Lokeshwaran Selvam

Key Skills

Software

Other

Remotasks

V7 Labs

Top Subject Matter

Biology Domain Expertise

Pharmacology Domain Expertise

Ai/ml Domain Expertise

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Classification

Question Answering

Text Generation

Object Detection

Evaluation/Rating

Freelancer Overview

Senior Associate SME (LLM Data Annotation and RLHF). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Remotasks. Education includes Doctor of Pharmacy, The TamilNadu Dr MGR University (2024) and Bachelor of Pharmacy, The TamilNadu Dr MGR University (2020). AI-training focus includes data types such as Text and Image and labeling workflows including RLHF and Classification.

Labeling Experience

Senior Associate SME (LLM Data Annotation and RLHF)

OtherTextRLHF

As Senior Associate SME at Innodata, I fine-tuned frontier Large Language Models (LLMs) by creating complex multi-step Biology prompts and solutions. I led the development of evaluation benchmarks and executed detailed RLHF (Reinforcement Learning from Human Feedback) annotations to refine model performance and accuracy in technical domains. My efforts focused on reducing hallucinations and aligning AI outputs with PhD-level biological standards. • Authored Chain-of-Thought (CoT) multi-step reasoning pathways for biology-related tasks. • Provided technical and RLHF annotations to optimize model outputs. • Designed and implemented benchmarks to probe LLM model limitations. • Worked primarily with Qwen, ChatGPT, Gemini, and DeepSeek models.

As Senior Associate SME at Innodata, I fine-tuned frontier Large Language Models (LLMs) by creating complex multi-step Biology prompts and solutions. I led the development of evaluation benchmarks and executed detailed RLHF (Reinforcement Learning from Human Feedback) annotations to refine model performance and accuracy in technical domains. My efforts focused on reducing hallucinations and aligning AI outputs with PhD-level biological standards. • Authored Chain-of-Thought (CoT) multi-step reasoning pathways for biology-related tasks. • Provided technical and RLHF annotations to optimize model outputs. • Designed and implemented benchmarks to probe LLM model limitations. • Worked primarily with Qwen, ChatGPT, Gemini, and DeepSeek models.

2026 - Present

2D Annotation Expert (Image & Text Labeling)

RemotasksImageClassification

As a 2D Annotation Expert at Remotasks, I performed precise image and text annotations for Computer Vision and NLP training datasets. I focused on developing high-complexity Chain-of-Thought (CoT) reasoning pathways to enable better multi-step logical performance in AI models. I consistently maintained rigorous quality benchmarks and domain accuracy standards for data labeling deliverables. • Labeled images using advanced annotation tools for computer vision tasks. • Created and validated text annotations for NLP workflows. • Ensured strict quality control and dataset standardization. • Specialized in STEM-related annotation and reasoning challenges.

As a 2D Annotation Expert at Remotasks, I performed precise image and text annotations for Computer Vision and NLP training datasets. I focused on developing high-complexity Chain-of-Thought (CoT) reasoning pathways to enable better multi-step logical performance in AI models. I consistently maintained rigorous quality benchmarks and domain accuracy standards for data labeling deliverables. • Labeled images using advanced annotation tools for computer vision tasks. • Created and validated text annotations for NLP workflows. • Ensured strict quality control and dataset standardization. • Specialized in STEM-related annotation and reasoning challenges.

2023 - 2024

Education

Work History