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Preethi G.

Preethi G.

AI Analyst Math — Innodata (Remote, India)

India flagRemote, India

Key Skills

Software

Don't disclose
Axiom AI
CrowdSourceCrowdSource
Data Annotation TechData Annotation Tech
Google Cloud Vertex AIGoogle Cloud Vertex AI
LabelboxLabelbox
SuperAnnotateSuperAnnotate

Top Subject Matter

Mathematics (step-by-step reasoning, graduate/Olympiad-level problems)
Mathematics (LLM training, step-by-step reasoning)
Mathematics (LLM training & dataset quality)

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming
DocumentDocument

Top Task Types

Fine-tuningFine-tuning
Text GenerationText Generation
ClassificationClassification
SegmentationSegmentation
Question AnsweringQuestion Answering
Evaluation/RatingEvaluation/Rating
Computer Programming/CodingComputer Programming/Coding
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

AI Analyst Math — Innodata (Remote, India). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Integrated Masters of Technology, Indian Institute of Technology (ISM) (2024) and N/A, Goldman Sachs (2023). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning and Text Generation.

Labeling Experience

AI Analyst Math — Innodata (Remote, India)

Don't discloseTextTextFine-tuningFine-tuning

Designed verifiable, mathematically grounded step-by-step datasets to improve model generalization and reduce hallucinations in multi-step math problems. Translated mathematical reasoning into efficient Python/C++ pipelines with robust test coverage for reliable AI outputs. Focused on creating high-quality training material where each reasoning step is checkable and consistent with the underlying math.

2026 - Present

Freelance AI Trainer Math — Aligner / alignedhq.ai (Remote, India)

Don't discloseTextTextFine-tuningFine-tuning

Produced high-quality datasets and assessed model reasoning quality to enhance mathematical accuracy for production-ready AI systems. Trained LLMs to solve complex mathematical problems across multiple difficulty levels using structured evaluation of reasoning quality. Supported iterative improvement of model outputs through dataset creation and performance assessment focused on correctness and reliability.

2024 - Present

AI Trainer Math — Turing (Remote, India)

Don't discloseTextTextText GenerationText Generation

Trained and evaluated large language models on graduate, Olympiad, and undergraduate math by building solution pipelines with detailed test cases. Worked on step-by-step mathematical reasoning to improve correctness and consistency of generated solutions. Provided training support using Python and C++ implementations to generate and validate math reasoning outputs.

2025 - 2025

Education

I

Indian Institute of Technology (ISM)

Integrated Masters of Technology, Mathematics and Computing

Integrated Masters of Technology
2019 - 2024
C

Coursea

Machine Learning Certified Specialist, Machine Learning

Machine Learning Certified Specialist
2023 - 2023

Work History

I

Innodata

AI Analyst, Mathematics

Remote
2026 - Present
A

Aligner And Alignedhq.Ai

Freelance AI Reasoning Trainer (Mathematics)

Remote
2024 - Present