Hema sri ASRITHA
As an AI Training & Evaluation Contractor, I approach my work with a highly logical and meticulous mindset, ensuring precision in every task. My diligence and commitment to accountability drive me to deliver compliant and pragmatically sound results, consistently upholding high standards.
Experience
AI Training & Evaluation Contractor
Labelbox, Inc. (via Upwork Enterprise) · Aug 2026 – Present
- Selected as an AI training and evaluation contractor for an enterprise-scale generative AI program.
- Completed project onboarding, platform setup, and required compliance training for AI/LLM evaluation workflows.
- Preparing to review and evaluate AI-generated code and model outputs for correctness, reliability, and reasoning quality.
- Trained on annotation guidelines, quality rubrics, and consistency standards across multimodal AI data.
- Contracted to support AI/LLM training, evaluation, and data-quality workflows as project tasks become available.
AI Training & Evaluation Contractor – Programming & LLMs
Labelbox · Aug 2026 – Present
- Selected as an AI Training & Evaluation Contractor for an enterprise-scale Generative AI program with Labelbox, supporting AI/LLM training and evaluation through the Alignerr platform.
- The role involves applying programming expertise, particularly Python, to evaluate AI-generated code and model outputs for correctness, reliability, relevance, and reasoning quality, while following structured annotation guidelines, quality rubrics, and consistency standards.
- Also trained in LLM evaluation, prompt-related quality assessment, and multimodal AI data-quality workflows, contributing to reliable and high-quality AI training pipelines.
Analyst - AI/LLM Practice
Innodata Inc. · Jun 2026 – Present
- Working as an Analyst in the AI/LLM Practice division at Innodata India Pvt.
- Ltd.
- Contributing to Generative AI and Large Language Model training projects including data annotation, prompt review, content moderation and quality evaluation.
Analyst - AI/LLM Practice
Innodata India Pvt. Ltd. · Jun 2026 – Aug 2026
- Worked on AI/LLM data annotation and content analysis, reviewing and labeling data to support machine-learning and language-model workflows.
- Applied annotation guidelines, taxonomy, quality checks, and consistency standards while working with AI/LLM datasets.
- Developed practical understanding of LLM workflows, data quality, prompt-related evaluation, and AI model training data.
Data base analyst
UV Netware · Mar 2026 – Apr 2026
Database Analyst Intern
UV Netware Private Limited · Mar 2026 – Apr 2026
- Designed and executed SQL-based analytical queries to extract structured insights from enterprise datasets exceeding 1,000+ validated records.
- Built data validation and cleaning pipelines to ensure high accuracy in reporting workflows aligned with data governance standards.
- Collaborated cross-functionally to deliver analytics reports supporting operational decision-making.
Research Intern
Consilience Research Foundation · Jul 2025 – Sep 2025
- Conducted independent research on urban heat vulnerability using multi-year PM2.5 environmental datasets (2020-2025) across Indian cities.
- Designed a quantitative vulnerability index using WHO air quality thresholds and percentile-based classification, enabling cross-city comparison.
- Applied NLP techniques (TF-IDF, LDA topic modeling) to mine and analyze 50+ government policy documents, identifying actionable research gaps.
- Produced reproducible data pipelines and seasonal pollution trend visualizations using Python, Pandas, and Matplotlib.
Skills 0 proven through work
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Education
B.Tech, Artificial Intelligence and Data Science
VR Siddhartha Engineering College · 2022 — 2026
Projects
Contact details
Contact details
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What drives their work
The Specialist
Systematically refines inputs to ensure precise outputs.
Hema's superpower
You excel at meticulously dissecting complex data and guidelines to ensure unparalleled accuracy and consistency in outcomes.
How Hema works
You would excel in teams that value precision, systematic problem-solving, and continuous improvement in data-intensive or AI-focused environments.
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