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.
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
2. 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
3. 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
4. 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
Qualifications
Required
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
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
Location & Work Mode
: Hybrid
Job Types: Full-time, Permanent
Benefits:
Health insurance
Internet reimbursement
Paid time off
Provident Fund
Work from home
Application Question(s):
Are you willing to make a long-term commitment to this role and be flexible to work outside normal working hours if required?
This is a non-technical role. Are you genuinely interested in pursuing a non-technical career path?
Work Location: Remote
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