Innodata Language Data Scientist

📋 Description

• • Innodata is seeking a highly skilled and motivated Language Data Scientist to join our dynamic team, focused on advancing Generative AI (GenAI) applications for our esteemed clientele. This is a unique opportunity to work at the forefront of AI innovation, contributing to cutting-edge projects that leverage multi-modal and multi-lingual datasets. You will be instrumental in shaping the future of AI by applying your expertise in human and synthetic data workflows, driving innovation, and ensuring continuous improvement in data quality and application performance.
• • As a Language Data Scientist, your primary responsibility will be to create, own, and meticulously manage processes for the creation, validation, and annotation of data. This data will be the bedrock for Large Language Model (LLM) and Machine Learning (ML) applications, encompassing not only natural language but also multimodal data such as images, video, and audio. You will be the bridge between complex data requirements and actionable AI solutions, ensuring that the data we generate is of the highest quality and directly addresses our customers' strategic objectives.
• • A significant aspect of this role involves deep engagement with our customers. You will consult and collaborate closely with them to gain a profound understanding of their business goals and challenges. Based on this understanding, you will design and implement bespoke data creation and annotation processes that are precisely tailored to meet their specific needs. This consultative approach ensures that our solutions are not just technically sound but also strategically aligned with customer success.
• • You will be tasked with generating critical insights into our clients' existing processes and products. By analyzing data patterns, identifying bottlenecks, and uncovering opportunities, you will provide data-driven recommendations that foster innovation and optimize performance. Your analytical prowess will be key to driving tangible improvements and demonstrating the value of Innodata's services.
• • Furthermore, you will play a crucial advisory role, supporting business unit heads in their engagements with customers. This involves understanding the upstream activities that our services will support and ensuring seamless integration and execution of Innodata's data solutions. Your ability to translate technical capabilities into business value will be paramount.
• • Key responsibilities include designing and refining workflows for AI/ML training and evaluation. This encompasses both traditional human annotation and data collection workflows, as well as the development and implementation of sophisticated synthetic data generation techniques. You will critically assess existing annotation tooling and workflows, identifying areas for enhancement and implementing best practices to maximize efficiency and accuracy.
• • You will dive deep into existing workflows and processes, meticulously gathering data and insights. Your role will be to analyze this information, formulate strategic recommendations, and drive improvements through a combination of innovation and close, cross-functional collaboration with both internal teams and external customers. This requires a proactive and analytical mindset, coupled with strong interpersonal skills.
• • A crucial part of your contribution will be the quantitative analysis of large datasets. You will perform advanced statistical analysis, calculate key performance metrics, and translate these findings into actionable recommendations aimed at enhancing data accuracy, model performance, and overall application effectiveness. This data-centric approach ensures that our solutions are continuously optimized.
• • You will work hand-in-hand with client stakeholders, ensuring a clear understanding of their objectives, gathering detailed requirements, proposing innovative solutions, and diligently executing them. This collaborative partnership is essential for delivering successful outcomes and building long-term relationships.
• • This role demands a unique blend of linguistic expertise, data science acumen, and a deep understanding of AI/ML principles, particularly in the context of LLMs and GenAI applications like Retrieval-Augmented Generation (RAG). Your ability to critically assess complex data challenges and devise creative, effective solutions will be highly valued. You are expected to be a strong communicator, capable of articulating technical concepts to diverse audiences and fostering effective collaboration across different functional teams and with clients.