For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
M
Muenot Technologies

Muenot Technologies

Agency
India flagJaipur, India
www.muenot.com
$25.00/hrExpert183+ISO 27001GDPR

Key Skills

Software

TelusTelus
OneFormaOneForma
AppenAppen
LabelboxLabelbox
Surge AISurge AI
SamaSama
Data Annotation TechData Annotation Tech
MercorMercor
MindriftMindrift
CVATCVAT

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
VideoVideo
ImageImage

Top Task Types

RLHFRLHF
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Computer Programming/CodingComputer Programming/Coding
Question AnsweringQuestion Answering
Evaluation/RatingEvaluation/Rating

Company Overview

Company Overview – Muenot Muenot is a global provider of AI data services, e-learning solutions, technology development, localization, and publishing services, helping organizations accelerate digital transformation and scale with precision. Mission To empower businesses worldwide with high-quality data, scalable digital solutions, and intelligent content services that drive innovation, efficiency, and measurable growth. Core Services AI Data Services: Data annotation, curation, model training, RLHF, and AI evaluation E-Learning Solutions: Content development, instructional design, LMS integration, multimedia production Technology Services: Custom software, SaaS platforms, cloud solutions, automation, and IT consulting Localization Services: Translation, transcription, subtitling, voice-over, and multilingual adaptation Publishing Services: Editorial, accessibility, conversion, and digital publishing support Unique Capabilities & Tools Human-in-the-loop (HITL) workflows ensuring high accuracy and quality control AI-focused services including LLM training, prompt engineering, and evaluation End-to-end content lifecycle management (creation → production → delivery) Data-driven analytics and performance optimization frameworks Industries Served Muenot delivers specialized solutions across multiple industries, including: Technology & SaaS Education & EdTech Healthcare & Life Sciences Banking, Finance & Insurance Media, Publishing & Entertainment Manufacturing & Enterprise sectors Global Presence & Locations Headquarters: Jaipur, Rajasthan, India Additional presence in multiple locations across India Serving clients across 10+ countries and global markets Company Background Founded: 2020 Company Type: Privately held Workforce: 50–200 professionals Built with a strong focus on process-driven delivery, scalability, and governance frameworks Quality, Security & Compliance Enterprise-grade delivery with 99%+ accuracy benchmarks Emphasis on data security, compliance, and confidentiality standards Structured workflows ensuring consistency across large-scale projects Key Achievements Delivered 10M+ data points for AI training and analytics Supported multi-language solutions across 30+ languages Achieved 99.5%–99.9% accuracy levels in AI and content services Successfully executed global-scale projects in AI, e-learning, and localization Clients & Partnerships Muenot partners with global enterprises, EdTech firms, publishers, and technology companies, supporting large-scale digital initiatives and long-term transformation programs. What Sets Muenot Apart End-to-end integrated service model Strong blend of AI + human expertise High scalability for bulk and enterprise projects Focus on quality, speed, and cost-efficiency Long-term partnership approach with measurable outcomes

ExpertEnglishHindi

Security

Security Overview

Muenot follows a strict data security and privacy framework aligned with industry best practices. All employees operate under signed NDAs and confidentiality agreements. Access to client data is role-based and restricted using secure authentication protocols. Data is processed in controlled environments with no unauthorized external storage or data transfer allowed. We implement secure infrastructure with encrypted data handling (in transit and at rest), regular access monitoring, and audit logs. Workstations are monitored and restricted to prevent data leakage, including disabled external storage devices and controlled internet access where required. Our delivery model follows a human-in-the-loop approach with multi-level quality checks while maintaining strict data isolation. We ensure compliance with client-specific security guidelines, including GDPR-aligned data handling practices. Regular internal audits, team training, and process reviews are conducted to maintain high standards of data protection, confidentiality, and operational security.

Security Credentials

ISO 27001GDPR

Labeling Experience

CVAT

Medical Imaging Annotation (DICOM) for AI-Based Diagnostics & Computer Vision Models

CVATMedical DicomBounding BoxSegmentation
Delivered medical image annotation projects on DICOM datasets including CT, MRI, and X-ray images for AI-based diagnostic model training. Tasks included organ and lesion segmentation, bounding box annotation, and classification based on clinical guidelines. Projects were executed with trained annotators working under structured protocols and reviewed by domain experts to ensure high-quality outputs. Multi-level QA processes were implemented to maintain accuracy levels of 98%+ while handling sensitive medical data. Tools such as ITK-SNAP, 3D Slicer, and CVAT were used for precise annotation, including 2D and 3D workflows where required. All projects followed strict data privacy and security measures, including restricted access, anonymized datasets, and NDA compliance.

Delivered medical image annotation projects on DICOM datasets including CT, MRI, and X-ray images for AI-based diagnostic model training. Tasks included organ and lesion segmentation, bounding box annotation, and classification based on clinical guidelines. Projects were executed with trained annotators working under structured protocols and reviewed by domain experts to ensure high-quality outputs. Multi-level QA processes were implemented to maintain accuracy levels of 98%+ while handling sensitive medical data. Tools such as ITK-SNAP, 3D Slicer, and CVAT were used for precise annotation, including 2D and 3D workflows where required. All projects followed strict data privacy and security measures, including restricted access, anonymized datasets, and NDA compliance.

2025 - 2026
Mercor

Text Data Labeling & Annotation Specialist

MercorTextSegmentationClassification
Worked on large-scale text data annotation projects involving high-quality labeling, classification, and validation. Handled diverse datasets, followed strict annotation guidelines, and ensured consistency across all outputs. Performed qualit

Worked on large-scale text data annotation projects involving high-quality labeling, classification, and validation. Handled diverse datasets, followed strict annotation guidelines, and ensured consistency across all outputs. Performed qualit

2025 - 2025
Labelbox

Image Data Labeling & Annotation Specialist

LabelboxImageSegmentationClassification
Worked on large-scale image data annotation projects involving high-quality labeling, classification, and validation. Handled diverse datasets, followed strict annotation guidelines, and ensured consistency across all outputs. Performed quality checks and peer reviews to maintain high accuracy and reliability for AI model training.

Worked on large-scale image data annotation projects involving high-quality labeling, classification, and validation. Handled diverse datasets, followed strict annotation guidelines, and ensured consistency across all outputs. Performed quality checks and peer reviews to maintain high accuracy and reliability for AI model training.

2025 - 2025
OneForma

Large-Scale Audio Transcription & Speech Data Annotation for ASR/NLP Models

OneformaAudioClassification
Worked on large-scale audio data annotation projects involving high-quality labeling, classification, and validation. Handled diverse datasets, followed strict annotation guidelines, and ensured consistency across all outputs. Performed quality checks and peer reviews to maintain high accuracy and reliability for AI model training.

Worked on large-scale audio data annotation projects involving high-quality labeling, classification, and validation. Handled diverse datasets, followed strict annotation guidelines, and ensured consistency across all outputs. Performed quality checks and peer reviews to maintain high accuracy and reliability for AI model training.

2024 - 2025
Labelbox

Video Data Labeling & Annotation Specialist

LabelboxVideoSegmentationClassification
Worked on large-scale video data annotation projects involving high-quality labeling, classification, and validation. Handled diverse datasets, followed strict annotation guidelines, and ensured consistency across all outputs. Performed quality checks and peer reviews to maintain high accuracy and reliability for AI model training.

Worked on large-scale video data annotation projects involving high-quality labeling, classification, and validation. Handled diverse datasets, followed strict annotation guidelines, and ensured consistency across all outputs. Performed quality checks and peer reviews to maintain high accuracy and reliability for AI model training.

2024 - 2025