Manouchehr K.

Key Skills

Software

Other

Don't disclose

Top Subject Matter

Prompt engineering and natural language understanding for AI model evaluation

Linguistic corpus development and annotation (Innu-aimun syntax/semantics)

Computational linguistics annotation (valency lexicon, syntactic dependency treebank, semantic/discourse corpora)

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

Entity (NER) Classification

Classification

Freelancer Overview

AI Trainer & Prompt Engineer, Outlier AI (Remote). Brings 16+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Don't disclose. Education includes Doctor of Philosophy, Memorial University of Newfoundland (2025) and Doctor of Philosophy, Tarbiat Modares University (2016). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Entity (NER) Classification, and Classification.

Labeling Experience

Research Assistant, Memorial University of Newfoundland

Don't discloseTextEntity (NER) Classification

Conducted linguistic data analysis tasks that included transcription and annotation as part of corpus development and research support. Assisted with designing and executing language research workstreams that relied on annotated linguistic data. Contributed to literature review and preparation of materials for publications and presentations using annotated findings. • Performed transcription and annotation of linguistic materials. • Assisted corpus development for syntax and semantics research. • Supported research tool/methodology refinement using annotated data. • Helped draft academic materials based on analysis results.

2021 - Present

AI Trainer & Prompt Engineer, Outlier AI (Remote)

OtherTextPrompt + Response Writing (SFT)

Worked as an AI Trainer & Prompt Engineer creating and refining prompts for LLM behavior. Focused on training and assessment workflows for linguistic accuracy, cultural sensitivity, and contextual coherence. Supported dataset creation with quality assurance and iterative feedback to improve model performance and ethical alignment. • Crafted large-scale prompts for training and evaluation of AI systems. • Performed data quality assurance as part of dataset creation workflows. • Used feedback loops to iteratively improve LLM performance. • Evaluated outputs for ethical AI behavior and contextual correctness.

2025 - 2025

Linguistic Researcher, Computer Research Center of Islamic Sciences (CRCIS)

OtherTextClassification

Participated in computational linguistics data creation efforts including building Persian lexical and treebank resources. Contributed to development and annotation of a Persian valency lexicon and a Persian syntactic dependency treebank. Worked on semantic and discourse corpus projects requiring structured linguistic data labeling. • Helped create the first Persian valency lexicon for verbs. • Served as an instructor and researcher for the Persian Syntactic Dependency Treebank project. • Contributed to semantic and discourse corpus data development. • Supported team efforts in large-scale linguistic annotation pipelines.

2010 - 2016

Education

Work History