Data annotation & labeling
Text, image, audio, and video labeling by vetted annotators — trained to your guidelines, working inside your platform and quality gates.
For AI labs & data platforms
AI training data talent, made in Africa
Most labs source annotation and human-feedback work from Europe and the US. Our African expert network delivers the same rigor at a fraction of the cost — vetted annotators, AI trainers, evaluators, and domain specialists, ready to work inside your platform and quality process.
What our specialists do
RLHF & human preference data
Response ranking, rewrites, and preference judgments from specialists screened for the written English and judgment this work demands.
Model evaluation & benchmarking
Structured evaluation of model outputs — rubric grading, side-by-side comparisons, and domain-expert review across STEM, coding, and more.
Red-teaming & safety testing
Adversarial probing and safety evaluation by briefed, accountable specialists rather than anonymous crowd accounts.
African language data
Native-speaker collection, transcription, and evaluation for Amharic, Swahili, Oromo, Somali, Hausa, Yoruba, and other languages most vendors can’t staff.
Coding & STEM task generation
Software engineers and STEM graduates producing coding demonstrations, math and science tasks, and expert-written training data.
A talent funnel, not another crowd
Open crowdsourcing gives you volume and hands you the quality problem. We work the other way around: we recruit against your task profile, run skills tests and identity verification on our side, and send you people ready for your own onboarding and QA — one accountable partner keeping the pipeline full and replacing dropouts. Via leading data platforms, our experts’ work has reached models at OpenAI, Anthropic, and Google.
- Data annotation & labeling
- RLHF & human preference data
- Model evaluation & benchmarking
- Red-teaming & safety testing
- Expert/domain-specific datasets
- Coding & STEM task generation
AI data FAQ
Do you deliver labeled data or supply the people?
We supply the people. GobezLabs recruits, vets, and hands you specialists — annotators, AI trainers, evaluators, domain experts — who work inside your platform, your guidelines, and your quality process, with replacements when someone drops off.
Who is this for?
AI labs, data platforms, and companies building models: anyone who needs reliable human contributors for annotation, RLHF, evaluation, or red-teaming and wants a filtered, accountable talent funnel instead of open crowd signups.
How are AI data specialists vetted?
Skills tests matched to the task type (labeling accuracy, written English, coding, domain knowledge), identity verification, and reliability screening — before anyone reaches your onboarding.
Which African languages can you cover?
Amharic, Oromo, Somali, Swahili, Hausa, Yoruba, and more — native speakers recruited in-region, with demographics documented for collection projects.
What does it cost?
Rates reflect African markets rather than US or EU contractor pricing — typically meaningfully lower for the same quality bar. Tell us the task profile and volume and we’ll quote per role or per cohort.
Need annotators, evaluators, or domain experts?
Tell us the task profile and we’ll send a vetted first batch for your own screening.