Sam Jafari

Key Skills

Software

Labelbox

Other

Appen

Toloka

Telus

OneForma

Mindrift

Clickworker

Top Subject Matter

Multilingual NLP

Localization Domain Expertise

LLM evaluation

Top Data Types

Text

Image

Video

Top Task Types

Prompt + Response Writing (SFT)

Entity (NER) Classification

Bounding Box

Segmentation

Classification

Object Detection

Text Generation

Question Answering

Text Summarization

Fine-tuning

Red Teaming

Transcription

Evaluation/Rating

Computer Programming/Coding

Freelancer Overview

Lead Linguist & Prompt Engineer, Tima Enterprise Group. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Other, and Mindrift. Education includes Doctor of Philosophy, University of Tehran (2019) and Master of Arts, University of Tehran (2014). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Entity (NER) Classification, and Evaluation.

Labeling Experience

Lead Linguist & Prompt Engineer, Tima Enterprise Group

LabelboxTextPrompt Response Writing SFT

As Lead Linguist & Prompt Engineer, I led automated annotation and quality assurance initiatives utilizing LLMs and data processing tools. I conducted thorough evaluation and refinement of AI-generated outputs by analyzing linguistic KPIs including consistency, coverage, and bias. My responsibilities involved collaborating with interdisciplinary teams to improve annotation workflows and integrate LLMs into labeling pipelines. • Automated and quality-controlled text annotation for multilingual NLP tasks. • Crafted and optimized prompts for data labeling and localization using LLMs. • Evaluated and refined outputs, focusing on linguistic quality and bias. • Integrated LLMs into human-in-the-loop labeling workflows with cross-team collaboration.

As Lead Linguist & Prompt Engineer, I led automated annotation and quality assurance initiatives utilizing LLMs and data processing tools. I conducted thorough evaluation and refinement of AI-generated outputs by analyzing linguistic KPIs including consistency, coverage, and bias. My responsibilities involved collaborating with interdisciplinary teams to improve annotation workflows and integrate LLMs into labeling pipelines. • Automated and quality-controlled text annotation for multilingual NLP tasks. • Crafted and optimized prompts for data labeling and localization using LLMs. • Evaluated and refined outputs, focusing on linguistic quality and bias. • Integrated LLMs into human-in-the-loop labeling workflows with cross-team collaboration.

2022 - Present

Linguistics Expert & AI Tutor, Mindrift

MindriftTextPrompt Response Writing SFT

As a linguistics expert for Mindrift, I designed and refined AI tutoring content to train and evaluate language models. I developed linguistically sound explanations and prompt sets covering syntax, semantics, and translation topics. My role encompassed prompt engineering and data preparation for LLM evaluation and training. • Crafted educational content for AI model training in linguistics. • Designed evaluation and training prompts for syntax and semantics. • Focused on enhancing AI understanding of complex linguistic phenomena. • Contributed to the preparation of high-quality, labeled NLP data.

As a linguistics expert for Mindrift, I designed and refined AI tutoring content to train and evaluate language models. I developed linguistically sound explanations and prompt sets covering syntax, semantics, and translation topics. My role encompassed prompt engineering and data preparation for LLM evaluation and training. • Crafted educational content for AI model training in linguistics. • Designed evaluation and training prompts for syntax and semantics. • Focused on enhancing AI understanding of complex linguistic phenomena. • Contributed to the preparation of high-quality, labeled NLP data.

2023 - 2023

LLM Multilingual Tasks Auditor, Falcon

OtherText

I audited multilingual tasks for Falcon, focusing on evaluating prompt quality, cultural adaptation, and linguistic accuracy in various languages. My work contributed to the improvement of LLM outputs through structured task analysis and prompt refinement. I provided detailed feedback to drive iterative enhancements in data annotation quality. • Evaluated diverse multilingual tasks for LLM accuracy and relevance. • Focused on linguistic quality, cultural adaptation, and prompt structure. • Provided structured analysis and feedback for ongoing model improvement. • Collaborated in prompt refinement to enhance AI task performance.

I audited multilingual tasks for Falcon, focusing on evaluating prompt quality, cultural adaptation, and linguistic accuracy in various languages. My work contributed to the improvement of LLM outputs through structured task analysis and prompt refinement. I provided detailed feedback to drive iterative enhancements in data annotation quality. • Evaluated diverse multilingual tasks for LLM accuracy and relevance. • Focused on linguistic quality, cultural adaptation, and prompt structure. • Provided structured analysis and feedback for ongoing model improvement. • Collaborated in prompt refinement to enhance AI task performance.

2023 - 2023

Linguistic Data Analyst, Tima Enterprise Group

LabelboxTextEntity Ner Classification

In my role as Linguistic Data Analyst, I designed and implemented prompts to improve accuracy in multilingual Named Entity Recognition (NER), Text Classification, Sentence Segmentation, and POS tagging. My work included using platforms like Labelbox for large-scale data labeling, ensuring consistency and cultural relevance. I maintained high standards for annotation quality across diverse language datasets. • Developed multilingual prompts for NER and classification projects. • Conducted POS tagging and sentence segmentation quality control. • Ensured culturally adaptive, consistent annotation processes. • Utilized Labelbox for scalable text data annotation in NLP workflows.

In my role as Linguistic Data Analyst, I designed and implemented prompts to improve accuracy in multilingual Named Entity Recognition (NER), Text Classification, Sentence Segmentation, and POS tagging. My work included using platforms like Labelbox for large-scale data labeling, ensuring consistency and cultural relevance. I maintained high standards for annotation quality across diverse language datasets. • Developed multilingual prompts for NER and classification projects. • Conducted POS tagging and sentence segmentation quality control. • Ensured culturally adaptive, consistent annotation processes. • Utilized Labelbox for scalable text data annotation in NLP workflows.

2019 - 2022

Education

Work History