AI Implementation and Delivery
RLHF and model evaluation outsourcing
We provide reinforcement learning from human feedback, preference data and model evaluation for US AI teams, the human judgment that makes models more helpful, accurate and safe, with North American accountability.
Overview
Models improve through human judgment. RLHF, preference comparisons and careful evaluation are how a capable model becomes a helpful, safe one, and how teams know whether a change made things better or worse.
This work needs trained, consistent human raters, clear rubrics, and quality control, at a scale and pace that is hard to staff in-house, especially when evaluation has to keep up with a fast model-development cycle.
Corpshore US provides RLHF and model evaluation as a managed operation or dedicated team: preference data, human feedback, red-teaming and structured evaluation, to your rubrics, with quality assurance and the throughput your cycle needs.
A named point of contact in North America owns the engagement, coverage spans US time zones with bilingual capability, and raters are trained on your standards. You get the human signal to improve and trust your models.
What you get
- Higher-quality human feedback and preference data
- Evaluation that tells you if a change helped
- Red-teaming that surfaces failure modes
- Rater capacity that keeps up with your cycle
- Consistent judgment against your rubrics
What's included
Preference data
Pairwise and ranked comparisons to train and align models.
Human feedback (RLHF)
Structured human feedback for reinforcement learning and alignment.
Model evaluation
Structured evaluation of model output against your rubrics.
Red-teaming
Adversarial testing to surface harmful or failure-mode output.
Prompt and response rating
Rating responses for helpfulness, accuracy and safety.
Rubric development
Helping build and refine evaluation rubrics and guidelines.
Benchmarking
Comparing models and versions on consistent criteria.
Safety evaluation
Evaluating output for safety, bias and policy alignment.
Quality assurance
Calibration and review so ratings stay consistent.
Reporting
Clear reporting on results, trends and failure modes.
How we deliver
A simple, transparent path from first conversation to a team that scales with you.
1. Discover
We learn your goals, volumes, tools and compliance needs, then scope the right team and model. A response within 6 hours.
2. Design
We define roles, service levels, reporting and the ramp plan, and agree a clear, indicative price before you commit.
3. Deliver
We recruit, train and stand up the team inside your tools and processes, with North American management owning quality from day one.
4. Scale
We track performance against your service levels, tune as you grow, and flex capacity up or down as your volumes change.
Engagement models
Start where it fits and change as you grow, with no rigid lock-in.
Dedicated team
A team that works only for you, managed by Corpshore to your service levels. Best for ongoing operations and scale.
Staff augmentation
Skilled people who slot into your existing team and tools. Best for adding capacity quickly.
Project or managed service
A scoped deliverable or a fully managed function with an agreed outcome. Best for defined work and outcomes.
Tools and integrations
We work inside your evaluation and data tooling rather than imposing ours. Common platforms in evaluation engagements include:
Industry applications
Technology and SaaS
Evaluation and feedback for AI product teams and labs.
Industries we serveFinancial services
Evaluation of AI for support and operations under controls.
Industries we serveHealthcare
Careful evaluation of healthcare AI with human review.
Industries we serveMedia and publishing
Safety and quality evaluation for content AI.
Industries we serveCompliance considerations
Data privacy (CCPA and US state laws)
Evaluation data is handled under documented, CCPA-aligned controls, with least-privilege access.
Rater wellbeing
For red-teaming and safety work, we provide wellbeing measures and rotation for raters exposed to difficult content.
Consistency and calibration
Calibration and review so judgments stay consistent and defensible.
Frequently asked questions
Reinforcement learning from human feedback uses human judgment to align models. We provide the preference data and structured human feedback that RLHF needs.
Build your team with Corpshore US
Tell us what you want to outsource and we will map a team, a model and a timeline. North American accountability, global delivery.
We respond to every US inquiry within 6 hours.