Anila R

Key Skills

Software

Remotasks

Top Subject Matter

AI evaluation and data annotation

Code Evaluation and Rating

Top Data Types

Image

Computer Code Programming

Text

Top Task Types

Classification

Bounding Box

Evaluation/Rating

Object Detection

Freelancer Overview

Code Evaluation, Rating & Data Annotation Specialist for AI Training Projects (Remotasks). Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks, where I worked on LLM-based evaluation tasks, assessing AI-generated responses for accuracy, reasoning and structure. AI-training focus includes data types such as Image and labeling workflows including Classification, code evaluation, rating, image annotation, text annotation.

Labeling Experience

Code Evaluation & Data Annotation Specialist for AI Training Projects (Remotasks)

RemotasksImageClassification

As an Code Evaluation & AI Training Projects Data Annotation Specialist on Remotasks, I worked on evaluating code generated for a prompt and choosing the correct response. I also worked on annotation projects - image, video, and text data to enhance machine learning models. My responsibilities included assessing AI-generated responses for accuracy, reviewing code outputs, and providing detailed feedback for continual improvement. I strictly followed project guidelines to maintain consistency and meet required accuracy levels. • Annotated multi-modal data including images, videos, and text. • Evaluated AI-generated text and code outputs for logic and correctness. • Selected optimal code solutions based on accuracy, reasoning, and structure. • Maintained high accuracy across diverse project types.

As an Code Evaluation & AI Training Projects Data Annotation Specialist on Remotasks, I worked on evaluating code generated for a prompt and choosing the correct response. I also worked on annotation projects - image, video, and text data to enhance machine learning models. My responsibilities included assessing AI-generated responses for accuracy, reviewing code outputs, and providing detailed feedback for continual improvement. I strictly followed project guidelines to maintain consistency and meet required accuracy levels. • Annotated multi-modal data including images, videos, and text. • Evaluated AI-generated text and code outputs for logic and correctness. • Selected optimal code solutions based on accuracy, reasoning, and structure. • Maintained high accuracy across diverse project types.

2023 - 2024

Education

Work History