AI Quality Assurance
RealLoop helps enterprise teams understand where their voice AI agents fall short — and why. Human judgment, calibrated at scale.
Join Our Reviewer Network →Enterprise teams deploying voice agents at scale need a structured way to understand where their AI falls short — in tone, accuracy, pronunciation, and real-world experience.
We build and run evaluation pipelines that produce consistent, actionable output — so AI teams can improve faster, with confidence, on every release cycle.
Our clients operate in fintech, edtech, and enterprise SaaS — industries where the quality of a voice interaction directly impacts customer outcomes and retention.
We don't just flag issues — we train reviewers to follow structured rubrics that engineering and product teams can act on directly, sprint over sprint.
We embed trained reviewers into client pipelines on a project basis. Our reviewers are not transcriptionists — they are calibrated evaluators who follow structured rubrics and produce output that engineering and product teams can use directly.
Every engagement starts with a calibration phase, where we align reviewers to the specific agent, use case, and quality bar before any live reviewing begins. This ensures consistency across the team and across the life of the project.
Our work sits at the intersection of human judgment and AI systems — and we take both seriously. We build pipelines, not guesswork.
We learn your agent's deployment context, failure modes, and the quality bar that matters to your team.
We build a structured evaluation framework tailored to your use case — tone, accuracy, language, response quality.
Reviewers are trained and calibrated before live work begins, ensuring consistent output across the team.
Structured reports delivered on your cadence. Findings are actionable — not just flagged, but prioritised.
We're building a team of part-time AI call reviewers — sharp listeners who are detail-oriented and comfortable working within structured formats.
This is a paid, remote, part-time engagement. Work is project-based, with potential for long-term collaboration based on performance. Flexibility is built in — you choose your hours within the project window.
We work in Hindi and English, and value people who are precise, reliable, and genuinely curious about how AI systems communicate.
Write to us with a short note about yourself — your background, availability, and why this interests you. No formal CV required.
hire@realloop.in →