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Data Labelling and Annotation
Text, image, audio and dialogue data, labelled against your guidelines.
Human Checks for AI · Human-in-the-Loop
Call QA for voice agents, rating AI answers, labelling and moderation. Academy-trained reviewers, in-house team leads, QA sampling and daily accuracy scores.

What Our Teams Do
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Text, image, audio and dialogue data, labelled against your guidelines.
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Rating, ranking and rewriting LLM output for accuracy, safety, tone and instruction-following.
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Testing call flows, listening to and scoring agent calls, flagging failures, and handing off to humans where your workflow needs it.
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Policy-based review queues with clear escalation paths.
How We Run It
We recruit and screen reviewers, then train them through ISHC Academy on your guidelines before they touch live work. In-house team leads and QA sampling keep quality steady as the team grows. We work in your platform or a setup we provide.
Why ISHC
Proof Week
Give us one real task: voice-agent call QA, rating AI answers, labelling or moderation. Up to 3 Academy-trained ISHC reviewers work on it for 3 working days, free. We score their work every day against your examples, then give you a scorecard. Continue only if the numbers convince you.
Prefer WhatsApp? +1 470 968-1646 · ceo@int-shc.org
After Proof Week
Weekly quality reports cover accuracy, throughput and error types.
Questions
AI data companies, voice-AI and conversational-AI companies, data-labelling vendors that need overflow capacity, and product teams shipping LLM features.
Yes. We train reviewers on your guidelines before they touch live work, and they work in your platform or a setup we provide.
With International Strategic Hiring Choices (LLC), a US firm. Delivery runs from our in-house centre in Dhaka, Bangladesh.
Proof Week is free: up to 3 reviewers plus an ISHC team lead, for 3 working days, one per company. After that, pricing is set per deal, based on the task, hours and scope.
Experienced, Responsible, and Solution-Focused.
Model quality now depends on human judgement at scale. See it on your own task with Proof Week.