United States onlyThis is a remote position.
Job Highlights:Contract: Independent Contractor
Schedule: Flexible hours and availability for meeting/training, 40 hours per week Client Timezone: Central Time (US & Canada)
Client Overview
Our client is a growing food waste management startup focused on reducing waste at university dining halls across the United States. Leveraging proprietary AI and machine learning technology, the company provides actionable insights to dining halls to optimize their supply chain and inventory based on consumer preferences. You'll be joining a passionate team that aims to reduce the environmental impact of food waste at scale.
Job Description
We are seeking a detail-oriented individual to analyze and label images captured in university dining halls across the country. You will be responsible for identifying food items in images and matching them to our existing database, enabling our AI models to learn and become more accurate at automatic recognition. Attention to detail is paramount as the quality of your labeled data will directly impact the quality of our models. You will be working closely with our engineers and data scientists to continuously improve the labeling process.
Responsibilities
- Label 1,000+ dining hall food images per day, identifying ingredients- Match images to our existing food dictionary/database
- Provide feedback to improve food dictionary and labeling process
- Ensure labeled images meet quality standards
Requirements
- Passion for reducing food waste
- Meticulous attention to detail
- Comfortable working with image data
- Strong communication skills
- Basic computer and internet connection
Benefits
Independent Contractor Perks:- HMO Coverage for eligible locations
- Permanent work from home
- Immediate hiring
- Steady freelance job
ZR_22646_JOB
Australia
South Africa only
United Kingdom only
India only
