Expert AI training data, created in one controlled workspace
Domain experts create, review and deliver complex AI training datasets for software engineering, healthcare, legal, finance and more, with every task reviewed, every decision traceable, and delivery in the format your models need.
Create, review, deliver
One workspace where every item is written by an expert, checked by a senior expert and delivered with a quality report.
Experts create the data
Vetted domain experts write tasks, solutions, rankings and evaluations, following guidelines and rubrics agreed with you.
- Guidelines and rubric next to every task
- Reference solutions run against tests
- Explanations written for the model
A senior expert reviews every item
Every item is checked by a second, more senior expert. Disagreements are resolved against the rubric, and reviewers give written feedback so quality improves batch after batch.
- Rubric scores for each response
- Safety issues tagged
- Full history of who changed what
Delivered in your format, with a quality report
Approved items are exported in your schema, as JSONL, Parquet or Hugging Face datasets, together with a quality report for each batch.
- Progress and quality per project
- Reviewer agreement and gold task accuracy
- Export to JSONL, Parquet or Hugging Face
Experts for the domains your model needs
Each project is staffed with professionals who work in the field, not generalists.
Software engineering
Coding tasks with tested solutions, code review, debugging and agent trajectories across Java, Python, TypeScript and more.
Healthcare
Clinical reasoning, medical document understanding and guideline-based evaluations by licensed professionals.
Legal
Contract analysis, legal research and drafting, and jurisdiction-specific reasoning across EU legal systems.
Finance
Financial analysis, accounting and audit tasks, and regulatory and risk scenarios.
And more
Science and mathematics, customer support, education, and multilingual data in Czech, Slovak, German and other European languages.
Data for every stage of training
Prompt and response pairs
Written from scratch by people who do the work every day.
Preference rankings
For RLHF and DPO, with the reason one answer is better.
Rubric-based evaluations
Model answers scored against criteria agreed with you.
Red teaming and safety tests
Experts look for the answers that could cause harm.
Agent trajectories
Step-by-step records of real tasks solved with tools.
Code with tests and reviews
Solutions that run, plus review comments a senior engineer would write.
Quality you can measure
Two-level review
A creator plus a senior reviewer on every item.
Rubrics and calibration
Calibration rounds before production starts, so every expert scores the same way.
Gold-standard tasks
Hidden check tasks mixed into the work to monitor every expert.
Full audit trail
Who created, reviewed and changed each item, with agreement metrics and a quality report in every delivery.
Senior professionals, not anonymous clickworkers
Engineers, doctors, lawyers and financial specialists from the Jobrela network across Europe. Each one is checked for credentials and skills before their first task.
Vetted experts under NDA
Every expert is checked and signs an NDA before the first task.
Access per project
Experts see only the project they are assigned to.
EU-based and GDPR compliant
Operations run in the EU, and personal data is handled under GDPR.
Your environment, your rules
Client data stays in the environment you approve.
Every expert passes an AI interview and a human review. See how we test real knowledge, not CV claims. How we vet experts →
Questions about our expert AI training data
What kind of AI training data can your experts create?
Prompt and response pairs, preference rankings for RLHF and DPO, rubric-based evaluations, red teaming and safety tests, agent trajectories, and code with tests and reviews. We adapt the task types to your model and your guidelines.
Which domains do you cover?
Software engineering, healthcare, legal, finance, science and mathematics, education and customer support, plus multilingual data in Czech, Slovak, German and other European languages.
How do you make sure the data is high quality?
Every item is created by a vetted expert and checked by a second, more senior expert. Calibration rounds, hidden gold-standard tasks and agreement metrics keep the scoring consistent, and every batch comes with a quality report.
In which formats do you deliver the data?
In your own schema, as JSONL, Parquet or Hugging Face datasets, or in any other format your training pipeline needs.
How do you protect our data and guidelines?
Every expert signs an NDA and sees only the project they are assigned to. Operations run in the EU under GDPR, and client data stays in the environment you approve.
How do we start?
Tell us your domain, volume and timeline. We agree the guidelines and the rubric with you, deliver a small pilot batch and scale up once you approve the quality.
Need expert data for your next model?
Tell us your domain, volume and timeline, and we'll propose a pilot batch.