Logistics Document Review Specialist

About OpenTrain

OpenTrain is the centralized platform where people build careers training AI and doing data-labeling work. We help contributors find projects, consolidate their work history, and grow a durable freelance career teaching AI systems with real-world expertise.

OpenTrain AI is the hiring and contracting organization for this role. We connect domain experts with short- and long-term annotation projects that shape how modern AI systems behave.

About AI training work in logistics

AI training (also called data labeling or annotation) is the human work behind machine learning: experts review examples, correct outputs, and create high-quality training data so models learn real-world workflows and decisions.

For logistics and supply chain, this means reviewing operational documents and workflows so AI systems understand packing lists, bills of lading, inventory registers, compliance checks, and common process variations.

The role

As a Logistics Document Review Specialist you will use your hands-on logistics experience to evaluate and annotate supply-chain documentation for correctness, compliance, and process quality. Your judgments and annotations will be used to train and evaluate AI models that support logistics workflows.

This is a remote contractor role, expected to require 20+ hours per week. You will work independently in a remote collaboration setting and deliver structured annotations, feedback, and training examples.

• Schedule: 20+ hours/week, contractor, part-time.
• Pay: Paid hourly at $40–$50 USD per hour.
• Work style: Remote, independent, collaborative feedback cycles.

What you'll do

You will review real-world logistics documents and produce annotations, classifications, and written feedback that reflect industry best practices.

• Review packing lists, bills of lading, inventory registers, and related documents for accuracy, authenticity, and compliance.
• Annotate and label sample documentation to represent correct fields, values, and process steps.
• Evaluate supply chain workflows and suggest improvements or clarifications based on operational knowledge.
• Validate supply-chain datasets for relevance and correctness, flagging errors or inconsistent entries.
• Produce detailed feedback and examples to help create training materials grounded in real logistics challenges.

Requirements

Candidates must meet the role's practical requirements and be comfortable working remotely with clear written communication in English.

• Minimum 3+ years of hands-on logistics and supply chain management experience.
• Familiarity with packing lists, bills of lading, and inventory registers is required.
• Strong understanding of logistics workflows and global supply chain operations.
• Clear English communication for explaining complex supply-chain concepts in writing.
• Careful attention to detail and strong analytical judgment to identify data and workflow issues.
• Comfort working independently in a remote collaboration setting.

Who should apply

This role is ideal for logistics or supply-chain professionals who want flexible, remote work contributing domain expertise to AI systems. Typical applicants include operations managers, shipping coordinators, inventory analysts, and supply-chain consultants with hands-on documentation experience.

Although the listing shows an entry-level designation, the role explicitly requires 3+ years of practical logistics experience and the ability to translate operational knowledge into clear annotations and training feedback.

How the work is organized

You will receive document batches and annotation guidelines from OpenTrain AI, complete classification and text-generation tasks as specified, and submit your work through the platform’s review workflow.

Expect iterative feedback cycles: reviewers will check annotations for consistency and you may revise examples or add explanatory notes to improve training material quality.

• Data type: DOCUMENT; label types include CLASSIFICATION and TEXT_GENERATION.
• Employment types: Contractor, Part-time.
• Languages: English required. Worldwide applicants accepted.

How to apply

If you meet the requirements and want flexible, meaningful work that shapes AI for logistics, apply through OpenTrain AI and include a brief summary of your logistics experience and examples of document types you've worked with (packing lists, bills of lading, inventory registers).

We’ll review your profile and may invite you to a short qualification task to confirm domain knowledge and annotation accuracy.