Image Data Annotator

We are seeking detail-oriented and motivated Image Data Annotators to join our team. In this role, you will accurately label, classify, and annotate images to support the development of artificial intelligence (AI) and machine learning (ML) models. The ideal candidate has excellent attention to detail, follows annotation guidelines consistently, and can maintain high-quality standards while meeting deadlines. Key Responsibilities: - Annotate and label images according to project-specific guidelines. - Identify and classify objects, scenes, and attributes within images. - Draw bounding boxes, polygons, key points, or segmentation masks as required. - Review annotated data to ensure accuracy, consistency, and quality. - Report ambiguous or problematic data to the project lead. - Meet daily productivity and quality targets. - Maintain confidentiality and adhere to data security policies. - Collaborate with quality assurance teams and provide feedback to improve annotation processes. Required Qualifications: - High school diploma or equivalent; bachelor's degree is a plus. - Strong attention to detail and accuracy. - Basic computer proficiency and familiarity with annotation tools is preferred. - Ability to follow detailed instructions and annotation guidelines. - Good communication and organizational skills. - Ability to work independently and as part of a team. Preferred Skills: - Experience with image annotation or data labeling platforms. - Understanding of AI, machine learning, or computer vision concepts. - Familiarity with tools such as CVAT, Labelbox, SuperAnnotate, or similar platforms. - Ability to manage multiple tasks and meet deadlines. Work Environment: - Remote, hybrid, or office-based depending on project requirements. - Flexible working hours may be available. - Training will be provided for project-specific annotation standards. Key Performance Indicators (KPIs): - Annotation accuracy and quality. - Daily/weekly annotation productivity. - Adherence to project guidelines. - Timely completion of assigned tasks. Benefits: - Competitive compensation. - Training and career development opportunities. - Flexible work arrangements (where applicable). - Opportunity to contribute to cutting-edge AI and machine learning projects.