Medicine & Clinical
Physicians, radiologists, nurses, medical coders
Expert Intelligence for Frontier AI
Domain experts for data annotation, RLHF, and model evaluation — sourced and trained on our own platform, with quality control built in.
Where our experts studied and worked
Every great model has great teachers.
Your model's remaining mistakes are the ones only specialists catch. Fixing them takes expert feedback at scale — and your own specialists don't have the time. That's where ours come in.
500,046Registered experts
108Countries
45Languages
261Disciplines
Experts in every domain.
A radiologist who reads a hundred scans a day? A quant who prices derivatives for a living? A robotics engineer who's actually built manipulation systems?
Tell us who your model needs to learn from — we recruit the first batch within 24 hours.
Law & Compliance
Attorneys, contract specialists, compliance officers
Finance
Financial analysts, accountants, quants, risk specialists
Software & STEM
Software engineers, mathematicians, physicists, chemists
Cybersecurity
Security researchers, penetration testers, threat analysts
Languages
Native-speaker evaluators, linguists, translators — 45 languages
Creative
Designers, writers, photographers, video editors
Robotics & Physical AI
Robotics engineers, on-the-ground data collectors — LiDAR and 3D point cloud annotation
100%Hold a bachelor's degree or higher
35%From QS top-100 universities (Harvard, MIT, Cambridge)
75%Senior — 2+ years in annotation
One workforce, every modality.
End-to-end data annotation services for machine learning teams — turning expert judgment into AI training data.
Data annotation & labeling
RLHF & preference data
Model evaluation & red-teaming
Multimodal data annotation — text, image, video, audio
Data collection for physical AI
AI-assisted labeling pipelines
Quality is a system, not a promise.
Spot checkers, reviewers, and domain leads check every batch — human-powered, AI-assisted — before it reaches you. White-glove support on every project.
95%+Accuracy
87%Expert retention — 2× vendor average
24hFrom project kickoff to first delivery
Enterprise-grade security & compliance
SOC 2ISO 27001GDPRCCPA
What we've shipped.
Foundation model lab
Post-training preference program
PhD-heavy panel across math, code, and reasoning; 6-month rolling program with weekly refresh.
+17%Model-lift on hidden eval
0.86Inter-rater agreement
Robotics company
Rollout evaluation at scale
Expert reviewers scoring teleop and autonomous rollouts on a shared rubric; feeds directly into training curriculum.
4×Throughput vs. in-house
<48hTurnaround per batch
Enterprise AI platform
Regulated-domain SME review
Licensed clinicians and attorneys reviewing agent outputs against internal policy; VDI-only, full audit trail.
100%Licensed reviewers
SOC 2Delivery environment
Choose how we work together.
Recommended
Managed delivery
Abaka runs the program end-to-end. You define the outcome; we own sourcing, calibration, QA, and delivery of verified datasets or evaluation results.
- Best for
- Post-training, eval, agent traces
- You get
- Verified deliverables
- Priced by
- Program / SLA
- Kickoff
- 2–3 weeks
Extend your team
Embedded experts
Vetted specialists join your Slack, sprints, and internal tooling. Managed by you, backed by Abaka's calibration and QA infrastructure.
- Best for
- Custom eval, SME review, red-team
- You get
- Extended team capacity
- Priced by
- Monthly retainer
- Kickoff
- 1–2 weeks
Questions researchers ask us
Why outsource annotation instead of building in-house?
AI data annotation outsourcing gets you a verified, managed expert team for annotation, RLHF services, and model evaluation services — without months of sourcing, vetting, and calibration, and without pulling your own specialists off their real work. You keep control of guidelines and quality bars; we run the workforce. Unlike generalist data labeling companies, every expert comes with credentials you can audit — the fastest way to hire AI trainers without building a hiring pipeline.
How do you verify your experts?
Five gates: application, an AI interview reviewed by a human, government-ID and location checks, a domain exam graded by senior reviewers, and continuous re-verification through completed work. Nobody touches client data before clearing all five.
How does quality control work?
Every project includes a layered QC pipeline: spot checkers, reviewers, and domain leads, plus automated checks — human-in-the-loop at every layer. Issues get caught in hours, not days — before the human data reaches your LLM pipeline.
How fast can we start?
We reply to your request within an hour, recruit the first batch within 24h, and typically deliver first data within 24 hours of project kickoff.
Where are your experts located?
Our expert annotators work across 108 countries and 45 languages. Provenance reporting tells you exactly who worked on your data — and from where.
How do you handle confidentiality and security?
We run secure data annotation services for enterprise teams: NDAs and data-handling protocols on every project, verified identities, location and VPN fraud controls, and per-project provenance reports on request.
Uncompromising security & ethics: enterprise-grade security with SOC 2, ISO 27001, and GDPR compliance, built on a foundation of ethical and transparent data sourcing.
Bring verified experts to your next dataset.
Tell us what your model needs to learn. Matched team inside 24 hours.
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