Fathima Rayyan C A

Key Skills

Software

iMerit

Other

CVAT

CrowdSource

Labelbox

LabelImg

Micro1

SuperAnnotate

Top Subject Matter

Generative AI Evaluation

Audio-Image Multimodal AI

AI Image Generation

Top Data Types

Image

Text

Audio

Top Task Types

RLHF

Classification

Bounding Box

Polygon

Segmentation

Entity (NER) Classification

Point/Key Point

Polyline

Cuboid

Object Detection

Fine-tuning

Evaluation/Rating

Prompt + Response Writing (SFT)

Freelancer Overview

A detail-oriented Data Annotation Specialist with a strong foundation in B.Sc. Psychology, specializing in Organizational Behavior. Currently contributing to high-stakes RLHF and Multimodal AI evaluation at Innodata and Merit Scholar, I excel in auditing complex image and audio models for spatial logic and tonal accuracy. By blending psychological research methodology with technical precision, maintaining a 98% accuracy rate in data labeling, I provide the high-quality human feedback necessary to refine next-generation generative AI models.

Labeling Experience

AI Image rater and Annotator, iMerit Scholer

ImeritImage

As an AI Image rater and Annotator at iMerit Scholer, I carried out complex side-by-side evaluations of AI-generated images to assess model performance. I consistently upheld high-accuracy standards while adapting to evolving guidelines in a collaborative, managed team environment. I contributed to refining RLHF pipelines for generative AI datasets. • Executed side-by-side evaluations of AI-generated images • Assessed outputs based on artifact reduction, prompt fidelity, and quality • Maintained quality assurance in a managed online workspace • Helped drive standards for generative AI evaluation datasets

As an AI Image rater and Annotator at iMerit Scholer, I carried out complex side-by-side evaluations of AI-generated images to assess model performance. I consistently upheld high-accuracy standards while adapting to evolving guidelines in a collaborative, managed team environment. I contributed to refining RLHF pipelines for generative AI datasets. • Executed side-by-side evaluations of AI-generated images • Assessed outputs based on artifact reduction, prompt fidelity, and quality • Maintained quality assurance in a managed online workspace • Helped drive standards for generative AI evaluation datasets

2026 - Present

Data Annotator, Innodata

ImageRLHF

As a Data Annotator at Innodata, I performed multimodal RLHF evaluations focusing on side-by-side analysis of AI-generated audio and images. I audited model outputs for spatial logic, tonal accuracy, artifacts, and rendering quality to ensure the refinement of generative models. I executed bounding box annotations for object detection and designed high-complexity prompts for vision language reasoning. • Conducted SxS comparative analysis of audio and image outputs • Audited image editing models for object manipulation and restoration logic • Performed bounding box annotation for training computer vision models • Crafted complex prompts to identify failure points in AI models

As a Data Annotator at Innodata, I performed multimodal RLHF evaluations focusing on side-by-side analysis of AI-generated audio and images. I audited model outputs for spatial logic, tonal accuracy, artifacts, and rendering quality to ensure the refinement of generative models. I executed bounding box annotations for object detection and designed high-complexity prompts for vision language reasoning. • Conducted SxS comparative analysis of audio and image outputs • Audited image editing models for object manipulation and restoration logic • Performed bounding box annotation for training computer vision models • Crafted complex prompts to identify failure points in AI models

2025 - Present

Freelance Data & Content Specialist

OtherImageClassification

As a Freelance Data & Content Specialist, I performed image labeling and data annotation for machine learning projects, consistently delivering high-accuracy results. I also transcribed audio files and proofread documents as part of various task-based annotation projects. Quality assurance protocols were used to ensure annotated data was complete and meeting project standards. • Labeled images for ML model development • Transcribed audio files into written text accurately • Proofread and edited documents for accuracy • Reviewed annotated datasets for quality and completeness

As a Freelance Data & Content Specialist, I performed image labeling and data annotation for machine learning projects, consistently delivering high-accuracy results. I also transcribed audio files and proofread documents as part of various task-based annotation projects. Quality assurance protocols were used to ensure annotated data was complete and meeting project standards. • Labeled images for ML model development • Transcribed audio files into written text accurately • Proofread and edited documents for accuracy • Reviewed annotated datasets for quality and completeness

2024 - 2024

Education

Work History