Job Description

Job location : Remote ( Candidate would need to relocate to Delhi /NCR as per project requirement) Job Role : As a content reviewer (agent) on our Data Annotation team, you will be joining a truly global team of subject matter experts across a wide variety of disciplines and AI engineers and will be entrusted with a range of responsibilities. This will include: Creating training data sets for AI models that will help improve its accuracy, fluency, coherence and/or voice Annotating data to help AI models align with human values Analysing and improving basic 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 on the AI models. Contributing to evolving specifications for AI-model training and data recipes. Navigating a dynamic environment and adapting to shifting guidelines and flexible priorities. Achieve target KPIs, including daily job count, average handle time per job, and specified production hours Education and Abilities Minimum of bachelors degree and above average of the minimum English proficiency level. Minimum of 1-year prior Operations experience in a shared services, Business Process Outsourcing environment or comparable service/process management environment. Sound understanding of grammar, syntax, and semantics. Good reasonable assumption skills, strong attention to details, and ability to handle ambiguities and nuances. Well-honed internet research skills and ability to embrace diverse teams. Adaptability to thrive in a dynamic environment, with the agility to adjust to evolving guidelines and fluid priorities High affinity and cultural awareness of political/social situation regarding the relevant market/region that will be supported by each agent which is critical to be aware of the cultural/regional differences for nuanced policy decisions to be applied in accordance with Metas abuse standard policies and training materials. Thanks TA Team @ Innodata