Data Annotation Analyst

As a Data Annotation Analyst for iMerit's Task Recording & Labelling team in the Generative AI Multimodal Instruction & Interaction Training project, your main responsibility will be to interact with synthetic websites, record realistic task sessions, and create precise labels that describe the actions performed. You will execute task prompts on synthetic websites, ensuring to replace variables with realistic data, explore the site to capture a clean final recording, and draft clear label prompts that describe each action accurately. Your role will involve maintaining consistent accuracy, following formatting guidelines, and meeting daily productivity targets. Effective communication with trainers and leads for feedback and clarification will be essential. Your skills and competencies should include strong written English skills, exceptional attention to detail, the ability to follow complex guidelines, and comfort navigating web applications. An analytical mindset to distinguish substantive changes from non-essential actions will be crucial, along with self-motivation to explore unfamiliar interfaces and identify realistic input data. You should be able to perform tasks ranging from simple actions to moderately complex operations within enterprise software. The minimum educational qualification required is a Graduate level degree in Accountancy & Finance, with additional skills in enterprise software preferred. English proficiency at the B2+ CEFR level or equivalent is necessary. iMerit offers innovative projects in AI training and automation, comprehensive training on proprietary platforms, opportunities for continuous skill development and career growth, competitive compensation, and flexible, remote-friendly working arrangements. This is a full-time position with a requirement for a reliable internet connection and the ability to work in a virtual desktop environment. We look forward to having you on board as a valuable member of our team at iMerit.,