disciplines and will be entrusted with a range of responsibilities. We're seeking self-motivated associates who can handle the speed required to be on the frontlines of innovation. In return, we're happy and excited to train you in unlocking the potential of generative AI. Below are some responsibilities and tasks of our Generative AI Associate role: Creating training data sets for AI models that will help improve their accuracy, fluency, coherence and/or voice Annotating data to help AI models align with human values Analyzing and improving the grammar, syntax, and sentence structure of both expert generated training data and AI model-generated text to ensure it adheres to linguistic rules and conventions Collaborating closely with cross-functional teams, including data scientists, researchers, and software engineers to refine and iterate data sets Contributing to evolving specifications for AI-model training and data recipes Navigating a dynamic environment and adapting to shifting guidelines and flexible priorities Achieving target KPIs, including daily job count and average handle time per job, within specified data production windows What we need you to bring: Master's / M.Phil. / Ph.D. degree in Physics / Biology / Math / Chemistry with C1 English proficiency level (Excellent) Excellent writing skills Strong understanding of grammar, syntax, and semantics Ability to edit and improve written communication across a wide variety of fields Creative thinker Strong attentive to detail Well-honed internet research skills Ability to embraces diverse teams Navigates ambiguity with grace Adaptability to thrive in a dynamic environment, with the agility to adjust to evolving guidelines and fluid priorities

As a Project Manager, you will oversee projects focused on AI/LLM OR knowledge processes specific to legal, life sciences, and medical domains. You will be responsible for coordinating project activities, managing resources, and ensuring successful project delivery in alignment with industry-specific requirements and standards. This role requires a deep understanding of data engineering principles, knowledge process outsourcing, and industry-specific challenges and opportunities. Key Responsibilities: Collaborate with stakeholders to define project scope, objectives, and deliverables, taking into account industry-specific requirements and standards. Develop comprehensive project plans, timelines, and resource allocation strategies tailored to the unique needs of KPO and data engineering projects in the LLM industry. Lead cross-functional project teams in executing project tasks according to established plans, ensuring adherence to quality standards and timelines. Monitor project progress, identify potential risks and issues, and implement mitigation strategies to keep projects on track and within scope. Utilize industry-specific tools and methodologies to manage and track project deliverables, milestones, and dependencies. Lead initiatives to streamline workflows, optimize resource utilization, and enhance project efficiency and effectiveness. Communicate effectively with stakeholders to manage expectations, solicit feedback, and address concerns throughout the project lifecycle. Allocate resources effectively, including data engineers, domain experts, and project support teams, to ensure optimal project performance and delivery. Collaborate with recruitment leads to address staffing needs and skill gaps, leveraging both internal and external talent as necessary. Define and implement quality assurance processes and standards specific to data engineering and KPO projects in the LLM industry, ensuring accuracy, reliability, and compliance with industry regulations. Conduct regular reviews and audits of project deliverables to identify areas for improvement and ensure alignment with stakeholder expectations. Identify opportunities for process improvement, innovation, and automation within AI/LLM and data engineering projects, leveraging industry best practices and emerging technologies. Skills/Experience/Qualifications: Proven experience as a Project Manager, with a focus on data engineering, knowledge process outsourcing domain. Strong leadership, communication, and stakeholder management skills, with the ability to build consensus and drive results in a complex and dynamic environment. Proficiency in project management tools and methodologies, as well as industry-specific software and technologies.