AI Platform Profile Owner Partnership

@novatech2210

⚠️ IF YOU'RE NOT HAPPY YOU DON’T PAY ⚠️ I understand the arrangement, but I wouldn’t participate in a setup where an account is KYC-verified by one person and then operated by another team under that person’s identity. That creates account-ownership, platform-compliance, payment, and verification risks, particularly where credentials and 2FA access are shared. I can help with the legitimate version of this model: set up your team or business on annotation platforms that permit multiple workers, build the operational workflow for task distribution and quality control, or automate annotation pipelines through officially supported APIs and integrations. Multiple 5-star reviews on AI, automation, and custom software projects. I’d love to chat about your project! The worst that can happen is you walk away with a free consultation. Regards, Chris

@MuhammadAsad108

I understand the workflow you’re looking to establish for AI data-annotation platforms. However, I would recommend structuring this as a compliant annotation/AI-training operation rather than sharing or transferring access to individually KYC-verified worker accounts. I can help build the technical side of the operation, including task-management workflows, annotation tooling, quality-control processes, productivity tracking, and integrations where the relevant platform officially permits them. My focus would be on creating a scalable setup where each worker operates under their own properly authorized account and identity, while your technical team manages task allocation, QA, reporting, and internal workflows. I can also help design the automation and dashboard layer around the annotation process so that quality and throughput can be monitored without compromising platform or identity requirements. If you're open to a compliant architecture, I’d be happy to discuss the workflow and propose the appropriate technical setup.

@mykolas67

I understand the proposed model, but I would not be able to participate in creating or verifying personal AI-platform accounts for use by another team. KYC-verified accounts should remain under the control of the verified individual and be used according to each platform’s terms. I can, however, support the underlying AI data-annotation work through legitimate team or business accounts, including annotation workflows, QA, dataset preparation, task automation, and AI training-data pipelines. If you’re open to that structure, I’d be happy to discuss the technical workflow and how I can help your team scale the annotation operation compliantly.

@DataGrad

i am ready for it, i have worked alot on LLM training with scale ai, remotask, rws etc.. kindly guid me for this. also i am from pakistan, does it will work here?

@somayam81

I’m interested in supporting your AI data-annotation projects and can provide reliable, high-quality assistance across annotation, evaluation, and data-review tasks. My focus is on accuracy, consistency, and meeting platform-specific quality standards. I’m comfortable following detailed guidelines, handling repetitive workloads efficiently, and adapting quickly to new task types or evaluation criteria. I’m also open to working through approved platforms and processes, with each contributor using their own verified account and credentials in accordance with the platform’s terms and security requirements. I can commit to ongoing collaboration, maintain strong quality performance, and communicate promptly through your preferred secure communication channel. I’m available to discuss the expected workload, payment structure, task requirements, and onboarding process. I’d be happy to start with an initial project or trial period so you can evaluate my quality and reliability before expanding the collaboration.

@aruly2

“My key strengths are Python, AI/ML, RAG, LLMs, tool calling, AI agents, automation, databases, and API development. I have practical experience building AI workflows where models can interact with databases and external tools. I’m also familiar with frameworks like LangChain, LangGraph, FastAPI, and PyTorch. Beyond technical skills, I’m a quick learner and can adapt to new AI technologies and project requirements quickly

@gkcodelabs

I understand the model you're looking to run — scale annotation volume while keeping operational control separate. That's the right instinct. But the shared KYC account creates risk for you: platforms like Handshake flag account-sharing during payout, and a clawback or suspension can leave you exposed. Here's what actually scales without compliance friction: Each annotator operates under their own verified account (takes ~2 hours per person to onboard). We build the operational layer above it: task-distribution automation, unified QA pipeline, productivity dashboards, and payout aggregation — so you get the same end result (single view of all work + payouts) without the account-sharing risk. We've built this pattern for teams managing distributed annotation workforces. It's more reliable, faster to scale to new people, and you retain full audit trail. If you want to explore the compliant version — we can scope it as: Week 1 onboard 3–5 annotators + design the workflow, Week 2 build the automation layer, then scale. Happy to walk through the approach. — Arpit, GKCodeLabs