Expert AI training data for better models
Expert AI training data, such as coding datasets, RLHF and evaluations, created by verified software engineers. Real expertise, careful review, and data you can trust.
Where our experts create, review and deliver your data
One controlled workspace for software engineering, healthcare, legal, finance and more. Every item is written by an expert, checked by a senior expert and delivered with a quality report.
Better models start with better data
As models get stronger, generic crowd data stops helping. The next gains come from real experts who can write, judge, and explain difficult work.
Crowd data hits a ceiling
Non-experts cannot judge whether complex code is correct, secure, or maintainable.
Evaluations need real difficulty
Public benchmarks get saturated. You need fresh, hard tasks written by people who solve them every day.
Quality beats volume
One carefully reviewed example teaches a model more than a hundred noisy ones.
Human data for every stage of training
From supervised fine-tuning to reinforcement learning and evaluation, our engineers create the data your model needs next.
Coding datasets
Realistic programming tasks with reference solutions, tests, and explanations across languages and frameworks.
Preference data and RLHF
Engineers compare and rank model answers and explain why one answer is better than another.
Evaluations and benchmarks
Hard, private test sets that show what your model can and cannot do.
Agent trajectories
Step-by-step records of engineers solving real tasks with tools, terminals, and repositories.
Code review and red teaming
Experts find bugs, security issues, and failure modes in model output.
Data, cloud, and DevOps tasks
SQL, data pipelines, cloud infrastructure, and deployment tasks, not just application code.
Real engineers, not anonymous clickworkers
Every contributor is a verified professional from the Jobrela network. They are paid fairly, treated with respect, and proud of what they build. That is why the quality shows.
Verified profiles
Identity, experience, and skills are checked before anyone works on your project.
Skill-tested
Experts pass practical tests in the languages and domains they work on.
Broad technology coverage
Engineers across popular stacks such as Python, JavaScript, TypeScript, Java, C#, Go, and SQL.
Fair and motivated
Fair pay and respectful work. Motivated experts produce better data.
Every expert passes an AI interview and a human review. See how we test real knowledge, not CV claims. How we vet experts →
What companies say about engineers from our network
Feedback from companies that hired engineers through Jobrela.
This platform offers access to pre-vetted developers who are ready to jump into projects… The responsiveness of Jobrela team deserves special mention.
With Jobrella, we managed to build a skilled development team in a matter of days.
We recently used the Jobrela platform to find a senior Java Developer with experience in Kafka and DevOps for our team at Komerční Banka… we needed a highly skilled professional to join us in this project.
Quality you can measure
Good data does not happen by accident. Every project runs through the same proven process.
Expert matching
Each task goes to engineers with proven skills in that exact stack.
Guidelines and calibration
We agree on guidelines with you and calibrate experts on sample tasks before scaling.
Multi-layer review
A second expert reviews every item, and code is validated by running tests.
Transparent metrics
Regular reports with review results, agreement rates, and the feedback we acted on.
See the workspace where our experts create and review data. Software engineering, healthcare, legal, finance and more, in one controlled environment. Explore the expert workspace →
From the first call to a steady flow of data
Start small, see the quality for yourself, and scale when you are ready.
Scoping call
We learn what your model needs to learn, the formats you use, and how you measure quality.
Pilot batch
A small first delivery so you can judge the quality before you commit to more.
Scale up
We grow the expert team and keep the same guidelines and review process.
Continuous improvement
Your feedback flows back into the guidelines, so the data keeps getting better.
Your data, your models, your rights
The data is yours
All deliverables and rights are transferred to you. Nothing is reused for other clients.
NDA and access control
Every expert signs an NDA, and access is limited to the people working on your project.
Built for EU standards
We follow GDPR and can work inside your own tools and environments.
Built for teams that train and evaluate models
AI labs
Frontier and open-source model builders who need hard, expert-level data.
AI product companies
Teams fine-tuning models for coding assistants, agents, and developer tools.
Enterprises
Companies building their own models or evaluating AI before a rollout.
Want AI inside your own company instead? Our Forward Deployed Engineers and AI Transformation Leaders rebuild your processes around AI. See AI transformation →
Questions AI teams ask us
What types of coding data can you produce?
Tasks with reference solutions, unit tests, code explanations, code review comments, preference rankings, multi-step agent trajectories, and custom formats you define.
How do you make sure the quality is high?
Expert matching, calibration on sample tasks, review by a second expert, automated tests where possible, and regular quality reports.
Can we start small?
Yes. We usually start with a pilot batch so you can judge the quality before scaling up.
Who owns the data?
You do. All deliverables and rights are transferred to you under the contract.
Can your experts work in our tools?
Yes. They can work in your annotation platform, repositories, or environments, or we deliver in an agreed format such as JSONL.
Do you use data from your clients to create training data?
No. All training data is created by our own experts. Data from companies we help with AI transformation is never used to create datasets.
How fast can you scale?
It depends on the skills your project needs. After the scoping call, we give you realistic numbers instead of promises.
Let's build better models together
Tell us what your model needs to learn. We will put together a pilot with the right experts.
No obligation. Just an honest conversation about your data needs.