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Subham Maharana

LLM Post-Training Intern — Ethara AI (Image/Video Annotation)

India flagHyderabad, India
$10.00/hrEntry Level

Key Skills

Software

No software listed

Top Subject Matter

Multimodal AI / Visual Data Annotation

Top Data Types

TextText
VideoVideo
ImageImage

Top Task Types

Object DetectionObject Detection
RLHFRLHF
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
ClassificationClassification

Freelancer Overview

LLM Post-Training Intern — Ethara AI (Image/Video Annotation). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. AI-training focus includes data types such as Image and labeling workflows including Classification.

Entry LevelEnglishHindi

Labeling Experience

LLM Post Training Intern — Ethara AI

TextRLHF
Performed text data annotation on the Multimango platform as part of LLM post-training workflows. Evaluated and ranked LLM-generated text outputs based on accuracy, relevance, and human preference to support model alignment. Compared multiple model responses and provided structured feedback to improve response quality and consistency.

Performed text data annotation on the Multimango platform as part of LLM post-training workflows. Evaluated and ranked LLM-generated text outputs based on accuracy, relevance, and human preference to support model alignment. Compared multiple model responses and provided structured feedback to improve response quality and consistency.

2025 - Present

LLM post trainee

ImageClassification
Performed image classification annotation on the Multimango platform to support computer vision model training. Analyzed and categorized images into predefined classes based on visual content including objects, scenes, and categories. Ensured accurate and consistent labeling across large image datasets to meet quality benchmarks for image classification model training pipelines.

Performed image classification annotation on the Multimango platform to support computer vision model training. Analyzed and categorized images into predefined classes based on visual content including objects, scenes, and categories. Ensured accurate and consistent labeling across large image datasets to meet quality benchmarks for image classification model training pipelines.

2026 - Present

LLM Post Training

VideoRLHF
Performed video-based RLHF tasks on the Multimango platform to support multimodal AI model alignment. Ranked and compared AI-generated videos based on quality, accuracy, and human preference. Evaluated video outputs for temporal consistency, visual relevance, and adherence to given prompts across multiple frames. Provided structured feedback to improve video generation models and align outputs with human expectations.

Performed video-based RLHF tasks on the Multimango platform to support multimodal AI model alignment. Ranked and compared AI-generated videos based on quality, accuracy, and human preference. Evaluated video outputs for temporal consistency, visual relevance, and adherence to given prompts across multiple frames. Provided structured feedback to improve video generation models and align outputs with human expectations.

2026 - Present

LLM post training

ImageRLHF
Performed image-based RLHF tasks on the Multimango platform to support multimodal AI model alignment. Ranked and compared AI-generated images based on quality, accuracy, and human preference. Evaluated outputs for visual consistency, relevance, and adherence to given prompts to provide structured feedback for improving image generation models.

Performed image-based RLHF tasks on the Multimango platform to support multimodal AI model alignment. Ranked and compared AI-generated images based on quality, accuracy, and human preference. Evaluated outputs for visual consistency, relevance, and adherence to given prompts to provide structured feedback for improving image generation models.

2026 - Present

LLM post training

ImageBounding Box
Annotated image datasets on the Multimango platform by drawing precise bounding boxes around objects to support object detection model training. Identified and labeled key objects within images including their location, category, and boundaries. Ensured high annotation accuracy and consistency across large image datasets to meet quality benchmarks for computer vision model training pipelines.

Annotated image datasets on the Multimango platform by drawing precise bounding boxes around objects to support object detection model training. Identified and labeled key objects within images including their location, category, and boundaries. Ensured high annotation accuracy and consistency across large image datasets to meet quality benchmarks for computer vision model training pipelines.

2026 - Present

Education

K

Kalam Institute of Management and Studies

Bachelor of Computer Applications, Computer Applications

Bachelor of Computer Applications
2022 - 2025
K

Kalam Science Higher Secondary School

Higher Secondary Certificate, Science

Higher Secondary Certificate
2020 - 2022

Work History

E

EvoAstra Ventures

AI/ML Intern & Co-Lead

Hyderabad
2025 - 2025
E

Evoastra Ventures Inc.

AI & Machine Learning Intern

Remote
2025 - 2025