Jobtailor

• Work directly with knitting, dyeing, finishing, and quality control operations in industrial textile manufacturing environments
• Identify, classify, and document textile defects including needle-related defects, needle breaks, elastane and Lycra failures, vertical needle lines, oil stains, stitch irregularities, holes, line defects, and machine-process anomalies
• Analyze root causes of production issues and support the development of corrective and preventive actions
• Support the creation and validation of textile defect datasets used for AI model training
• Collaborate with AI engineers to translate textile production challenges into machine learning and computer vision applications
• Define textile-specific defect taxonomies, quality standards, and production workflows
• Support the development of machine-level quality and sustainability KPIs
• Analyze dyeing and finishing processes, including shade deviations (ΔE), color consistency issues, re-dye risks, and process instabilities
• Participate in pilot deployments and industrial validation projects at partner factories
• Work closely with textile manufacturers, machine manufacturers, operators, production managers, and the NexTex AI team
• Help shape the textile knowledge foundation and product strategy of NexTex AI

Requirements

• Degree in Textile Engineering, Textile Technology, Textile Management, or a related field
• Strong understanding of knitted fabric production and circular knitting processes
• Knowledge of fabric structures including Single Jersey, Rib, Interlock, French Terry, and elastane-containing fabrics
• Understanding of textile quality control and defect analysis
• Knowledge of dyeing, finishing, and fabric inspection processes
• Experience identifying and troubleshooting textile defects and production issues
• Understanding of shade deviations (ΔE), color consistency, and dyehouse quality challenges
• Strong analytical and problem-solving skills
• Ability to work independently and communicate with technical and production teams
• Fluent English
• Experience working in knitting, dyeing, finishing, or fabric production facilities
• Experience with quality assurance and textile testing
• Knowledge of GOTS, OCS, OEKO-TEX, or sustainability-related textile standards
• Interest in AI, Industry 4.0, Smart Manufacturing, and digital transformation
• Previous startup experience

Core Competencies

Demonstrates expertise in textile engineering and quality control, with a strong focus on defect analysis, production processes, and the application of AI in textile manufacturing. Proficient in collaborating with technical teams to enhance production workflows and sustainability metrics.

Highest-signal resume keywords

• Textile Engineering Degree
• Knitted Fabric Production
• Defect Analysis
• Dyeing and Finishing Processes
• Quality Assurance

Hard Skills

• Textile Defect Identification
• Root Cause Analysis
• Shade Deviation Analysis (ΔE)
• Fabric Structure Knowledge
• Textile Testing

Soft Skills

• Analytical Skills
• Problem-Solving Skills
• Communication Skills
• Independent Work

Certifications & Qualifications

• GOTS
• OCS
• OEKO-TEX

Industry Keywords

• Textile Manufacturing
• Quality Control
• Sustainability Standards
• Smart Manufacturing
• Digital Transformation

Tools & Technologies

• Machine Learning Applications
• Computer Vision Applications