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V

Vedaant Sooden

AI Data Labeler / AI Evaluation Specialist, Alignerr

India flagN/A, India
$30.00/hrIntermediateLabelboxAppenCrowdsource

Key Skills

Software

LabelboxLabelbox
AppenAppen
CrowdSourceCrowdSource
Data Annotation TechData Annotation Tech
OneFormaOneForma
MindriftMindrift
RemotasksRemotasks
Scale AIScale AI
SuperAnnotateSuperAnnotate

Top Subject Matter

LLM Reasoning and Evaluation
LLM Prompt Engineering and Model Training
AI Coding and Programming Model Training

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Bounding BoxBounding Box
ClassificationClassification
Text GenerationText Generation
Object DetectionObject Detection
RLHFRLHF
Text SummarizationText Summarization
Red TeamingRed Teaming
Fine-tuningFine-tuning
Computer Programming/CodingComputer Programming/Coding
Evaluation/RatingEvaluation/Rating
TranscriptionTranscription
Data CollectionData Collection
Function CallingFunction Calling

Freelancer Overview

AI Data Labeler & AI Evaluation Specialist with hands-on experience across LLM evaluation, prompt engineering, and large-scale AI training workflows. In addition to core labeling and evaluation work, I specialize in building and optimizing AI-driven automation systems using n8n, integrating tools like APIs, LLMs, and third-party platforms to streamline data processing, evaluation pipelines, and feedback loops. My work focuses on improving model performance through structured prompt design, ground truth review, and systematic error analysis across text, code, and reasoning tasks. I bring a strong foundation in structured analysis, quality assurance, and scalable workflow design, with experience spanning SFT and RLHF-style projects, response evaluation, and multimodal tasks (including code, transcripts, and image/voice assessments). I combine technical problem-solving with practical AI training expertise particularly in designing end-to-end automation pipelines that enhance efficiency, consistency, and data quality in AI systems.

IntermediateEnglishHindi

Labeling Experience

AI Trainer, Outlier

TextPrompt Response Writing SFT
As an AI Trainer at Outlier, I specialized in designing and optimizing prompts to enhance large language model performance. My work focused on improving reasoning depth, clarity, and contextual understanding in model-generated responses, ensuring outputs were both technically accurate and user-relevant. I played a key role in aligning model behavior with real-world problem-solving expectations through structured prompt engineering and iterative refinement. I contributed to RLHF and SFT pipelines by developing high-quality, domain-specific prompts and rigorously evaluating model outputs for correctness, coherence, and regional adaptability. Additionally, I refined responses to ensure inclusivity and effectiveness across diverse user contexts, including regional variations in English. My approach combines analytical thinking, subject-matter expertise, and attention to detail to consistently deliver impactful training data that improves model performance.

As an AI Trainer at Outlier, I specialized in designing and optimizing prompts to enhance large language model performance. My work focused on improving reasoning depth, clarity, and contextual understanding in model-generated responses, ensuring outputs were both technically accurate and user-relevant. I played a key role in aligning model behavior with real-world problem-solving expectations through structured prompt engineering and iterative refinement. I contributed to RLHF and SFT pipelines by developing high-quality, domain-specific prompts and rigorously evaluating model outputs for correctness, coherence, and regional adaptability. Additionally, I refined responses to ensure inclusivity and effectiveness across diverse user contexts, including regional variations in English. My approach combines analytical thinking, subject-matter expertise, and attention to detail to consistently deliver impactful training data that improves model performance.

2024 - 2025

AI Data Labeler / AI Evaluation Specialist, Alignerr

TextFine Tuning
As an AI Data Labeler and Evaluation Specialist at Alignerr, I worked across a wide range of AI training workflows, including red teaming, coding evaluations, image assessment, and voice/transcript analysis. My role involved analyzing complex prompts, identifying reasoning gaps, and writing clear, reliable ground truth responses with step-by-step logic. I was also part of advanced projects like Senior PR Review, where I evaluated high-quality model outputs, flagged inconsistencies, and helped improve overall response standards. I regularly reviewed LLM outputs to detect hallucinations, factual errors, and reasoning flaws, while also contributing to evaluation frameworks and checklists to ensure consistency across tasks. My work extended to diverse areas such as image evaluation, transcript and voice quality assessment, and instruction-following (IF) projects, giving me strong exposure to multimodal AI systems. This experience has strengthened my attention to detail, critical thinking, and ability to improve model behavior across different domains and user contexts.

As an AI Data Labeler and Evaluation Specialist at Alignerr, I worked across a wide range of AI training workflows, including red teaming, coding evaluations, image assessment, and voice/transcript analysis. My role involved analyzing complex prompts, identifying reasoning gaps, and writing clear, reliable ground truth responses with step-by-step logic. I was also part of advanced projects like Senior PR Review, where I evaluated high-quality model outputs, flagged inconsistencies, and helped improve overall response standards. I regularly reviewed LLM outputs to detect hallucinations, factual errors, and reasoning flaws, while also contributing to evaluation frameworks and checklists to ensure consistency across tasks. My work extended to diverse areas such as image evaluation, transcript and voice quality assessment, and instruction-following (IF) projects, giving me strong exposure to multimodal AI systems. This experience has strengthened my attention to detail, critical thinking, and ability to improve model behavior across different domains and user contexts.

2024 - 2025

AI Coding Trainer, Remotebase

Computer Code ProgrammingComputer Programming Coding
As an AI Coding Trainer at Remotebase, I contributed to enhancing the performance of AI models by designing and evaluating high-quality technical prompts focused on programming tasks. My role involved ensuring the accuracy, clarity, and contextual relevance of AI-generated code, directly improving the model’s ability to produce reliable and efficient solutions. I worked extensively on refining outputs across various coding scenarios, aligning them with best practices and real-world use cases. Key contributions include authoring and reviewing structured prompts for model fine-tuning, maintaining a strong emphasis on precision in code generation, and validating the usefulness and correctness of programming responses. I collaborated in a fully remote environment to deliver consistent, high-quality training data, leveraging strong analytical thinking and attention to detail to drive measurable improvements in AI performance.

As an AI Coding Trainer at Remotebase, I contributed to enhancing the performance of AI models by designing and evaluating high-quality technical prompts focused on programming tasks. My role involved ensuring the accuracy, clarity, and contextual relevance of AI-generated code, directly improving the model’s ability to produce reliable and efficient solutions. I worked extensively on refining outputs across various coding scenarios, aligning them with best practices and real-world use cases. Key contributions include authoring and reviewing structured prompts for model fine-tuning, maintaining a strong emphasis on precision in code generation, and validating the usefulness and correctness of programming responses. I collaborated in a fully remote environment to deliver consistent, high-quality training data, leveraging strong analytical thinking and attention to detail to drive measurable improvements in AI performance.

2023 - 2024

Education

T

Thapar Institute of Engineering and Technology

Bachelor of Engineering, Computer Engineering

Bachelor of Engineering
2020 - 2024
T

Thapar Institute Of Engineering And Technology

Bachelor of Technology, Computer Science and Engineering

Bachelor of Technology
2020 - 2024

Work History

G

Growth Natives

Software Engineer

Remote
2024 - 2026
G

Growth Natives

Salesforce Developer Intern

N/A
2024 - 2024