What your lab gets
Expert tasks
Questions and problems written by people who work in the field.
Expert answers
Reference answers with the reasoning behind them.
Expert review
Model answers checked for correctness, not only for style.
Guideline input
Notes on where your rubric misses what an expert would look for.
Domain areas
We match experts to the subject of your tasks. These are the kinds of fields labs ask for; we confirm who we can match when we scope the work.
Finance
Tasks that need knowledge of markets, accounting, lending or payments.
- questions
- answers
- review
Health
Tasks that need clinical, health-system or life-science knowledge.
- questions
- answers
- review
Law
Tasks that need knowledge of legal reasoning, contracts or regulation.
- questions
- answers
- review
Science and maths
Problems that need worked reasoning, not only a final answer.
- problems
- solutions
- review
Software and data
Engineering tasks judged by people who build software.
- tasks
- answers
- review
Your field
Tell us the subject; we confirm whether we can match experts in it.
- scoping
Who does the work
Specialists matched to the subject of your tasks.
- People who work in the field the task is about.
- Checked with a scored trial task in their subject before they join.
- Calibrated against your rubric by a lead as the work goes on.
Four checks before work counts.
The same process runs on every OceanLab Labs project, and your QA always has the final say.
- 1
Scored trial task
Every person completes a scored trial task before they join your project, so only people who meet the bar work on your data.
- 2
Second reviewer
Submitted work is checked by a second reviewer before it reaches you.
- 3
Lead calibration
A lead runs calibration rounds so everyone applies your guidelines the same way as the work goes on.
- 4
Your QA decides
Your own QA has the final say on what is accepted. Anything you reject comes back to us and is fixed.
Your data stays yours.
NDA for every person
Everyone who works on your project signs an NDA before they see any of your material.
Your tools, your accounts
Work happens only inside your own tools and accounts. Your data does not leave them.
A dedicated team
The people on your work do not work for a competing lab at the same time.
Start small, then scale.
- 1
Tell us what you need
Share the work, the skills it needs, your guidelines or rubric, and your timeline. We match people to those requirements.
- 2
Paid pilot, small team
A small team works on your real tasks first, so you can judge the output before you commit to more.
- 3
Scale up
When the pilot meets your bar, we add people to the same work and keep it running for as long as you need.
Pricing is scoped per project, usually after a short paid pilot. See how it works.
Which fields can you cover?
We match experts to the subject of your tasks. Tell us the field and we confirm who we can match when we scope the work.
Are domain experts checked before they start?
Yes. Each person completes a scored trial task in their subject before joining your project.
How do you check quality?
Each person passes a scored trial task before joining, a second reviewer checks submitted work, a lead runs calibration rounds, and your own QA has the final say. Anything you reject is fixed.
How is the work priced?
Pricing is scoped per project, usually after a short paid pilot on your real tasks. There is no public rate card.
How do you keep our data and tasks private?
Everyone on your project signs an NDA, the work happens only inside your own tools and accounts, and the team does not work for a competing lab at the same time.
Related pages.
- OceanLab Labs overview Everything OceanLab Labs does for AI labs, on one page.
- Coding dataCoding tasks, reference solutions, tests and reviews of model-written code.
- RL environmentsEnvironments, tasks and checkers for training agents with reinforcement learning.
- Evals and benchmarksEvaluation sets and benchmarks designed, written and graded to your spec.
- Human feedbackRLHF and SFT data: rating, ranking, writing and correcting model outputs.
- How it worksFrom request to paid pilot to scale: quality, security, pricing and time zones.
Looking to automate your company's workflows with AI instead? See AI automation.
