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STEM Specialist - AI Trainer Fluent in Marathi

Invisible Expert Marketplace

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Original Job Summary

Overview

The STEM Specialist - AI Trainer Fluent in Marathi role at Invisible Expert Marketplace involves leveraging your STEM expertise and fluency in Marathi to shape the future of AI. You will work with advanced AI tools to provide high quality training data, ensuring that large-scale language models deliver accurate, practical, and innovative solutions in science, technology, engineering, and mathematics.

Key Responsibilities

  • Review and annotate AI-generated content for technical accuracy.
  • Provide expert feedback on STEM concepts, problem solving, and terminology in both English and Marathi.
  • Identify, document, and refine error patterns in model outputs.
  • Collaborate with the team on refining prompts, evaluation methods, and guidelines.

Required Skills & Experience

  • Fluency in Marathi is mandatory.
  • Proven expertise in a STEM field through teaching, research, or applied practice.
  • Experience in translation, bilingual education, or linguistic annotation is a plus.
  • Strong communication, analytical skills, and attention to detail.

Key skills/competency

  • STEM
  • AI
  • Marathi
  • Training
  • Data Annotation
  • Language
  • Bilingual
  • Analytical
  • Communication
  • Problem-solving

How to Get Hired at Invisible Expert Marketplace

🎯 Tips for Getting Hired

  • Customize your resume: Highlight STEM expertise and language skills.
  • Research Invisible Expert Marketplace: Understand company culture and AI projects.
  • Tailor your cover letter: Emphasize bilingual experience and technical acumen.
  • Prepare technical examples: Showcase annotated work and problem-solving cases.
  • Practice interview insights: Focus on communication and critical analysis.

📝 Interview Preparation Advice

Technical Preparation

Review STEM technical concepts.
Practice annotation with AI outputs.
Brush up on bilingual translation tasks.
Familiarize with AI evaluation tools.

Behavioral Questions

Describe team collaboration examples.
Explain handling tight review deadlines.
Share problem-solving experiences.
Discuss adapting feedback in projects.