1. Job Title: Data Annotator, Contractual  
2. Introduction/Overview: As a Data Annotator (Contractual) with 1-2 years of experience, you will play a vital role in the Operations department, supporting the development of Artificial Intelligence solutions within the Engineering and Information Technology (IT) domain, your work will directly impact the accuracy and efficiency of AI models by ensuring high-quality data annotation, image and video labeling, and content transcription, this position is strategic to the organization’s AI initiatives, as precise data annotation is foundational for training robust machine learning models, you will collaborate with cross-functional teams, follow established protocols, and contribute to the continuous improvement of annotation processes, making your role essential to the success of AI-driven projects.  
3. Roles & Responsibilities: Annotate data accurately using designated tools, adhering to project-specific guidelines and quality standards, perform image and video labeling tasks including bounding box, polygon, and frame-by-frame annotation ensuring consistency and precision, transcribe audio files and translate content as required maintaining attention to detail and context, conduct quality checks and validation of annotated data to ensure completeness and correctness, collaborate with team members to resolve annotation ambiguities and escalate issues when necessary, maintain organized records of annotation progress and report any challenges or discrepancies promptly, demonstrate effective time management and prioritize tasks to meet project deadlines, communicate clearly and professionally with peers and supervisors both verbally and in writing, adapt to new annotation tools and protocols as required showing a willingness to learn and improve, exhibit reliability, patience, and a positive attitude while working independently or as part of a team, participate in training sessions and apply feedback to improve annotation quality, assist in reviewing and validating the work of junior annotators, contribute to process improvement initiatives within the team, lead annotation projects or small teams ensuring adherence to quality standards, mentor new team members and share best practices, identify and implement improvements in annotation workflows.  
4. Years of Experience: 1 to 2 years of relevant experience in data annotation, image/video labeling, or transcription.  
5. Education Qualification: Minimum requirement is a Bachelor's Degree.  
6. Skills/Knowledge: Experience in labeling data using annotation tools such as Labelbox or Supervisely, strong understanding of data formats like CSV, JSON, and XML, ability to conduct quality assurance and validation of annotated data, basic scripting skills for data preprocessing using Python and Pandas, hands-on experience with image annotation including bounding box, polygon, and landmark annotation using platforms like CVAT or VGG Image Annotator, competence in class labeling, categorization, and image quality assessment across various image formats such as JPEG and PNG, experience in video annotation including frame-by-frame object tracking, temporal segmentation, and synchronizing annotations with video timestamps using tools like VGG VIA or CVAT, basic proficiency in at least two languages for translation tasks utilizing translation tools, audio-to-text transcription skills including timestamping and speaker identification using transcription software, knowledge of 2D image segmentation techniques and 2D annotation tools, understanding of 2D coordinate systems, familiarity with 3D point cloud annotation and 3D data formats (PLY, OBJ), basic knowledge of LiDAR data for 3D visualization and annotation, understanding of annotation project workflows, awareness of data privacy and security standards, experience in reporting annotation progress, commitment to continuous learning and adaptability to new annotation tools and processes.  
7. Key Competencies: Attention to detail, consistency and precision, effective time management, clear and professional communication, adaptability to new tools and protocols, reliability, patience, positive attitude, ability to work independently and as part of a team, willingness to learn and improve, ability to troubleshoot issues independently, ownership of advanced annotation tasks, mentoring and leadership skills, process improvement orientation, commitment to quality and productivity targets.  
8. Domain/Industry: Artificial Intelligence, Engineering, Information Technology (IT).  
9. Employment Type: Contractual.  
10. Company Overview: NO DETAILS FOUND.  
11. Benefits & Opportunities: Equal opportunity employer, clear growth path for dedicated Data Annotators, opportunities to deepen expertise and move into senior or lead annotation roles, opportunities to mentor others and contribute to process improvements, recognition for supporting team efficiency and quality, readiness for promotion to Senior Data Annotator or Annotation Lead roles.  
12. Location & Travel: NO DETAILS FOUND.