Mark Mwenda

I am a detail-oriented Software Engineering graduate with strong English comprehension and analytical listening skills, committed to improving conversational AI through meticulous manual annotation.

I have experience analyzing structured workflows to identify logical breaks, intent boundaries, and evaluating system responses for contextual accuracy.

I excel at interaction segmentation, speaker turn identification, and high-accuracy manual transcription while following strict annotation guidelines and quality-control processes.

I am disciplined for independent remote work, available 4–5+ hours daily, open to QA reviews and calibration, and highly committed to confidentiality and consistency.