Shady 6.

Key Skills

Software

Mercor

Other

Top Subject Matter

LLM output evaluation

code correctness assessment

and technical Q&A/rubric-based rating for AI training

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

AI Trainer, Code Reviewer & LLM Evaluation Contributor (Mercor/Outlier/Scale AI/Appen/Remotasks). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Mercor and Other. Education includes Master of Computer Applications, Guru Gobind Singh Indraprastha University (2026) and Bachelor of Computer Applications, University of Delhi (2024). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Prompt Engineering Contributor (LLM training and RLHF-style responses)

OtherPrompt + Response Writing (SFT)

Crafted and refined prompts for LLMs to produce accurate, context-aware outputs in software development scenarios. Wrote clear explanations of complex algorithms and data structures in structured English suitable for RLHF-oriented tasks. Focused on producing high-quality, rubric-aligned outputs by iterating prompt wording and response quality. • Prompt engineering for code-related LLM outputs • Structured algorithm/data-structure explanations • RLHF-suitable response writing • Iterative prompt and response refinement

2022 - 2024

AI Trainer, Code Reviewer & LLM Evaluation Contributor (Mercor/Outlier/Scale AI/Appen/Remotasks)

Mercor

Provided code generation and review support by writing and evaluating 200+ code snippets across JavaScript, Python, and SQL for correctness, efficiency, and style. Performed bug detection by identifying logical errors, edge-case failures, and security issues in code samples for AI evaluation exercises. Contributed to technical Q&A annotation by answering and rating programming, debugging, and software architecture questions for AI training datasets. • Code snippet correctness/efficiency/style evaluation • Bug detection and edge-case identification • Technical Q&A answering and rating • Algorithm and data-structure explanation for training

2022 - 2024

Education

Work History