About the Company
C.H. Robinson is one of the world’s largest logistics platforms, providing innovative supply chain solutions to clients across the globe. We leverage technology and deep expertise to connect shippers and carriers, optimize freight movement, and drive efficiency. Our commitment to innovation extends to our cutting-edge AI initiatives, where we’re building the future of intelligent logistics.
Job Description
Join C.H. Robinson as a Logistics Fleet Annotator and play a crucial role in shaping the next generation of AI-powered supply chain solutions. In this essential on-site position, you will be responsible for meticulously annotating data related to logistics fleets, vehicle movements, and supply chain events. Your precise work will directly train and improve our machine learning models, leading to more efficient, intelligent, and predictive logistics operations. This role is perfect for detail-oriented individuals with a passion for data quality and an interest in the intersection of logistics and artificial intelligence.
Key Responsibilities
- Accurately annotate large datasets of logistics fleet information, including vehicle types, routes, status updates, and event logs.
- Categorize and tag data points to train and validate machine learning models for anomaly detection, route optimization, and predictive analytics.
- Ensure high levels of data quality and consistency by adhering to established annotation guidelines and best practices.
- Provide constructive feedback to improve annotation tools, guidelines, and processes.
- Collaborate with AI engineers, data scientists, and product managers to understand project requirements and deliver high-quality annotated data.
- Identify and escalate data discrepancies or patterns that may impact model performance.
- Maintain confidentiality and security of all data handled.
Required Skills
- Exceptional attention to detail and strong organizational skills.
- Ability to work independently and maintain focus on repetitive tasks.
- Proficiency with computers and basic data entry tools.
- Strong communication skills, both written and verbal.
- Basic analytical skills to identify data patterns and inconsistencies.
- High school diploma or equivalent.
Preferred Qualifications
- Prior experience in data annotation, data entry, or quality control.
- Familiarity with logistics, supply chain, or transportation concepts.
- Experience using data labeling platforms or similar tools.
- Associate's or Bachelor's degree in a related field (e.g., Logistics, Business, Computer Science).
Perks & Benefits
- Comprehensive health, dental, and vision insurance plans.
- Paid time off (vacation, sick leave, holidays).
- 401(k) retirement plan with company match.
- Professional development and training opportunities.
- Employee assistance program.
- On-site fitness center.
- Collaborative and innovative work environment.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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