Mujaheed O.

Key Skills

Software

Other

CrowdFlower

Clickworker

Axiom AI

AWS SageMaker

Appen

Anno-Mage

Argilla

Dataturk

Datature

Datasaur

Datumbox

Datatroniq

Dataloop

CVAT

Data Annotation Tech

CrowdSource

iMerit

Img Lab

Humanatic

HiveMind

Top Subject Matter

Computer vision

multimodal AI data annotation

LLM/GenAI evaluation and rating

Top Data Types

Video

Text

Image

Document

Top Task Types

Data Collection

Prompt + Response Writing (SFT)

Object Detection

Text Generation

Cuboid

Question Answering

Text Summarization

RLHF

Fine-tuning

Red Teaming

Polyline

Point/Key Point

Entity (NER) Classification

Segmentation

Classification

Polygon

Transcription

Bounding Box

Evaluation/Rating

Function Calling

Freelancer Overview

Video Annotation Specialist — Atlas Capture (2025 to Present). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Certified Web3 Expert, Blockchain Council and Hugging Face LLM Course, Hugging Face (2026). AI-training focus includes data types such as Video and Text and labeling workflows including Data Collection, Evaluation, and Rating.

Labeling Experience

Video Annotation Specialist — Atlas Capture (2025 to Present)

OtherVideoData Collection

Labeled complex first-person POV video footage to support training of computer vision and multimodal AI models. Maintained high accuracy and detailed annotation standards by following certification and project labeling rules. Focused on ensuring the AI learns spatial intelligence across varied environments and tasks. • Annotated first-person video inputs for multimodal training datasets • Followed detailed labeling rules and quality requirements • Applied Atomic Label Certification standards to reduce annotation errors • Prepared data to improve spatial understanding for AI models

2025 - Present

Prompt Engineer and LLM Evaluator — Alignerr (2022 to Present)

OtherTextPrompt + Response Writing (SFT)

Created, tested, and improved advanced prompts to elicit high-quality responses from large language models. Evaluated model outputs to assess instruction-following, contextual coherence, tool usage, and tone. Provided detailed feedback intended to feed into RLHF training pipelines for model improvement. • Built and refined prompts for complex reasoning tasks • Assessed responses for instruction adherence and contextual sense • Reviewed outputs for correct use of AI tools and appropriate tone • Supplied granular feedback to RLHF training workflows

2022 - Present

AI Evaluation Specialist (2021 to Present)

OtherText

Reviewed AI-generated outputs for quality, factual accuracy, safety, and relevance using structured evaluation frameworks. Performed categorization, validation, content review, and relevance rating for large language models and generative AI applications. Contributed to model alignment and safety rule following for major global AI projects. • Evaluated outputs for factual accuracy and safety compliance • Performed categorization and relevance rating for GenAI responses • Validated content quality and contextual appropriateness • Supported model alignment and improvement via feedback

2021 - Present

Linguistic Data Contributor — Shaip (2021 to 2024)

OtherVideoData Collection

Set up and recorded high-quality first-person video data to support multimodal AI training. Completed audio recording, native transcription, and data collection tasks according to project rules and quality requirements. Ensured the captured media matched the specification needs for training datasets. • Recorded 1080p/30fps first-person household task video data • Captured associated audio and performed native transcription tasks • Collected dataset media exactly per project instructions • Supported multimodal training data generation

2021 - 2024

Education

Work History