Now accepting AI annotation projects

Africa's Trusted Human-in-the-Loop and
AI Evaluation Partner.

XUmmia delivers enterprise-grade AI training data through vetted expert annotators specializing in RLHF, LLM evaluation and NLP labeling - built from Africa, serving the world.

• Verified · 99.4% IoU
Computer vision dataset preview with labeled bounding boxes around a pedestrian, tree, car and street sign in an African city street scene

Trusted experience from working with global AI pipelines

5000+
Vetted domain experts
99.4%
Golden-set label accuracy
40+
African languages & dialects
< 24h
Median project spin-up

Trusted by teams building at the frontier

Databricks
Microsoft
Google Cloud
AWS
Nvidia
Hugging Face
Anthropic
OpenAI
Meta AI
Cohere
Scale AI
Stability AI

What we deliver

Enterprise AI data services, built for scale.

From RLHF and LLM evaluation to computer vision, NLP, audio and domain-expert review — every project runs on the same quality infrastructure. See the full list of workflows we run.

RLHF & preference dataLLM evaluationNLP & code labelingComputer visionMultilingual & dialectalRed teaming & safetyMedical & legal reviewGolden-set QA

How we work

From kickoff to production dataset in weeks - not quarters.

A single project lead, transparent quality metrics, and no ambiguity about what you're paying for. Every pipeline ships with a signed provenance report you can hand to your compliance team.

  1. 01

    Scope

    Share your objective. Our solutions team returns a project spec, cost model and expert roster within 48 hours.

  2. 02

    Calibrate

    We ship guidelines, golden items and a pilot batch. You review, refine, and lock the rubric before scale.

  3. 03

    Scale

    Vetted experts run the pipeline with double-blind review and real-time quality telemetry surfaced in your dashboard.

  4. 04

    Deliver

    Structured JSONL, Parquet or direct SDK delivery - with signed audit trail, IoU / kappa metrics and revision windows.

A XUmmia expert annotator working on an LLM evaluation task

Expert • Lagos, NG

Emeka Nwosu

LLM evaluation & NLP · 4.94 rating

The talent network

Frontier AI needs frontier expertise.

We recruit from the top 5% of specialized talent across the continent - engineers, linguists, physicians, lawyers, and researchers who bring lived context that Western-only datasets have never had.

  • 5000+ vetted experts

    Multi-stage assessment across domain knowledge, English fluency, and calibration to our rubrics.

  • 40+ languages & dialects

    Native evaluators across Swahili, Yoruba, Amharic, Hausa, Zulu, Wolof and dozens more.

  • Living-wage guarantee

    Above-market pay in every country we operate in - because quality data needs a stable workforce.

  • SOC 2 & ISO 27001 aligned

    Access controls, audit trails and data residency options for regulated customers.

XUmmia Studio

The workspace your annotators actually enjoy.

Task workspace, guidelines browser, quality dashboard and payments - all in one instrument. Purpose-built for the multi-turn, multi-rubric world of modern LLM data.

studio.xummia.ai — project: MedQA-Swahili-RLHFTask 4,281 / 12,000

Prompt · Swahili

“Mgonjwa mwenye umri wa miaka 62 anaonyesha dalili za shinikizo la damu la 180/110. Ni hatua gani ya kwanza ya matibabu?”

Response Apreferred

Anza matibabu ya haraka na dawa za kupunguza shinikizo la damu kama vile labetalol IV, ukifuatilia kwa karibu…

Response B

Mpe mgonjwa maji mengi na umshauri apumzike nyumbani. Rudi baada ya wiki moja kwa uchunguzi zaidi.

Second computer-vision dataset preview: an African urban market annotated with bounding boxes

CV Dataset · Case study

Urban markets, six cities, 240k boxes.

A frontier vision lab needed street-scene detection for markets across West and East Africa. XUmmia shipped a 240,000-box, 98.6% IoU dataset in 6 weeks - a category the customer had been trying to source for a year.

Join AI Talent Network

Get paid to shape the next generation of AI.

Apply to join our vetted network of African engineers, linguists, physicians, lawyers and researchers. Work on frontier projects in RLHF, LLM evaluation, computer vision and AI safety.

  • Above-market pay in every country
  • Weekly payouts with no thresholds
  • Remote-first with flexible hours
  • Projects matched to your expertise
A XUmmia expert annotator working on an LLM evaluation task

Expert • Nairobi, KE

Amina Ochieng

Linguistics & Swahili NLP · 4.96 rating

Build the model. We'll build the data.

Tell us the objective and the timeline. In 48 hours you'll have a scoping doc, a cost model, and an expert roster ready to go.