Avinashreddy

Key Skills

Software

Don't disclose

Top Subject Matter

LLM response evaluation and Python-based training support

Multilingual image quality rating and search relevance evaluation

Legal Services & Contract Review

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Object Detection

RLHF

Evaluation/Rating

Data Collection

Computer Programming/Coding

Freelancer Overview

AI Trainer / Java Developer / Image Annotator at Outlier (Remote). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Technology, N/A (2024) and Image Quality Rating Certification, N/A (2024). AI-training focus includes data types such as Computer Code, Programming, and Image and labeling workflows including Evaluation and Rating.

Labeling Experience

Image Quality Rater at RemoExperts (Remote)

Don't discloseImage

Assessed image quality, relevance, and usefulness for AI-powered search systems using detailed scoring rubrics. Evaluated multilingual image-text alignment across datasets to improve model understanding and dataset consistency. Identified low-quality, duplicate, or misleading images and provided actionable feedback to meet training-ready quality benchmarks. • Scored image quality and usefulness for search relevance. • Reviewed multilingual image-text alignment for dataset improvement. • Flagged duplicates, low-quality, and misleading images using rubrics. • Delivered timely feedback while maintaining quality and turnaround targets.

2025 - Present

AI Trainer / Java Developer / Image Annotator at Outlier (Remote)

Don't disclose

Provided Python and coding support for LLM training through code review, debugging, and logic validation to improve training quality. Evaluated AI-generated responses for correctness, clarity, adherence to instructions, and safety standards while identifying issues affecting response quality. Ranked model outputs to enhance user relevance and alignment performance across prompts. • Reviewed generated code for syntax, logic, and efficiency problems. • Checked response quality dimensions including safety and instruction following. • Performed response ranking/scoring to compare multiple candidate outputs. • Collaborated on iterative evaluation workflows for ongoing LLM training.

2024 - 2025

Education

Work History