Data AI Annotation & Research Intern
Mojix
Seagull Data AI Annotation & Research Intern
Location: Remote (PST availability preferred)
Commitment: Full-time for 2 to 4 weeks (Mon–Fri)
Compensation: $20/hour
WHO WE ARE
Seagull Software, LLC, is a global leader in real-time, item-level visibility and label management solutions, dedicated to powering the world’s most complex supply chains with innovative tools for traceability, authentication, and automated inventory management. Our BarTender™️ platform enables businesses across all industries to design, manage, print, and automate the production of labels, barcodes, and RFID tags, ensuring seamless tracking and compliance for over 100 billion unique identifiers each year. Leveraging the Mojix™️ high-security, scalable SaaS traceability platform, Seagull delivers end-to-end intelligence, harmonizing data to drive operational efficiency, enhance customer experiences, and reduce risk. Learn more at www.seagullsoftware.com.
We’re a growing, profitable, mid-size business with a nearly 40-year history of leading in our field. Headquartered in Redmond, Washington, with offices across the United States, Europe, and Asia, Seagull empowers businesses worldwide to keep their products moving, traceable, and safe. You’ll work with global, talented, and diverse teams, passionate about what they do and its impact on everyone, everywhere. Join us and help shape the way the world works.
LOCATION
Remote (PST availability preferred)About the Opportunity
We’re looking for a motivated and detail-oriented intern or recent graduate to join our Team to assist with an AI project focused on data annotation and research. You’ll be helping us improve the performance of a machine learning system that classifies and groups business accounts based on their name, website, address, and other attributes.
Your job will be to review, validate, and label AI-generated clusters of business entities, and to use online research to verify company relationships. This is a fantastic opportunity to gain exposure to real-world AI workflows, especially in data-driven business environments.
What You’ll Do
- Review clusters of business accounts created by our machine learning model
- Use research tools (company websites, LinkedIn, Google, public registries) to verify whether companies are related or distinct
- Label and document findings in a structured format via a web-based interface
- Identify and flag inconsistencies, edge cases, or unclear groupings
- Collaborate with the core team and contribute to AI model feedback
- Pursuing or recently completed a Bachelor’s degree in Business, Accounting, Marketing, Engineering, or a related field
- Strong attention to detail and ability to recognize patterns and inconsistencies
- Comfortable performing structured online research
- Familiarity with how companies are organized (e.g., parent/subsidiary relationships) is a plus
- Excellent written communication skills
- Available to work full-time for two - four consecutive weeks
- Able to work during Pacific Standard Time (PST) hours
- Work on a real machine learning product used by enterprise clients
- Learn how human validation and AI work together in applied business analytics
- Gain hands-on experience with data labeling, clustering, and entity resolution
- Earn $20/hour for a two to four week full-time engagement (with possible future opportunities)