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Tech and brain

Tech and brain

Agency
NIGERIA flag
Ibadan, Nigeria
modernremotejobs.com/
$70.00/hrExpert885+

Key Skills

Software

AppenAppen
ArgillaArgilla
ClickworkerClickworker
CrowdSourceCrowdSource
Data Annotation TechData Annotation Tech
OneFormaOneForma
Scale AIScale AI

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
ImageImage
VideoVideo

Top Label Types

Action Recognition
Audio Recording
Classification
Evaluation Rating
Prompt Response Writing SFT

Company Overview

ModernRemoteJobs is a structured AI workforce development and deployment organization supporting global AI platforms and enterprise data ecosystems. Our mission is to build a globally distributed, compliance-aligned workforce that delivers measurable accuracy while advancing responsible artificial intelligence. We recruit, screen, train, certify, and manage high-performing contributors across the United States, United Kingdom, Canada, Europe, Africa, and Asia-Pacific. Our services include Large Language Model (LLM) training, Reinforcement Learning from Human Feedback (RLHF), prompt evaluation and response grading, search relevance evaluation, data annotation (text, image, video), AI content moderation, and speech, audio, and video transcription. Our unique model combines multi-layer screening, platform-style simulation training, performance certification, KPI-based monitoring, and continuous quality audits. We operate under a zero-tolerance policy for low-quality output, with underperforming contributors permanently removed to protect client integrity. We enforce NDAs, structured compliance documentation, secure workflows, and data protection protocols. With a growing network of certified global contributors and structured operational oversight, we serve AI organizations requiring scalable, performance-monitored talent infrastructure.

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Security

Security Overview

Security & Privacy Overview 1. Physical Security & Facility Management Our company maintains a multi-layered physical security posture to ensure project environments remain secure. In our centralized offices, we employ 24/7 CCTV surveillance and biometric access control for all entry points and server rooms. For our remote workforce, we mandate a "Secure Home Office" protocol, requiring private workspaces and prohibiting the use of public Wi-Fi. All company-issued hardware is equipped with physical locks and remote-wipe capabilities. 2. Cybersecurity & Network Integrity We implement a "Defense in Depth" strategy across our digital ecosystem. All client data is protected using AES-256 encryption at rest and TLS 1.3 encryption in transit. Access Control: We enforce mandatory Multi-Factor Authentication (MFA) for all corporate applications and cloud environments. Endpoint Protection: Workstations run centrally managed Endpoint Detection and Response (EDR) and antivirus software. Connectivity: Employees must connect via a private, encrypted VPN to access internal resources, ensuring secure data handling regardless of location. 3. Employee Confidentiality & Data Handling Every team member undergoes a rigorous background check prior to onboarding. All staff are bound by comprehensive Non-Disclosure Agreements (NDAs) that extend beyond their employment. We conduct mandatory quarterly security training focusing on phishing prevention and data privacy (GDPR/CCPA). We operate on the Principle of Least Privilege (PoLP), granting access only to the specific datasets required for a user's current project scope. 4. Continuous Auditing & Compliance Security is a continuous process. We perform monthly internal audits to review access logs and permissions. Furthermore, we conduct bi-annual vulnerability assessments and third-party penetration testing to identify and remediate risks. We maintain a formal Incident Response Plan (IRP) to ensure immediate action and client notification in the event of a security anomaly, ensuring the highest level of transparency and data integrity.

Labeling Experience

Scale AI

Multimodal LLM Training and RLHF for Generalist AI

Scale AITextRLHFFine Tuning
This project involves the end-to-end training and optimization of Large Language Models (LLMs) to improve reasoning, safety, and factual accuracy. Scope: Conducted high-quality Reinforcement Learning from Human Feedback (RLHF) and Supervised Fine-Tuning (SFT) to align model responses with human intent. Tasks: Performed ranking and grading of model-generated responses (Evaluation/Rating), wrote complex prompts to test model boundaries (SFT), and conducted Red Teaming to identify potential safety biases or "hallucinations." Data Quality: Adhered to strict 98%+ accuracy benchmarks. All entries underwent a secondary "Golden Task" review process to ensure high-fidelity training data.

This project involves the end-to-end training and optimization of Large Language Models (LLMs) to improve reasoning, safety, and factual accuracy. Scope: Conducted high-quality Reinforcement Learning from Human Feedback (RLHF) and Supervised Fine-Tuning (SFT) to align model responses with human intent. Tasks: Performed ranking and grading of model-generated responses (Evaluation/Rating), wrote complex prompts to test model boundaries (SFT), and conducted Red Teaming to identify potential safety biases or "hallucinations." Data Quality: Adhered to strict 98%+ accuracy benchmarks. All entries underwent a secondary "Golden Task" review process to ensure high-fidelity training data.

2025