Nayab Rasool Syed

Key Skills

Software

CrowdSource

Data Annotation Tech

OneForma

Remotasks

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Image

Text

Top Label Types

Bounding Box

Evaluation Rating

RLHF

Segmentation

Text Summarization

Transcription

Freelancer Overview

I am an AI Data Evaluator and Annotation Specialist with hands-on experience across text, image, and audio AI training tasks. My work includes data annotation, AI output evaluation, search relevance rating, transcription, and guideline-based quality review for machine learning datasets. I have contributed to multiple AI training workflows, including image annotation (object identification, bounding boxes for object detection), text summarization, RLHF-style evaluation, and multilingual content review. I am comfortable working with different annotation tools and adapting quickly to new platforms and project requirements. I am detail-oriented, consistent, and reliable, with a strong track record of meeting accuracy targets, productivity benchmarks, and deadlines in remote, globally distributed AI projects.

Labeling Experience

AI Data Annotation & Evaluation for LLM and Search Quality Tasks

CrowdsourceTextSegmentationText Summarization

Worked on multiple AI training and evaluation projects involving text and audio data. Tasks included evaluating AI-generated responses based on accuracy, relevance, and task completion, rating search results for user intent satisfaction, and performing audio transcription following strict style guides. Responsible for comparing multiple AI responses, identifying factual errors, summarizing content, and tagging quality issues. Followed detailed project guidelines including E-E-A-T principles, needs-met ratings, and consistency rules. Maintained high accuracy and consistency scores during qualifying and production tasks. Handled confidential datasets and adhered to quality assurance processes, including self-review and correction based on feedback.

Worked on multiple AI training and evaluation projects involving text and audio data. Tasks included evaluating AI-generated responses based on accuracy, relevance, and task completion, rating search results for user intent satisfaction, and performing audio transcription following strict style guides. Responsible for comparing multiple AI responses, identifying factual errors, summarizing content, and tagging quality issues. Followed detailed project guidelines including E-E-A-T principles, needs-met ratings, and consistency rules. Maintained high accuracy and consistency scores during qualifying and production tasks. Handled confidential datasets and adhered to quality assurance processes, including self-review and correction based on feedback.

2023

AI Data Annotation & Evaluation for LLM and Search Quality Tasks

Data Annotation TechAudioBounding BoxText Summarization

Worked on AI training projects involving audio and text data for conversational AI and search quality systems. Tasks included listening to recorded calls and speech samples, transcribing audio accurately, and evaluating content based on predefined quality guidelines. Performed quality checks on transcriptions, corrected grammar and punctuation, and ensured proper speaker labeling and formatting as per style guides. Also evaluated AI-generated and human transcripts for accuracy, relevance, and completeness. Followed strict project instructions, confidentiality requirements, and quality benchmarks during both qualification and production phases. Maintained consistent performance under time-based targets and incorporated feedback to improve accuracy and consistency.

Worked on AI training projects involving audio and text data for conversational AI and search quality systems. Tasks included listening to recorded calls and speech samples, transcribing audio accurately, and evaluating content based on predefined quality guidelines. Performed quality checks on transcriptions, corrected grammar and punctuation, and ensured proper speaker labeling and formatting as per style guides. Also evaluated AI-generated and human transcripts for accuracy, relevance, and completeness. Followed strict project instructions, confidentiality requirements, and quality benchmarks during both qualification and production phases. Maintained consistent performance under time-based targets and incorporated feedback to improve accuracy and consistency.

2024 - 2024

Education

Work History