Company: CIED

About the job

We are a fast-growing AI solutions company that automates responses to Requests for Information (RFIs) from customers, with a focus on sustainability, compliance, and product specifications. Our systems use advanced Natural Language Processing (NLP) and Retrieval-Augmented Generation (RAG) models to generate accurate, context-rich responses. To maintain the highest quality, we are building a human-in-the-loop data team to support and improve AI output.

About the Internship + Full-Time Opportunity

This is a 1-month internship program for fresh graduates who want to start a career in AI support, data quality, and document review.

  • During this internship, you will learn how our AI workflow functions, including how information is extracted, organized, and reviewed for accuracy. You will also get an introduction to how AI models improve through feedback, how RAG-based systems retrieve information, and how data quality affects the final answers.
  • You will work with sample datasets and example documents to practice reviewing extracted content, correcting system mistakes, and checking AI-generated answers.
  • Your learning speed, communication, attention to detail, and ability to follow structured processes will be monitored throughout the internship.
  • Candidates who perform well will receive a full-time offer for the Data Associate role, where they will begin collaborating directly with QA and tech teams.

Requirements

  • Strong attention to detail and ability to spot mistakes.
  • Basic analytical thinking and problem-solving mindset.
  • Good command of English language – both written and comprehension
  • Comfortable working with documents in various formats and using basic tools (Google Docs, Sheets, PDFs,MS Office tools)

Preferred

  • Familiarity with ChatGPT or other AI tools is a plus
  • Interest in AI, document processing, or quality control
  • Interest in understanding how AI improves through feedback.

Skills & Competencies

  • Document interpretation and summarization
  • Basic understanding of data accuracy and formatting
  • Communication and teamwork
  • Initiative and adaptability in fast-paced environments

The candidate

RFI Question Extraction & Verification

  • Identify and extract questions from customer-submitted RFI documents (PDFs, Word, Excel, etc.)
  • Categorize and structure questions accurately under the guidance of domain experts
  • Ensure completeness and clarity of extracted data

Digitized Document Format Review

  • Review digitized versions of documents for formatting errors, misinterpretations, and incomplete data capture
  • Make corrections and annotate issues to improve data quality for the AI training process
  • Assist in maintaining metadata such as document type, language, and structure

AI Answer Review

  • Evaluate answers generated by the AI model based on accuracy, relevance, and clarity
  • Highlight incorrect, ambiguous, or missing responses and suggest better alternatives
  • Tag responses as Verified / Needs Review / Incorrect based on defined quality standards

Reporting & Collaboration

  • Document and report issues found during data extraction, verification, or AI output evaluation
  • Communicate clearly with development and QA teams to relay edge cases or repeated issues
  • Assist in creating feedback loops to help the AI system learn from human corrections

What we offer

  • 1-Month Internship with potential Full-Time Offer based on performance
  • Competitive fresher salary with performance-based incentives
  • Work with cutting-edge AI systems
  • Mentorship from experienced AI/QA professionals
  • Friendly environment
  • Chance to own responsibility and demonstrate accountability
  • Flexible Work Arrangements: Onsite or remote options (as per company policy).
  • International horizons – work with international teams and clients from all corners of the world
  • Company parties, team events and the opportunity to work with great colleagues from all over the world
  • Medical Insurance

Experience level: Junior

How to apply: send your CV and motivation to akash@cied.in