Freelancer

Key Skills

Software

Label Studio

Data Annotation Tech

Top Subject Matter

LLM code response evaluation and ranking

Top Data Types

Text

Top Task Types

Classification

RLHF

Entity (NER) Classification

Freelancer Overview

AI Data Annotator & Code Evaluator (Python code assessment and RLHF-style evaluation). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Data Annotation Tech, Internal, and Proprietary Tooling. Education includes Bachelor of Technology, N/A (2022). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation, Rating, and Computer Programming.

Labeling Experience

AI Data Annotator & Code Evaluator (Python code assessment and RLHF-style evaluation)

Data Annotation Tech

Evaluated and ranked AI-generated code responses for correctness, quality, and instruction-following accuracy using DataAnnotation platform rubrics. Labeled structured text data and authored written rationales to justify model response quality judgments. Applied software engineering expertise to detect subtle logic errors, edge cases, and code style issues, including hallucinated or off-topic outputs.• Compared two model outputs in an RLHF-style preference evaluation and selected the better response• Checked adherence to user instructions and prompt requirements as part of instruction-following evaluation• Assessed code for completeness, clarity, and correctness across Python-related tasks• Wrote consistent, guideline-aligned feedback using provided rubric criteria

2024 - Present

AI Data Annotator (Freelance) - DataAnnotation Platform

Label StudioTextClassificationRLHF

Freelance AI Data Annotator focused on completing coding and evaluation tasks for AI outputs using web scraping and code assessment. He produced and evaluated Python, JavaScript, and shell scripting responses for correctness, logic, and instruction adherence. He maintained consistent labeling quality and followed platform guidelines with high attention to detail. • Completed coding exercises using Python requests and BeautifulSoup for web scraping • Evaluated and ranked AI-generated code responses for correctness and logic • Assessed LLM output accuracy across Python, JavaScript, and shell scripting tasks • Maintained high attention to detail and met platform quality standards

2024 - Present

Freelance AI Data Annotator (Code evaluation) | DataAnnotation Platform | 2024 – Present

Evaluated and ranked AI-generated code responses for correctness, logic, and instruction-following quality across multiple programming tasks. Assessed LLM output accuracy for Python, JavaScript, and shell scripting by judging whether the responses met the prompt requirements. Maintained high attention to detail while adhering to platform quality standards and completing assigned evaluation work. • Code-response correctness evaluation • Logic and edge-case judgment • Instruction-following quality checks • Detail-oriented quality compliance

2024 - Present

DevOps Engineer (Technical Domain Expert) — annotation-relevant code evaluation and documentation

Performed daily technical review and evaluation of Python, Bash, and YAML code in CI/CD pipeline development workflows to support infrastructure correctness. Identified and documented bugs, misconfigurations, and logic errors in infrastructure-as-code and automation scripts. Used structured formats such as JSON, YAML, and CSV extensively while working on cloud automation and monitoring tasks that translate to labeling and annotation quality checks.• Applied software engineering domain knowledge to spot edge cases and configuration mistakes• Produced clear, structured written reports suitable for annotation-style rationales• Interpreted and evaluated automation scripts and infrastructure definitions for correctness• Ensured consistency when working with structured data payloads and outputs

2022 - Present

Education

Work History