Read beyond fluency
Spot when a confident answer is unsupported, incomplete, unsafe, or poorly matched to the user.
The people in the loop
Imbazo brings careful readers, clear thinkers, language experts, and technical specialists into managed AI evaluation work.
Apply on WhatsAppReviewer’s margin / example
“The answer sounds fluent, but the conclusion reaches beyond the evidence provided.”
Illustrative note — not client data.
The practice
Spot when a confident answer is unsupported, incomplete, unsafe, or poorly matched to the user.
Record why one response is stronger so the signal remains useful to the model team.
Bring language, cultural, technical, or professional knowledge to the work when the task requires it.
Apply a detailed rubric reliably and flag ambiguity instead of guessing.
Inside a managed pod
The work is structured around instructions, calibration, quality review, and a clear path for questions.
Learn the task through instructions, examples, and a small test batch.
Complete assigned evaluation or annotation work against the agreed rubric.
Receive review notes, resolve ambiguity, and improve consistency over time.
Before you apply
In your WhatsApp message, include:
Applications are reviewed against available project needs. Applying does not guarantee placement.
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