Supply Chain Operations Analyst - 50819

Turing; Mumbai; Remote; INR 223,200 - 334,800; Part time

Benefits offered by this job

Fully remote work

Work on leading AI projects

Potential for contract extension

Job summary

A leading tech company is seeking an entry-level Logistics Specialist to support AI development in Mumbai. The role involves validating outputs of AI systems and simulating supply chain scenarios. Ideal candidates will have 3+ years of experience in logistics or warehouse management and possess strong attention to detail and communication skills. This position offers a fully remote work environment, with a contract duration of 1 month and the opportunity for extension based on performance.

Qualifications

• 3+ years of experience in Logistics or Supply Chain operations.
• Proficiency with WMS/TMS systems and workflow tools.
• Strong understanding of data integrity and process impacts.

Responsibilities

• Map and recreate logistics workflows.
• Validate AI outputs in operational scenarios.
• Simulate supply chain challenges for AI training.

Skills

Logistics expertise

Attention to detail

Effective communication

Tools

WMS

TMS

ServiceNow

Jira

Job description

Role Overview

We are seeking analytical and process-driven professionals with extensive hands-on experience in Logistics, Warehouse Management, Supply Chain, or Order Fulfillment Operations. This specialized role supports the development and benchmarking of Large Language Models (LLMs) by designing and validating workflows that directly impact inventory accuracy, fulfillment speed, carrier performance, and supply chain visibility. The specialist will be crucial in recreating complex logistics scenarios to validate AI outputs and ensure they maintain operational efficiency, cost-effectiveness, and real-time accuracy.

What does day-to-day look like

• Accurately map and recreate complex logistics operational workflows, covering inbound receiving, inventory slotting/picking, packing, shipping, carrier management, returns processing (reverse logistics), and cross-docking procedures.
• Rigorously validate AI-generated outputs in operational scenarios, such as automated inventory allocation, route optimization suggestions, carrier service level predictions, and exception handling messages, ensuring data integrity within the WMS/TMS and accuracy of fulfillment steps.
• Simulate critical supply chain and fulfillment challenges, including:
• Warehouse Simulation: Testing AI support for labor planning, optimized picking paths, and real-time inventory adjustments during peak operations.
• SLA Tracking & Compliance: Validating AI reporting on order cycle time, dock-to-stock metrics, and carrier on-time performance (OTP) against service agreements.
• Security Audits: Performing structured reviews to ensure AI actions maintain inventory control and loss prevention standards throughout the chain.
• Provide detailed, structured annotations and high-quality datasets derived from inventory transactions, shipping manifests, and operational logs to continuously improve LLM training and evaluation for better forecasting and logistics automation.

Requirements

• Logistics & Fulfillment Operations Expertise: Proven experience (3+ years) in a hands-on role within Warehouse Operations, Distribution Center Management, Supply Chain Planning, or Last-Mile Logistics (e.g., managing inventory, shipping processes, or third-party logistics/3PL relationships).
• WMS/TMS & Workflow Tool Proficiency: High familiarity with industry-standard logistics and fulfillment systems, including WMS (Warehouse Management Systems), TMS (Transportation Management Systems), ERP inventory modules, or general workflow tools like ServiceNow or Jira used to manage operations and exceptions.
• Efficiency & Data Integrity Detail Orientation: Exceptional attention to detail with a strong understanding of how process deviations or inventory discrepancies impact fulfillment speed and cost. Ability to identify AI shortcomings that lead to mis-shipments or system data pollution.
• Data Utilization for Supply Chain Predictability: Conceptual understanding of how operational logistics data (e.g., cycle count results, shipping times, capacity plans) is used for training and evaluating Machine Learning models (LLMs) to improve prediction and throughput.
• Communication & Procedural Excellence: Excellent written English required for creating precise, training-quality Standard Operating Procedures (SOPs) and meticulously validating the clarity and accuracy of AI-generated communications for both internal teams and external carrier partners.

Perks of Freelancing With Turing

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Potential for contract extension based on performance and project needs.
• Commitments Required: 40 hours per week with overlap 4 hours with PST
• Engagement type : Contractor assignment (no medical/paid leave)
• Duration of contract : 1 month possibility to extend
• Location : India, Bangladesh, Egypt, Kenya, Mexico, Ghana, Nigeria, and Turkey.

Evaluation Process

• Shortlisting based on qualifications and relevant professional experience.

Seniority level

Entry level

Employment type

Contract

Job function

Information Technology

Industries

Technology, Information and Internet