AI Evaluation & Expert Workforce
Managed expert-review capacity for AI post-training, model evaluation, data quality, and domain-specialist human-in-the-loop workflows.
- 1AI lab / enterprise customerDefines the model, task, or evaluation need.
- 2AI data or evaluation vendorDesigns the workflow, rubric, and data pipeline.
- 3RassayiRecruits, screens, calibrates, coordinates, and quality-manages expert reviewers.
- 4Qualified experts and reviewersProvide domain-informed judgment within the managed workflow.
Flexible expert review for project-specific evaluation needs.
Rassayi supports AI data, model-evaluation, and post-training teams with managed access to qualified human experts and reviewers. We help coordinate screening, calibration, workflow execution, QA sampling, and delivery management so partners can scale expert judgment without managing every contributor individually.
AI response evaluation and rubric-based scoring
Qualified reviewers assess model outputs against project rubrics to produce structured quality signals.
LLM post-training and human feedback workflows
We support RLHF, preference ranking, and fine-tuning data pipelines with calibrated reviewers who understand the domain.
Reasoning and agent-output evaluation
Structured review of multi-step reasoning, tool use, and agent outputs to surface failure modes and edge cases.
Document, spreadsheet, presentation, and work-product evaluation
Qualified reviewers assess structured and unstructured professional work products against project-specific criteria.
Domain-specialist review across expandable fields
A project-specific qualified contractor bench can support business, technical, regulated, and customer-facing evaluation needs.
Data QA, reviewer QA, adjudication, and quality sampling
Built-in quality loops, reviewer calibration, adjudication, and sampling so your dataset improves over time.
We recruit, screen, calibrate, coordinate, and quality-manage qualified contractors.
So AI data and model-evaluation partners can scale expert human judgment without building a workforce operation from scratch.
Recruit
We identify candidates with the right professional and domain backgrounds for your evaluation tasks.
Screen & calibrate
Selected reviewers complete project-relevant screening and rubric calibration before production work begins.
Coordinate
We manage scheduling, task allocation, communication, and throughput so your program stays on track.
Quality-manage
Ongoing reviewer QA, adjudication, feedback loops, and sampling support consistency and surface variance.
Expertise matched to each project—not a fixed industry list.
Rassayi can support AI evaluation projects requiring domain experts across business, operations, engineering, manufacturing, finance, accounting, healthcare, legal, education, retail, energy, real estate, hospitality, customer support, and other specialized fields based on project requirements.
Workforce support built for AI-grade quality demands.
- Qualified contractor bench matched to domain and task complexity
- Rubric alignment and ongoing inter-rater reliability checks
- Reviewer QA, adjudication, and sampling workflows
- Flexible scaling for pilots, production, and surge capacity
Ready to scale expert evaluation?
Tell us about your AI evaluation program and we'll outline how Rassayi can support it.