Shubham Lamba

Key Skills

Software

Labelbox

Data Annotation Tech

Appen

CrowdSource

Other

Top Subject Matter

General Object Detection

Computer Vision

Top Data Types

Text

Audio

Image

Video

Top Task Types

RLHF

Evaluation Rating

Data Collection

Question Answering

Prompt Response Writing SFT

Bounding Box

Freelancer Overview

Image Annotation & Data Quality Specialist. Core strengths include Other. AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

AI Trainer – Advanced LLM Evaluation Projects

CrowdsourceTextEvaluation RatingData Collection

As an AI Trainer at RWS, I contributed to advanced LLM evaluation projects involving reasoning assessment and dataset refinement. My main task was reviewing and optimizing English and multilingual AI responses for tone, grounding, and logical structure. The focus included chatbot consistency and accuracy benchmarking in multiple projects. • Evaluated Diamond (Multimango & Parimango) and Ruby projects. • Reviewed model outputs for factual correctness and coherence. • Refined datasets through complex reasoning evaluation. • Enhanced response consistency in English and multilingual settings.

As an AI Trainer at RWS, I contributed to advanced LLM evaluation projects involving reasoning assessment and dataset refinement. My main task was reviewing and optimizing English and multilingual AI responses for tone, grounding, and logical structure. The focus included chatbot consistency and accuracy benchmarking in multiple projects. • Evaluated Diamond (Multimango & Parimango) and Ruby projects. • Reviewed model outputs for factual correctness and coherence. • Refined datasets through complex reasoning evaluation. • Enhanced response consistency in English and multilingual settings.

2025 - Present

Image Annotation & Data Quality Experience

OtherImageBounding Box

I reviewed image datasets to identify and resolve incorrect, missing, and misaligned annotations, in line with defined quality standards. This included detailed frame-by-frame validation and quality assurance to optimize dataset accuracy and reliability. Consistent identification and correction of boundary, object labeling, and annotation errors were integral to my image annotation QA work. • Executed high-precision validation of annotated image datasets • Detected and corrected mislabeling and incomplete annotations • Applied structured annotation guidelines for QA • Ensured large-scale dataset accuracy and consistency

I reviewed image datasets to identify and resolve incorrect, missing, and misaligned annotations, in line with defined quality standards. This included detailed frame-by-frame validation and quality assurance to optimize dataset accuracy and reliability. Consistent identification and correction of boundary, object labeling, and annotation errors were integral to my image annotation QA work. • Executed high-precision validation of annotated image datasets • Detected and corrected mislabeling and incomplete annotations • Applied structured annotation guidelines for QA • Ensured large-scale dataset accuracy and consistency

2024 - Present

AI Trainer – Mathematics, Physics, English & Hindi

AppenTextEvaluation Rating

As an AI Trainer at Outlier.ai, I evaluated AI-generated solutions in Mathematics, Physics, English, and Hindi for logic and accuracy. My responsibilities included step-by-step reasoning validation, hallucination detection, and response rating according to rubrics. I contributed to dataset improvements and participated in bilingual AI output evaluation projects. • Evaluated academic and conversational outputs for accuracy and clarity. • Utilized structured rubrics to assess logical coherence. • Improved dataset quality for model enhancement. • Worked on the Cypher Evals C project with bilingual datasets.

As an AI Trainer at Outlier.ai, I evaluated AI-generated solutions in Mathematics, Physics, English, and Hindi for logic and accuracy. My responsibilities included step-by-step reasoning validation, hallucination detection, and response rating according to rubrics. I contributed to dataset improvements and participated in bilingual AI output evaluation projects. • Evaluated academic and conversational outputs for accuracy and clarity. • Utilized structured rubrics to assess logical coherence. • Improved dataset quality for model enhancement. • Worked on the Cypher Evals C project with bilingual datasets.

2024 - Present

Audio data labeling

Data Annotation TechAudioQuestion Answering

Audio data labeling

Audio data labeling

2024

Data Labeling

LabelboxTextRLHFEvaluation Rating

I have labeled and compared the responses generated by the prompts.

I have labeled and compared the responses generated by the prompts.

2024

Show more

Education

Work History