Data Annotator
Job Description
Company Description
Panorama AI Solutions specializes in creating secure, enterprise-grade AI chatbots tailored to optimize internal knowledge, policies, and workflows. Leveraging advancements in generative AI, machine learning, automation, and data intelligence, the company designs innovative and customized solutions to address real business challenges. These solutions improve decision-making, boost efficiency, and streamline operations for organizations. Committed to staying ahead of industry trends, Panorama AI Solutions ensures that its clients benefit from future-ready, cutting-edge technology.
Role Description
This is a temporary on-site role located in London, ON, for a highly detail-oriented Data Annotator. The Data Annotator will be responsible for labeling and categorizing datasets, ensuring accurate data tagging to train and refine machine learning models. Day-to-day tasks include data quality checks, annotation management, and collaborating with the AI development team to enhance system outputs and performance accuracy.
Qualifications
- Proficiency in data labeling, classification, and annotation for machine learning purposes.
- Strong analytical, organizational, and attention-to-detail skills to ensure data accuracy and consistency.
- Ability to learn and adapt to tools for annotation and data management.
- Effective teamwork, communication, and collaboration with cross-functional teams.
- Familiarity with AI, and data analysis concepts is a plus.
How to Apply
Ready to start your career as a Data Annotator at Panorama AI Solutions?
- Click the "Apply Now" button below.
- Review the safety warning in the modal.
- You will be redirected to the employer's official portal to complete your application.
- Ensure your resume and cover letter are tailored to the job description using our AI tools.
Frequently Asked Questions
Who is hiring?▼
This role is with Panorama AI Solutions in London.
Is this a remote position?▼
This appears to be an on-site role in London.
What is the hiring process?▼
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What skills are needed?▼
Refer to the "Job Description" section above for a detailed list of required and preferred qualifications.