The Work
You will review air cargo and parcel claims and make clear determinations about custody, liability, and compliance with shipment release rules. Your work will use both written records and visual evidence to support AI training for claims processes.
- Review air waybills, shipment photographs, delivery records, and related freight documents.
- Assess custody, liability, and compliance with release rules for disputed shipments.
- Evaluate delivery photo disputes using visual and written evidence.
- Write concise reasons supporting custody and liability decisions.
- Find inconsistencies, missing information, and process issues in claims submissions and freight records.
- Provide expert input to help train and improve AI-powered claims processes.
What It Pays and Takes
This is a remote, part-time contract role for someone who can work independently and make careful decisions from complex freight evidence.
- Pay: $20 to $60 per hour.
- Time: Less than 20 hours per week.
- Location: Remote, open to candidates in selected countries across North America, South America, Europe, Asia, Africa, and the Middle East.
- Language: Professional fluency in English.
- Experience: At least five years in air cargo, ground handling, or parcel carrier claims examination or dispute resolution.
- Required knowledge: Custody determination, release rules, and liability assessment in air and ground freight.
- Required skills: Freight document review, photographic evidence review, parcel delivery dispute handling, clear communication, careful attention to detail, precise reasoning, and independent work.
- Helpful background: Claim outcome decisions, claim approvals or denials, liability allocation, claims audits, process improvement, airline air cargo matters, air waybills, ULD handling, the Montreal Convention, or IATA cargo training.
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI Training Work
AI training is the human work behind systems that learn from examples, including reviewing documents, rating outputs, and explaining decisions. Experienced professionals are valuable because their careful judgments help make AI systems more accurate and useful in specialized fields.