Train AI models

Better AI models start with better experts.

PowerToFly connects you with domain experts who understand your industry, so your model is trained by people who understand the world it's being built to serve.

80K+Experts
6,500AI professionals
190Countries
75%+Women & BIPOC

Where our experts make the difference

RLHF & human feedback

Feedback that actually makes your model better.

Domain experts provide the nuanced signal that generalist crowds can't — rated, ranked, and explained in context.

Evaluation & QA

Test against real-world expectations, not benchmarks.

Domain-matched experts evaluate outputs across languages and edge cases your team would never think to test.

Red teaming

Find the failures before your users do.

Adversarial testing by people who know your industry — they probe where your model is most likely to fail in production.

The experts behind your training data

Domain experts

The people whose subject-matter knowledge is what your model learns from

Professionals with real industry depth — physicians, lawyers, financial analysts, paralegals, compliance officers, nurses, and specialists across every industry we serve.

Physician Lawyer Financial analyst Paralegal Compliance officer Nurse
Dr. Rania K.
Cardiology
RLHF
Response A
Response B
The standard dosage is 500 mg twice daily with meals — adjusted for renal function in patients with CrCl <30.
Annotation
More precise — includes dosing route & renal caveat
Functional specialists

Experts in the work your model is being built to support

People who know what good output looks like in practice — writers, educators, customer service leads, HR professionals, linguists, and operators across the functions your model serves.

Content writer Educator HR professional Linguist Customer service lead
Josephine M.
Legal writer
EVAL
HR policy assistant · Quality rubric
Accuracy
Tone
Completeness
Clarity
Submit eval →
Technical reviewers

Professionals who evaluate model behavior at the technical layer

The people who stress-test your model against real-world edge cases — ML engineers, data scientists, prompt engineers, QA analysts, and LLM evaluators.

ML engineer Data scientist Prompt engineer QA analyst LLM evaluator
Red team · Finance LLM
2 of 5 active
LIVE
FLAGGED
Flag →
Jailbreak via role-play → exposes user PII
Probe #47: role-play as "no-filter mode" bypasses system prompt.
✓ Flagged for fix
REVIEW
Prompt injection bypasses compliance rules
MONITOR
Inconsistent output on edge-case queries

Better inputs make better models.

Representative domain experts who understand your industry produce more accurate outputs, so your AI works for more of the people it's built to serve.

More accurate outputs

Experts who understand your use case catch errors that generic annotators miss.

Defensible by design

Verified identities and credentials mean you can explain who trained your model to your regulators, your legal team, and your board.

Fewer blind spots

A representative expert pool catches edge cases a homogenous team won't see before they hit production.

Consistent across releases

Work with the same experts across model versions. Familiarity with your data compounds over time.

How it works

01

Tell us what you're building

Walk us through your model, your industry, your use case, and what good output looks like for you. The more we understand, the better the match.

02

We match the right experts

We curate a list of verified domain experts who already understand your space and the work you need them to do.

03

Your experts get to work

Your cohort delivers structured feedback your team, your regulators, and your board can stand behind.