Senior Data Scientist - AI Models For Sustainability Claim Verification
cloudvareContract
Required Skillset:
Computer VisionYOLOGPT-4o
Job Description
Role: SENIOR DATA SCIENTIST - AI MODELS FOR SUSTAINABILITY CLAIM VERIFICATION
Duration: 6-12 months – extensions and post extensions
Please let me know if you have any specific YOLO, Computer Vision
Share your resumes to xxxxxxxxxxxxxxx
Why this is Open?
We are seeking a Senior Data Scientist (Contractor) to lead development of AI models that help verify sustainability claims appearing on product labels/artwork (e.g., “100% recyclable”). The goal is to streamline verification, reduce the risk of non-compliant or incorrect claims, and support consumer trust by improving the accuracy and consistency of label-claim validation.
This project combines:
- Computer vision to detect relevant logos/visual markers on labels (YOLO-based logo detection)
- Text extraction/analysis and multimodal verification using an LLM (GPT-4o via API) to assess text-based sustainability claims against compliance references
Must Haves
- Senior-level experience delivering end-to-end ML systems (problem definition → data strategy → model development → evaluation → deployment)
- Strong computer vision expertise, specifically object detection models (YOLO required)
- Hands-on experience using LLMs via API (GPT-4o or similar) in production or near-production environments
- Experience with multimodal AI (image + text analysis)
- Proven ability to work with multilingual text data
- Experience building solutions in compliance-sensitive environments (accuracy, documentation, traceability)
- Strong understanding of model evaluation metrics (false positives/negatives, edge case handling)
Plusses
- Experience with sustainability, regulatory, or labeling/compliance data
- Background in logo detection or taxonomy development
- Experience building AI-driven dashboards or applications
- Familiarity with GPU-based training environments
- Prior work with consumer product, retail, or packaging data
- Experience developing verification logic frameworks or quality assurance pipelines
Day-to-Day:
- Lead end-to-end development of AI models for sustainability claim verification
- Build and train YOLO-based logo detection models, including labeling strategy and data quality iteration
- Develop and implement LLM-based verification workflows using GPT-4o API for text and multimodal analysis
- Define and refine claim verification logic and model evaluation methodology
- Work with datasets including artwork/images, sustainability claims, multilingual text, and compliance data
- Collaborate with internal stakeholders to define what qualifies as a “verifiable claim” and required evidence
- Deliver a production-ready pipeline and support integration into business workflows (e.g., dashboards or tools)
- Document methodology, testing results, and deployment recommendations
DATA YOU WILL WORK WITH
- Artwork files database (label/artwork images)
- Sustainability claims data
- Multilingual text samples
- Regulatory compliance data
- Historical claim records
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