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AI Data Annotator with less than a year in AI/ML dataset labeling & validation.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Data Annotator with hands-on experience in AI/ML dataset labeling, data validation, and structured annotation workflows. Skilled in Label Studio, Excel, Python (basic), SQL (basic), and quality assurance processes for training data. BCA graduate with strong analytical skills and a growing focus on Prompt Engineering, AI Operations, and Generative AI systems.
Bharati Vidyapeeth IMRDA, Sangli
Bachelor of Computer Applications (BCA) · Computer Applications
N/A – June 30, 2022
SMT. Gange Prashala, Talwade
SSC
N/A – Present
Vidya Vally Jr. College, Chikhali
HSC
N/A – Present
Kriya Nextwealth Pvt Ltd
Data Annotator
March 1, 2026 – Present
India
Sales Order Management System
June 2, 2026 – Present
Designed a system to manage product orders, pricing, and inventory workflows with structured data handling and reporting features.
Cultural Fit Analysis
The candidate's academic project on a 'Sales Order Management System' shows an ability to design structured data handling systems. Their current role as a Data Annotator at Kriya Nextwealth Pvt Ltd, combined with their stated target roles (AI Data Annotator, Prompt Engineer, AI Trainer, AI Quality Analyst, LLM Data Specialist, Remote AI Operations), indicates a clear career trajectory and interest in the AI/ML data domain. This alignment suggests a good cultural fit for a role focused on AI data training and quality.
Soft Skills & Operational Fit
The candidate's resume highlights analytical thinking, attention to detail, problem-solving, and process improvement, which are valuable soft skills for an AI Data Trainer role. Their experience in collaborating with QA and operations teams suggests an ability to work within structured data pipelines and contribute to efficiency improvements. The focus on quality assurance and reducing labeling errors indicates a methodical approach to tasks.