$42k-$125k
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Decision details from the source listing
7+ years stated
flexible
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What this posting tells you
Contractor role for a senior cargo surveyor contributing written analysis to train and evaluate AI systems. Work is described as global remote and approximately 10 hours per week, with flexible hours; country eligibility is not specified. Preferred qualifications include at least 7 years of relevant cargo surveying experience. No salary or benefits are stated.
Product, Security, Customer support, Writing and content
Eligible countries are not stated.
Global
Senior · Contractor
- Eligible hiring countries are not stated
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This role's listed pay is below the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketSenior Cargo Condition and Securing Surveyor at micro1
Role Title: Senior Cargo Condition and Securing Surveyor
Role Type: Contractor
Location: Global-Remote
Job Type: Contractor (~10 hours per week)
Schedule: Flexible-you choose the hours and days you work, including weekends if desired
micro1 is engaging Senior Cargo Condition and Securing Surveyors to contribute expert analysis and insight to a customer's logistics-focused project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
Evaluate refrigerated and temperature-controlled cargo documentation, such as reefer temperature logs and condition records, to assess compliance and identify potential issues.
Analyze finished-vehicle and food transport evidence, including damage reports and compliance documents, to determine condition, causation, and potential losses.
Perform remote assessments of container integrity, cargo securing methods, and lashing arrangements using photographic and written shipment records.
Review hatch-cover inspection reports and related marine cargo documentation to assess sealing, weatherproofing, and compliance with safety standards.
Write clear, professional surveyor findings and damage attributions, providing detailed reasoning for each conclusion as would be required in a signed surveyor's report.
Deliver structured, written feedback to support the training and evaluation of advanced AI models focused on cargo logistics and compliance.
Preferred qualifications
At least 7 years of experience as a cargo surveyor specializing in reefer and temperature-controlled shipments, containerized cargo, or cargo securing and lashing practices.
Demonstrated expertise in reviewing and interpreting photos, inspection logs, damage reports, and compliance documentation for marine or land-based logistics.
Background in one or more of the following: reefer and perishables surveying, container and securing surveying, marine hatch-cover inspection, finished-vehicle logistics inspection, or food transport auditing.
Strong analytical judgment and a meticulous approach to documentation review and report writing.
Excellent written and verbal communication skills, with the ability to provide clear, well-reasoned explanations for technical findings.
Familiarity with international transportation compliance standards and best practices for cargo condition and securing.
Previous consulting or remote project participation experience is a plus, though not required.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.