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OceanLab Labs

Expert human data for frontier AI labs.

OceanLab Labs supplies the experts behind your training and evaluation data: coding data and RL environments, evals and benchmarks, human feedback and domain-expert tasks. Start with a small paid pilot on your real tasks, and scale once the work meets your bar.

What we deliver

Training and evaluation data,
made by people who can do the work.

We work from your specification, not a fixed catalogue. These are the four kinds of data labs ask us for.

Coding data and RL environments

Realistic software tasks with a repository, a reference solution and tests, plus the environments, tools and graders a model practises multi-step work in.

Evals and benchmarks

Evaluation sets and the harnesses that run them, written and checked by engineers, so your team measures a model the same way every time.

Human feedback (RLHF and SFT)

Rating, ranking, writing and correcting model outputs against your guidelines, for preference and supervised fine-tuning data.

Domain-expert tasks

Tasks written and graded by people who know the field, where judging an answer needs real subject knowledge.
Who does the work

Four kinds of experts,
matched to your requirements.

Coding and software engineering experts

Write, solve and review coding tasks, and build the RL environments and tooling around them.

Model evaluators

Rate, rank and correct model outputs, and flag the cases your rubric doesn't cover yet.

Domain experts

Write and grade tasks in their own field, matched to the domains your data needs.

Eval and benchmark builders

Design evaluation sets and the harnesses that run them, end to end.
Quality

Four checks before
work counts as done.

Every piece of work passes the same pipeline, and your QA team has the last word.

  1. 01

    Trial task

    Everyone completes a scored trial task before they join your work.

  2. 02

    Second reviewer

    A second reviewer checks submitted work before it reaches you.

  3. 03

    Calibration rounds

    Leads run calibration rounds so reviewers apply your rubric the same way.

  4. 04

    Your QA decides

    Your own QA has the final say, and anything you reject gets fixed.

Security

Your data stays
in your hands.

NDA for every person

Everyone on your work signs an NDA before they start.

Your tools and accounts only

Work happens only in your own tools and accounts. No data leaves them.

A dedicated team

People on your work don't work for a competing lab at the same time.
How it works

Request, pilot,
then scale.

  1. 01

    Tell us what you need

    The data, the skills it needs, your guidelines or rubric, and your timeline. We match people to it.

  2. 02

    Run a paid pilot

    A small team works on your real tasks first, so you judge the quality before committing to more.

  3. 03

    Scale up

    When the pilot meets your bar, we add people to the same work and keep it running as long as you need.

How OceanLab Labs works: the pilot, quality checks and security →

Why OceanLab

Engineers from a software company,
not a crowd marketplace.

The people come from a software engineering company with 377 product builds across 19 sectors, so coding tasks, environments and evals are written by people who ship software.

377

Product builds shipped

19

Sectors we've built for

4

Time-zone regions we overlap

Pilot

Paid pilot on your real tasks first

Hours that overlap yours

Remote from India, with working hours arranged to overlap: US (East and West Coast), UK and Europe, Middle East, Australia and Asia. People can travel onsite when the work needs it.

Pricing scoped to the work

Pricing is scoped per project once we understand the work, usually after a short paid pilot.
Questions labs ask

Frequently asked questions

What does OceanLab Labs provide to AI labs?

Expert human data: coding data and RL environments, evals and benchmarks, human feedback for RLHF and SFT, and domain-expert tasks, produced by people matched to your requirements.

How does an engagement start?

With a paid pilot: a small team works on your real tasks first. If the output meets your bar, we scale the team up on the same work.

How do you check quality?

Everyone does a scored trial task before joining, a second reviewer checks submitted work, leads run calibration rounds, and your own QA has the final say. Anything you reject gets fixed.

How is our data kept safe?

Every person signs an NDA, work happens only in your own tools and accounts, and the team on your work doesn't work for a competing lab at the same time.

Which time zones can the team work in?

The team works remotely from India and arranges working hours to overlap with the US (East and West Coast), the UK and Europe, the Middle East, and Australia and Asia. People can travel onsite when the work needs it.

What does it cost?

Pricing is scoped per project once we understand the work, usually after a short paid pilot.

Looking to automate your company's workflows with AI instead? See AI automation.

OceanLab

Enterprise Software Engineering - Human + AI

Languages

Locations

Global Headquarters

21 Merchant Road, 3rd Floor, Singapore 058267

Main corporate office and leadership operations

North America Office

548 Market Street, PMB 12472, San Francisco, CA 94104

Client operations and business development

India Office

402 Shivalik Shilp II, SG Highway, Ahmedabad 380015

Engineering and delivery center

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