LEAFBYTE
Discuss a project
HUMAN EXPERTISE
AI systems increasingly require more than general-purpose annotation. LeafByte builds project-specific human intelligence teams around the knowledge, language, professional background, and contextual understanding each engagement requires.
EXPERTISE MODEL
WE DON’T FORCE EVERY PROJECT INTO THE SAME WORKFORCE.
Different AI systems require different forms of human judgment. LeafByte begins with the requirements of the project, then develops the evaluator profile, qualification process, training workflow, and quality controls needed for the engagement.
01 — DEFINE
Identify the knowledge, experience, language, and judgment required.
02 — SOURCE
Recruit candidates aligned with the project’s evaluator profile.
03 — QUALIFY
Assess candidates using project-specific screening and qualification tasks.
04 — CALIBRATE
Train selected evaluators against guidelines, examples, rubrics, and quality expectations.
DOMAIN EXPERTISE
SPECIALIZED KNOWLEDGE WHEN THE TASK DEMANDS IT.
HEALTHCARE
Clinical response evaluation · Medical terminology review · Healthcare content classification · Patient-facing AI evaluation · Domain-specific factuality review
Projects requiring healthcare knowledge can be matched with appropriately qualified professionals based on engagement requirements.
TECHNOLOGY & CODING
Code response evaluation · Technical accuracy review · Programming task assessment · Software documentation evaluation · Technical reasoning review
FINANCE & ACCOUNTING
Financial response evaluation · Accounting task review · Business data classification · Financial reasoning assessment · Domain terminology validation
BUSINESS & OPERATIONS
Business reasoning evaluation · Operations-related AI assessment · Customer-support evaluation · Process and workflow analysis · Professional communication review
ENGINEERING
Technical response evaluation · Engineering terminology review · Technical reasoning assessment · Documentation evaluation · Specialized data classification
LEGAL
Legal-domain content evaluation · Terminology review · Document classification · Legal reasoning assessment · Professional-context evaluation
LANGUAGE & CULTURE
LANGUAGE IS DATA. CONTEXT GIVES IT MEANING.
Models operating across countries and communities need evaluation that goes beyond literal translation. Regional language use, cultural references, local knowledge, tone, and context can materially affect how AI outputs are understood. LeafByte can develop project-specific evaluation capacity across African markets.
English · Nigerian English · Nigerian Pidgin · Igbo · Yoruba · Hausa · Regional & Cultural Context
Language coverage and evaluator availability are developed according to project requirements and qualification standards.
GENERALIST EVALUATION
NOT EVERY AI TASK REQUIRES A SPECIALIST.
Many high-volume AI workflows depend on capable generalist evaluators who can consistently follow detailed instructions, apply rubrics, compare model outputs, identify errors, and make structured judgments.
Response ranking · Preference evaluation · Content classification · Search relevance · Instruction-following review · Safety evaluation · Data validation · Content moderation support · Prompt-response evaluation
QUALIFICATION
EXPERTISE HAS TO BE VERIFIED BEFORE IT CAN BE TRUSTED.
Professional background alone does not guarantee strong AI evaluation. LeafByte’s delivery model combines candidate screening with project-specific qualification and calibration.
CANDIDATE → SCREENING → SKILLS ASSESSMENT → PROJECT QUALIFICATION → CALIBRATION → PRODUCTION → ONGOING QA
Qualification criteria can be customized around client-defined requirements, rubrics, subject matter, languages, and quality thresholds.
BUILT AROUND THE PROJECT
THE WORKFORCE SHOULD FIT THE WORK — NOT THE OTHER WAY AROUND.
LeafByte’s model is designed to build delivery teams around each engagement rather than maintaining a one-size-fits-all labor pool. This allows projects to combine generalist evaluators, language specialists, subject-matter experts, quality reviewers, and team leads as required.
PROJECT COORDINATOR
TEAM LEAD
EVALUATORS / ANNOTATORS
SUBJECT-MATTER SPECIALISTS
QUALITY REVIEWERS
Team composition varies by project.
Tell us about the task, domain, language, quality requirements, and expected scale. LeafByte can help determine the evaluator profile and delivery model appropriate for the project.