RLHF &
model evaluation
Human judgment that helps models become more useful, accurate, and aligned with your goals.
- Preference ranking & SFT examples
- Factuality, reasoning & safety review
- Rubric design & evaluator calibration
The right minds behind your models.
We connect domain expertise, precise human feedback, and practical engineering to move AI forward.
We support the work behind reliable AI: creating training data, evaluating model behavior, and building tools that put intelligence to work.
Human judgment that helps models become more useful, accurate, and aligned with your goals.
Detailed, consistent labels across text, images, video, speech, and music.
Practical assistants and connected workflows built around how your team actually works.
AI needs people who understand the subject. We match projects with the professional knowledge, language skills, and evaluation experience the work requires.
Healthcare specialists · Physical therapists · Medical transcription reviewers
Medical terminology, rehabilitation content, clinical-text annotation, and healthcare response evaluation.
Legal professionals · Legal researchers · Document reviewers
Legal terminology, contract-content extraction, document classification, and source-grounded review.
Finance specialists · Business analysts · Operations professionals
Financial and business content, professional reasoning, process documentation, and workflow evaluation.
Engineers · Software developers · AI specialists
Technical reasoning, code evaluation, engineering content, agent development, and system integration.
Educators · Subject specialists · Language reviewers
Academic content, learning materials, translation review, localization, and multilingual model evaluation.
Video annotators · Audio & music evaluators · QA leads
Scene understanding, speech quality, visual preference judgments, annotation training, and managed QA.
PRECISION IN THE DATA.
PEOPLE AT THE CORE.
Hands-on project leadership, clear guidelines, and multiple stages of review make quality part of the process.
Start with a focused pilot ↗Align on the task, examples, scoring anchors, delivery format, and acceptance criteria.
Identify domain and language requirements, assess project fit, and calibrate evaluators.
Combine initial annotation, senior review, issue adjudication, and technical validation.
Resolve exceptions, verify corrections, and deliver structured outputs with useful quality findings.
Tell us what you’re building, where you need expertise, and what success looks like. We’ll help shape the right team and approach.
Email Aces acesintelligenceph@gmail.com