Tariq Ibrahim K

Key Skills

Software

CVAT

Other

iMerit

CrowdSource

Labelbox

LabelImg

Micro1

Top Subject Matter

Sports Analytics

Autonomous Vehicles

Adas Domain Expertise

Top Data Types

Image

Text

Audio

Document

Top Task Types

Bounding Box

Classification

Transcription

Polygon

Segmentation

Entity (NER) Classification

Cuboid

Object Detection

Text Generation

Question Answering

RLHF

Evaluation/Rating

Freelancer Overview

Result-driven Annotation Project Coordinator with a unique dual-expertise in traditional Computer Vision and advanced Generative AI evaluation. Over 6 years, I have scaled data operations across Autonomous Vehicles, Sports Analytics, and Architecture. My current focus at DeccanAI and Innodata involves sophisticated RLHF and Multimodal side-by-side evaluations, specifically auditing model truthfulness, groundedness, content consistency, relevance, and instruction following. A "quality-first" leader proficient in CVAT, Labelbox, Superannotate, etc. I excel at managing high-stakes delivery pipelines and conducting adversarial "Challenge AI" sessions to identify model failure points before deployment.

Labeling Experience

AI Image Rater and Annotator

ImeritImage

Carried out complex side-by-side evaluations of AI-generated images for artifact reduction, prompt adherence, and rendering quality enhancements. Provided model quality assurance and executed justification writeups for model output evaluations. Drove continuous RLHF refinement via rigorous evaluation methodologies. • Applied generic rubrics for annotation quality checks • Assessed adherence to prompt fidelity and artifact minimization • Collaborated with image model QA teams • Led refinement of RLHF vision pipelines

Carried out complex side-by-side evaluations of AI-generated images for artifact reduction, prompt adherence, and rendering quality enhancements. Provided model quality assurance and executed justification writeups for model output evaluations. Drove continuous RLHF refinement via rigorous evaluation methodologies. • Applied generic rubrics for annotation quality checks • Assessed adherence to prompt fidelity and artifact minimization • Collaborated with image model QA teams • Led refinement of RLHF vision pipelines

2026 - Present

AI Model Evaluator (RLHF/LLM)

OtherText

Performed sophisticated RLHF and multimodal side-by-side evaluations for model auditing and quality assurance. Rated model outputs for truthfulness, content consistency, relevance, and ability to follow instructions. Generated detailed technical feedback to inform model improvements and alignment. • Implemented adversarial evaluation scenarios • Assessed live contextual grounding and hallucination prevention • Documented model generation ratings and justifications • Focused on writing style, code quality, and task accuracy

Performed sophisticated RLHF and multimodal side-by-side evaluations for model auditing and quality assurance. Rated model outputs for truthfulness, content consistency, relevance, and ability to follow instructions. Generated detailed technical feedback to inform model improvements and alignment. • Implemented adversarial evaluation scenarios • Assessed live contextual grounding and hallucination prevention • Documented model generation ratings and justifications • Focused on writing style, code quality, and task accuracy

2026 - Present

Data Annotator

OtherAudio

Executed high-complexity multimodal RLHF evaluations for audio and image outputs by rating naturalness, tonal accuracy, and rendering quality. Performed detailed annotation of image manipulation and audio transcription to enhance NLP and CV datasets. Designed complex prompts for 'Challenge AI' reasoning to identify model weaknesses. • Conducted side-by-side audio/image evaluation • Audited object manipulations in image models • Performed advanced bounding box annotation and transcription • Developed adversarial prompts for evaluation purposes

Executed high-complexity multimodal RLHF evaluations for audio and image outputs by rating naturalness, tonal accuracy, and rendering quality. Performed detailed annotation of image manipulation and audio transcription to enhance NLP and CV datasets. Designed complex prompts for 'Challenge AI' reasoning to identify model weaknesses. • Conducted side-by-side audio/image evaluation • Audited object manipulations in image models • Performed advanced bounding box annotation and transcription • Developed adversarial prompts for evaluation purposes

2025 - Present

Freelance Data Annotator & Transcriptionist

OtherAudioTranscription

Delivered high-volume audio transcription and video annotation tasks focused on human action labeling and sentiment analysis. Performed sports event tagging, time correction, and classification to enhance football analytics datasets. Executed transcription and audio quality reviews to improve model accuracy and training data. • Annotated and reviewed audio for NLP projects • Labeled football events for live analytics and VAR assistance • Conducted detailed sentiment and tone classification • Ensured high-fidelity data production for client projects

Delivered high-volume audio transcription and video annotation tasks focused on human action labeling and sentiment analysis. Performed sports event tagging, time correction, and classification to enhance football analytics datasets. Executed transcription and audio quality reviews to improve model accuracy and training data. • Annotated and reviewed audio for NLP projects • Labeled football events for live analytics and VAR assistance • Conducted detailed sentiment and tone classification • Ensured high-fidelity data production for client projects

2023 - Present

Annoatation Project Coordinator

OtherImageClassification

Managed cross-format annotation projects involving images, video, and text data for international clients. Implemented accuracy-driven controls and corrective processes for annotation workflow and client communications. Maintained high-precision outputs aligned with complex technical and business standards. • Oversaw data labeling progress monitoring and QA • Coordinated global client annotation pipelines • Facilitated continuous annotation upskilling for team • Focused on annotation consistency and error reduction

Managed cross-format annotation projects involving images, video, and text data for international clients. Implemented accuracy-driven controls and corrective processes for annotation workflow and client communications. Maintained high-precision outputs aligned with complex technical and business standards. • Oversaw data labeling progress monitoring and QA • Coordinated global client annotation pipelines • Facilitated continuous annotation upskilling for team • Focused on annotation consistency and error reduction

2024 - 2025

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Education

Work History