For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
A
Anirudh Singh

Anirudh Singh

Researcher — AI/ML Division

USA flagmontana, Usa
$60.00/hrExpertOtherCVATData Annotation Tech

Key Skills

Software

Other
CVATCVAT
Data Annotation TechData Annotation Tech
MercorMercor
RoboflowRoboflow

Top Subject Matter

Satellite Imagery
Geospatial Data
Navigation Systems

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

ClassificationClassification
Text GenerationText Generation

Freelancer Overview

Researcher — AI/ML Division. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Postgraduate Specialisation, Saïd Business School, University of Oxford (2026) and Doctor of Philosophy, Manipal University Jaipur (2025). AI-training focus includes data types such as Image and Text and labeling workflows including Classification and Text Generation.

ExpertEnglish

Labeling Experience

Researcher — AI/ML Division

ImageClassification
Built deep learning models for satellite imagery-based terrain classification and object detection. Developed AI/ML models for lunar rover navigation, focusing on real-time positioning using geospatial data. Led research on multipath classification of NAVIC signals with a focus on mitigating signal distortion effects for satellite operations. • Implemented advanced labeling of geospatial imagery and signals data sets. • Involved in data annotation for remote sensing applications in space missions. • Applied image classification and object detection to support autonomous path planning. • Used internal/proprietary tools common in space research for image and signal annotation.

Built deep learning models for satellite imagery-based terrain classification and object detection. Developed AI/ML models for lunar rover navigation, focusing on real-time positioning using geospatial data. Led research on multipath classification of NAVIC signals with a focus on mitigating signal distortion effects for satellite operations. • Implemented advanced labeling of geospatial imagery and signals data sets. • Involved in data annotation for remote sensing applications in space missions. • Applied image classification and object detection to support autonomous path planning. • Used internal/proprietary tools common in space research for image and signal annotation.

2024 - 2024

Artificial Intelligence and Machine Learning Intern

ImageClassification
Worked on multimodal datasets including images, text, and financial data for real-world machine learning applications. Supported data processing and labeling operations as part of end-to-end ML pipelines. Engaged in image and text annotation to enhance model training quality. • Labeled sample image datasets for classification and segmentation tasks. • Conducted data curation and annotation for training ML models. • Used Python-based internal tools for annotating image and text data. • Ensured data integrity and annotation accuracy in supervised ML experiments.

Worked on multimodal datasets including images, text, and financial data for real-world machine learning applications. Supported data processing and labeling operations as part of end-to-end ML pipelines. Engaged in image and text annotation to enhance model training quality. • Labeled sample image datasets for classification and segmentation tasks. • Conducted data curation and annotation for training ML models. • Used Python-based internal tools for annotating image and text data. • Ensured data integrity and annotation accuracy in supervised ML experiments.

2023 - 2023

Artificial Intelligence Intern

OtherTextText Generation
Developed and optimized NLP and large language models for enterprise automation use cases. Worked with text datasets that required curation and preparation for AI model training. Participated in tasks involving data labeling and prompt engineering for model fine-tuning. • Annotated enterprise text datasets for classification and generation tasks. • Performed quality control of textual data for large language models. • Used open-source and internal tools for NLP-related data annotation. • Supported prompt-response data preparation for large language model training.

Developed and optimized NLP and large language models for enterprise automation use cases. Worked with text datasets that required curation and preparation for AI model training. Participated in tasks involving data labeling and prompt engineering for model fine-tuning. • Annotated enterprise text datasets for classification and generation tasks. • Performed quality control of textual data for large language models. • Used open-source and internal tools for NLP-related data annotation. • Supported prompt-response data preparation for large language model training.

2023 - 2023

Education

S

Saïd Business School, University of Oxford

Postgraduate Specialisation, Artificial Intelligence for Financial Services

Postgraduate Specialisation
2025 - 2026
M

Manipal University Jaipur

Bachelor of Technology, Computer Science

Bachelor of Technology
2021 - 2025

Work History

S

Silvrix AI

AI Strategy Consultant

N/A
2026 - Present
M

Masters Union

Professor Of Strategic Business Management

N/A
2025 - 2025