You will get AI Annotation Tasker | Trainer — I Do, Train, or Build Your Operation

Fred O.Status: Offline
Fred O. Fred O.

Let a pro handle the details

Buy Data Entry services from Fred, priced and ready to go.
Fred O.Status: Offline
Fred O. Fred O.

Let a pro handle the details

Buy Data Entry services from Fred, priced and ready to go.

Project details

I started in 2019 as a tasker on Amazon Mechanical Turk, then moved into AI data annotation on Remotasks, Handshake, Mercor, and Outlier. I progressed from doing production work → training teams → building full AI annotation operations systems. This catalog combines all three into one practical solution.

I SET UP & RUN YOUR AI ANNOTATION OPS: I create and manage accounts and workflows on platforms like Remotasks, Scale AI, Appen, Toloka, DataAnnotation, and Clickworker. Includes setup, structure, and full handover.

I TRAIN YOUR TEAM: A 5-module curriculum covering AI/ML basics, annotation platforms, data types & QA, bias & privacy, and tools/formats. 20 lessons (213 mins). Live, self-paced, or hybrid.

I BUILD YOUR OPS SYSTEM: Self-hosted RustDesk remote setup, MiniGigsHub dashboard (shift tracking, analytics, leaderboard), onboarding system, 30-day support, and full source code + deployment handover.

WHO IT’S FOR: freelancers, agencies, training centres, and businesses building AI data teams.

WHY ME: built from real production experience, not templates—focused on execution and scalability.

Message me with your package and what you’re building.
Data Entry Type
Copy Paste, Data Cleansing, Document Conversion, Error Detection, Online Research, Word Processing
What's included
Service Tiers Starter
$120
Standard
$540
Advanced
$1,800
Delivery Time 1 day 7 days 14 days
Number of Revisions
125
Number of Hours of Work
62790
Formatting & Clean Up
Graph & Table Creation
Optional add-ons You can add these on the next page.
Additional Revision
+$10
Additional Hour of Work
+$10

Frequently asked questions

Fred O.Status: Offline

About Fred

Fred O.Status: Offline
AI Systems Engineer | LLM Evaluation (RLHF) | Full-Stack Engineer
Nairobi, Kenya - 4:18 am local time
I build the systems that power AI—and I’ve worked on the data that trains them.

Most engineers stay on infrastructure.
Most annotators stay on task execution.

I’ve worked across both.

That means I don’t just design pipelines or deploy models in isolation—I understand how data is labeled, where quality breaks, and what actually improves model performance.

Result: systems built for real-world performance—not theory.

🛠 Software Engineering

I design and deploy full-stack systems built for real operations—not demos.

WeDemo Africa — AI + Human Talent Ecosystem

A production ecosystem I built to move users through:

Mindset → Skills → Monetization

This is a multi-layered operational system, not a content platform.

Core system design:

User progression: onboarding → learning → execution → earning
Hybrid AI + human workflows (mentorship, assessments, guidance)
Integrated platforms: learning, work, referrals, leadership
Gated progression: certification, assessments, controlled access

Operational layer:

Structured training pipelines
Dashboard-driven user tracking
Real-world outcome focus (not just completion)

✔ Live system handling real users and workflows

Mini Gigs Hub — Team Operations Dashboard

A production system for managing distributed teams:

Role-based access control
AM/PM shift reporting
Automated email alerts (cron jobs)
Admin analytics & performance tracking
Infrastructure & Systems
RustDesk relay & ID servers (VPS deployment)
Secure remote desktop environments
Browser isolation + proxy/session workflows
Core Stack

Next.js · React · TypeScript
PostgreSQL · Prisma · REST APIs
Vercel · Docker · VPS
Clerk · Role-based access
Cron jobs · Automation
JSON · CSV · JSONL pipelines

🤖 AI Systems Engineering

I design the operational layer between AI systems and the people training them.

That includes:

Annotation pipelines (RLHF, ranking, classification, etc.)
Task design + annotation guidelines
QA systems for consistent output at scale

I also build AI-powered APIs:

LLM integrations
Annotation workflow endpoints
Prediction-serving APIs

✔ Production-ready, documented, and integration-ready from day one

Training Systems

I’ve built a complete AI annotation training program:

5 structured modules
Covers text, image, audio, video + RLHF
Includes ethics, bias, and PII handling

Comes with:

Lesson scripts
Slides
Exercises
Assessments

✔ Ready for teams of 3–50

🧠 AI Evaluation

I’ve worked directly on:

Remotasks
Handshake
Mercor

So I understand:

How tasks are designed
Where they break in practice
What actually produces high-quality data

What I evaluate:

RLHF preference ranking
Prompt/response quality
Instruction-following accuracy
Hallucinations & factuality
Safety, bias, compliance

I also train evaluators in judgment—not just mechanics.

🎯 Who I Work With
AI companies building or refining LLM systems
Teams setting up annotation / RLHF pipelines
Organizations deploying training + workforce systems

If you need someone who understands:
systems + data + people + execution

—that’s where I come in.

🚀 Let’s Work

Send me a message with what you're building.

I’ll respond with a clear, technical breakdown of how I’d approach it—usually within a few hours.

Steps for completing your project

After purchasing the project, send requirements so Fred can start the project.

Delivery time starts when Fred receives requirements from you.

Fred works on your project following the steps below.

Revisions may occur after the delivery date.

I DO THE WORK

Discovery → Account Setup → Live Tasks → Handover

I TRAIN YOUR TEAM

Discovery → Curriculum Delivery → Team Training → Handover

Review the work, release payment, and leave feedback to Fred.