About the Role We are seeking a meticulous and detail-oriented Data Annotation Specialist to join our innovative AI and ML projects team. Your primary responsibility will be generating, annotating, and validating high-quality datasets across text, images, audio, and video formats. This remote, full-time role offers flexibility while directly impacting advanced AI model development. Key Responsibilities • Accurately generate, annotate, and label diverse datasets following detailed, project-specific guidelines. • Review and validate annotations to ensure consistency, accuracy, and alignment with data ethics standards. • Collaborate closely with data scientists and machine learning engineers to meet specific dataset requirements. • Utilize annotation tools (e.g., Labelbox, Prodigy, etc.) and contribute to refining annotation guidelines and quality control processes. • Identify, document, and report data quality issues, edge cases, and unclear scenarios to continuously improve datasets. A Typical Day • Data Annotation: Generate and annotate synthetic and real-world datasets tailored for specific AI and ML models. • Quality Assurance: Perform rigorous validation checks to maintain annotation consistency and accuracy. • Collaboration: Coordinate regularly with the data science team to align on dataset requirements and improvements. • Problem-Solving: Address annotation challenges and propose practical solutions for data enhancement. Required Skills & Qualifications • Strong attention to detail with exceptional accuracy in annotation tasks. • Effective communication skills with the ability to clearly articulate decisions and feedback. • Proficient in English, both written and verbal. Preferred Qualifications • Demonstrable experience in data annotation, labeling, or similar roles. • Familiarity with data annotation tools and platforms. • Bachelor’s degree in Linguistics, Business Administration, Computer Science, or related fields. • Familiarity with AI, ML, and data science concepts. • Experience with scripting languages such as Python for automated data processing. • Understanding of data privacy laws and ethical considerations in data generation. • Previous work with diverse datasets (text, images, audio). What You'll Gain • Flexibility and autonomy in a fully remote, full-time position. • Opportunity to significantly contribute to state-of-the-art AI/ML developments. • Professional collaboration with global data science and AI teams. Compensation & Benefits • Competitive compensation based on experience and skills assessment. • Potential performance-based incentives. Application Process To apply, please submit your resume clearly detailing your experience with data annotation and relevant qualifications. Candidates may be asked to complete an online assessment evaluating: • Annotation accuracy and attention to detail • Understanding of annotation guidelines • Ability to effectively use annotation tools and software