What trainers work on
LLM evaluation
Review model answers, rank responses, identify hallucinations, and explain why one answer is stronger.
RLHF and red teaming
Test model behavior, spot unsafe outputs, follow rubrics, and document edge cases clearly.
Language review
Use multilingual and cultural knowledge to review model outputs for African and global markets.
Specialist tasks
Apply skills in coding, math, STEM, healthcare, agriculture, law, finance, education, or social science.
Data annotation
Support image, video, text, audio, document, transcription, and multimodal AI data projects.
Who should apply
Strong readers and writers who can follow detailed rubrics.
Graduates and professionals from respected African universities and workplaces.
Reliable reviewers who protect client data and handle sensitive content responsibly.