Mohit Nekhar

Key Skills

Software

Appen

Scale AI

OneForma

Mindrift

Clickworker

Data Annotation Tech

iMerit

Labelbox

Mercor

Micro1

Remotasks

Toloka

Telus

Datature

Top Subject Matter

AI/LLM Coding Evaluation

LLM Chat Model Evaluation/RLHF

Prompt Engineering & Multi-turn Conversation Auditing

Top Data Types

Text

Computer Code Programming

Image

Top Task Types

RLHF

Classification

Object Detection

Text Generation

Text Summarization

Evaluation/Rating

Computer Programming/Coding

Transcription

Prompt + Response Writing (SFT)

Freelancer Overview

Lead AI Trainer | Labelbox / Outlier / Appen. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox and Appen. Education includes Bachelor of Technology, Shri Ram Institute of Technology (2024). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

Lead AI Trainer | Labelbox / Outlier / Appen

Labelbox

As Lead AI Trainer, I conducted technical evaluations of model-generated code using Labelbox and other platforms. I ensured correctness, security, and accuracy by reviewing more than 500 code samples, especially in Python and data science libraries. I provided detailed rationales and flagged hallucinations or technical errors to support LLM development. • Evaluated Agentic Coding tasks primarily for Python and data science domains. • Provided structured, evidence-based rationales exceeding 200 characters per case. • Identified security issues and subtle hallucinations in code and model responses. • Ensured compliance with strict SOPs and high-quality auditing standards.

As Lead AI Trainer, I conducted technical evaluations of model-generated code using Labelbox and other platforms. I ensured correctness, security, and accuracy by reviewing more than 500 code samples, especially in Python and data science libraries. I provided detailed rationales and flagged hallucinations or technical errors to support LLM development. • Evaluated Agentic Coding tasks primarily for Python and data science domains. • Provided structured, evidence-based rationales exceeding 200 characters per case. • Identified security issues and subtle hallucinations in code and model responses. • Ensured compliance with strict SOPs and high-quality auditing standards.

2024 - Present

AI Evaluation Specialist | Freelance/Independent

AppenTextRLHF

As an AI Evaluation Specialist, I participated in RLHF projects with an emphasis on multi-turn dialogue and instruction following. I assessed model responses for truthfulness and helpfulness using documented guidelines and advanced search techniques. I verified claims and contributed to the overall reliability of LLM outputs. • Specialized in reinforcement learning via human feedback for model fine-tuning. • Used search tools and internal documentation for claim verification. • Focused on multi-turn conversational evaluations for both truthfulness and helpfulness. • Generated structured feedback to guide ongoing LLM improvements.

As an AI Evaluation Specialist, I participated in RLHF projects with an emphasis on multi-turn dialogue and instruction following. I assessed model responses for truthfulness and helpfulness using documented guidelines and advanced search techniques. I verified claims and contributed to the overall reliability of LLM outputs. • Specialized in reinforcement learning via human feedback for model fine-tuning. • Used search tools and internal documentation for claim verification. • Focused on multi-turn conversational evaluations for both truthfulness and helpfulness. • Generated structured feedback to guide ongoing LLM improvements.

2023 - Present

Education

Work History