Ananya Srivastava

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Evaluation Rating

RLHF

Classification

Freelancer Overview

I have hands-on experience working in AI data annotation and training support, where I focused on accurately labeling and reviewing datasets while maintaining high quality scores and consistency. I’ve worked with structured guidelines, handled edge cases, and ensured attention to detail across tasks, which strengthened my analytical thinking and ability to follow complex instructions. Alongside this, my technical background as a MERN stack developer and computer science student helps me understand data workflows, system logic, and model training contexts beyond surface-level labeling. I’m reliable, detail-oriented, and genuinely interested in contributing to high-quality datasets that improve AI performance.

Labeling Experience

Data Annotator | LLM Evaluation, Prompt Engineering, AI Training

Scale AITextEvaluation Rating

As a data annotator at Outlier AI, I annotated and evaluated LLM outputs for multiple domains. I focused on assessing factual accuracy, coherence, and reasoning ability in model responses through structured workflows. I refined prompts and provided comparative feedback for model improvement. • Evaluated large language model outputs for quality control. • Designed and improved prompts for better model alignment. • Performed structured analysis and comparison of AI-generated responses. • Delivered detailed feedback to improve accuracy and safety.

As a data annotator at Outlier AI, I annotated and evaluated LLM outputs for multiple domains. I focused on assessing factual accuracy, coherence, and reasoning ability in model responses through structured workflows. I refined prompts and provided comparative feedback for model improvement. • Evaluated large language model outputs for quality control. • Designed and improved prompts for better model alignment. • Performed structured analysis and comparison of AI-generated responses. • Delivered detailed feedback to improve accuracy and safety.

2025

Data Annotator | Data Labeling, Quality Review

Scale AITextClassification

At Alignerr, I labeled and structured datasets for a variety of AI tasks. My responsibilities included quality review and ensuring consistency in annotations to maximize dataset reliability. I worked collaboratively with AI teams to support model evaluation. • Labeled and structured text datasets for classification and ranking. • Reviewed annotated data for consistency and quality standards. • Contributed to reliable datasets for model development. • Collaborated to improve labeling and evaluation processes.

At Alignerr, I labeled and structured datasets for a variety of AI tasks. My responsibilities included quality review and ensuring consistency in annotations to maximize dataset reliability. I worked collaboratively with AI teams to support model evaluation. • Labeled and structured text datasets for classification and ranking. • Reviewed annotated data for consistency and quality standards. • Contributed to reliable datasets for model development. • Collaborated to improve labeling and evaluation processes.

2025 - 2025

AI Data Annotator | Model Evaluation, Safety Review, RLHF

Scale AITextRLHF

At xAI, I contributed to the training and fine-tuning of LLMs with structured annotation and grading. My tasks included response evaluation, bias detection, policy compliance checking, and quality assurance in alignment workflows. I supported RLHF by ranking model outputs and improving model alignment. • Supported reinforcement learning from human feedback pipelines. • Graded LLM outputs for factual correctness and policy alignment. • Conducted detailed bias detection and reasoning quality checks. • Provided structured feedback and rankings for fine-tuning.

At xAI, I contributed to the training and fine-tuning of LLMs with structured annotation and grading. My tasks included response evaluation, bias detection, policy compliance checking, and quality assurance in alignment workflows. I supported RLHF by ranking model outputs and improving model alignment. • Supported reinforcement learning from human feedback pipelines. • Graded LLM outputs for factual correctness and policy alignment. • Conducted detailed bias detection and reasoning quality checks. • Provided structured feedback and rankings for fine-tuning.

2025 - 2025

Education

Work History