African expert intelligence for frontier AI
Practising lawyers, doctors, compliance specialists, translators, and engineers who judge whether your model is accurate, safe, and right for the markets it ships into.
- 7+
- years building the network
- 5
- expert disciplines
- 50–100
- experts per pilot
- 4 days
- to a vetted shortlist
Stand up a vetted evaluation cohort
50–100 screened professionals matched to your evaluation task. Shortlist in 4 days, not months.
Start a pilot →Get paid to judge AI in your field
Law, medicine, finance, language, engineering — flexible project work that uses your real expertise.
Apply to join →A professional network, seven years in the making
Frontier AI needs expertise, not just annotation. We screen and coordinate professionals with real-world experience in the fields where AI is actually deployed.
Lawyers & legal professionals
Practising lawyers who judge model output against real statute and case practice.
Compliance, risk & financial services
Compliance officers, risk analysts, and finance professionals from regulated institutions.
Doctors & healthcare professionals
Clinicians who understand African care realities, not just textbook medicine.
Translators & language specialists
Yoruba, Hausa, Igbo, Nigerian Pidgin, Swahili, French, Arabic, and code-switched African English.
Engineers & domain experts
Software, energy, and industrial specialists for technical reasoning and benchmark design.
Nigeria, Kenya, Ghana, South Africa, and Egypt — with the infrastructure to screen and coordinate at scale.
Six ways the network plugs into model development
Expert model evaluation
Assessing outputs against professional standards in law, healthcare, finance, and engineering.
Human feedback
Structured feedback where specialist knowledge is required — not generic preference labelling.
Safety & red teaming
Surfacing harmful, misleading, or contextually unsafe model behaviour before your users do.
African language evaluation
Yoruba, Hausa, Igbo, Nigerian Pidgin, Swahili — evaluated by native professionals.
Cultural & contextual evaluation
Testing whether models understand African contexts — not just translate answers built elsewhere.
Benchmark & dataset creation
Evaluation tasks, rubrics, benchmark questions, and expert-graded datasets built with domain experts.
Global benchmarks, Western defaults
Most evaluation datasets are still built on Western contexts. A model can ace a general benchmark and still fail at:
The value is not simply that these professionals are African. It's that they hold real expertise within African contexts — the contexts AI systems need to perform reliably in.
Prove it on one problem first
No broad engagement upfront. We pick one high-value evaluation problem where African professionals give you a real advantage — then prove it, measured against agreed benchmarks.
Scoping conversation. We find the evaluation problem where African expertise matters most.
Define the pilot. Scope, expert profile, rubric, and success metrics — agreed before anyone is engaged.
Run and review. Results against benchmarks give a practical basis for deciding on scale.
experts across legal, compliance, healthcare, and language — selected, screened, and matched to your defined evaluation task.
Not a staffing vendor. A source of human judgment for increasingly capable AI systems.
Questions AI teams ask us
We connect frontier AI companies with vetted African professionals — lawyers, doctors, compliance and finance specialists, translators, and engineers — for expert model evaluation, human feedback, red teaming, and benchmark creation.
Tell us the evaluation problem
Share the domain, the languages, and the volume. We come back with a proposed expert profile and pilot scope — usually within one working day.
leelee@thecareerbuddy.com · Lagos, Nigeria