Akansha C.

Key Skills

Software

Label Studio

CVAT

Labelbox

Top Subject Matter

Large Language Models

Content Safety

Hallucination Detection

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Bounding Box

Freelancer Overview

AI Data Evaluator | Turing Inc: Deployed to Google Gemini. Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Label Studio. Education includes Bachelor of Journalism and Mass Communication, GGSIPU (2019) and Certificate in Young Leaders Program, Global Governance Initiative (2024). AI-training focus includes data types such as Text and Image and labeling workflows including RLHF and Bounding Box.

Labeling Experience

AI Data Evaluator | Turing Inc: Deployed to Google Gemini

TextRLHF

As an AI Data Evaluator for Turing Inc. deployed to Google Gemini, I delivered RLHF preference rankings and systematic QA across LLM outputs. My responsibilities included hallucination and error detection, classification tasks, and SFT dataset validation for high-stakes domains. I performed gold standard QA and flagged content safety violations across a variety of sensitive subject areas. • Delivered 500+ RLHF preference rankings per week using structured multi-criteria rubrics • Detected and classified hallucinations, factual errors, confabulations, and bias • Conducted QA validation to ensure annotation consistency and reliability • Ensured adherence to safe messaging and flagged harmful or biased content

2024 - 2025

Multimodal Annotation Specialist | Spectrum Consultants (Nvidia NeMo)

Label StudioImageBounding Box

I performed multimodal annotation work for Nvidia NeMo, focusing on LiDAR point cloud data and 3D bounding box labeling for autonomous vehicle projects. My tasks involved precise object localization and safety review in complex data environments. I collaborated with a team to maintain annotation standards and accuracy. • Labeled 1,000+ LiDAR and image samples with 3D bounding boxes • Ensured safety-critical annotation quality in autonomous systems datasets • Used structured evaluation rubrics and performed recurring QA testing • Enhanced inter-annotator agreement and response to guideline updates

2023 - 2024

AI Data Evaluator & RLHF Annotator | Spectrum Consultants: Deployed to Nvidia NeMo

Label StudioTextRLHF

At Spectrum Consultants for Nvidia NeMo, I executed RLHF-style preference ranking and SFT dataset validation for LLM pipeline fine-tuning. Beyond text, I annotated multimodal samples including 3D bounding boxes for LiDAR data and performed QA across thousands of annotated instances. My role included team lead duties, rubric development, and calibration session management to improve evaluator consistency. • Conducted RLHF and SFT annotation for text and multimodal data • Specialized in LiDAR point cloud annotation (3D bounding box) for autonomous systems • Led QA calibration, rubric design, and addressed guideline revisions • Classified annotation errors and improved dataset quality

2023 - 2024

Education

Work History