Arcdark

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Natural language processing and AI response evaluation

Dataset labeling for natural language model training

Visual cue annotation for AI model training

Top Data Types

Text

Image

Document

Top Task Types

Entity (NER) Classification

Classification

Prompt + Response Writing (SFT)

Freelancer Overview

AI Response Evaluation (Self-Directed/Freelance Path). Core strengths include Don't disclose and Other. Education includes Secondary Education, Dhaka (2020). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

Prompt Engineering (Self-Directed)

Don't discloseTextPrompt + Response Writing (SFT)

Developed and refined prompts to elicit high-quality outputs from Large Language Models (LLMs) as part of prompt engineering practice. Focused on producing clear instruction formats to guide model generation more effectively. Used iterative prompt crafting intended to improve response quality and usefulness for given tasks. • Crafted prompts to guide LLM outputs • Refined prompt wording for better results • Optimized instruction clarity and constraints • Iterated based on expected output quality

2026 - Present

AI Model Training - Visual Cue Labeling (Self-Directed/Freelance Path)

OtherImageClassification

Supported AI model training by helping label datasets that included visual cues, enabling models to learn from image-related information. Contributed annotations intended to improve how machine learning systems recognize and interpret visual patterns. Applied labeling attention to ensure examples aligned with training goals. • Assisted with image-related dataset labeling tasks • Labeled examples to represent visual cues for learning • Focused on producing usable labeled data for training • Ensured annotations supported model understanding objectives

2026 - Present

AI Model Training - Dataset Identification & Labeling (Self-Directed/Freelance Path)

OtherTextEntity (NER) Classification

Participated in identifying and labeling natural language datasets to support AI model training for understanding language patterns and visual cues. Performed text labeling activities aligned with training objectives to improve machine learning performance on language understanding tasks. Used structured dataset annotation efforts to help downstream model learning. • Labeled dataset samples to improve natural language understanding • Supported training for recognizing language cues relevant to objectives • Prepared annotated examples for model training • Collaborated via self-directed dataset identification and labeling

2026 - Present

AI Response Evaluation (Self-Directed/Freelance Path)

Don't discloseText

Worked on auditing and evaluating AI-generated natural language outputs against specified criteria for accuracy, safety, helpfulness, tone, factual correctness, and grammatical integrity. Supported AI model improvement by identifying issues in generated responses and ensuring they met defined requirements for quality. Contributed to AI data operations through careful review workflows intended to improve model alignment. • Audited AI responses for factual correctness and safety alignment • Checked tone and grammatical integrity • Evaluated helpfulness and adherence to requested criteria • Applied logical analysis to surface errors and inconsistencies

2026 - Present

Education

Work History