Skip to main content
Expert Review is how your organization brings its own domain experts into the verification stack. You invite the clinicians, ops specialists, and policy owners who already know your domain; they work in the Expert Review portal at talent.akhara.ai on runs, scores, and tasks from your Environments and Evaluation projects. Akhara does not recruit or staff these experts. Your organization decides who gets in, what they can see, and how they are compensated. Akhara provides the portal, the workflows, and the handoff into the rest of the suite.

What your experts do

The primary job is audit and review: specialists examine agent trajectories, scores, and failures; grade policy-sensitive cases; and flag tasks and rubrics that do not hold up under expert scrutiny. See Reviewing agent runs. Two contribution work types build on that review muscle: Experts work in domain only. If an item is outside their specialty, they decline or escalate it.

For admins

You control the roster and the scope:
  1. Invite your specialists from your org’s admin console or project settings
  2. Set roles and scope access to specific projects and review queues
  3. Assign experts to review, RLHF, or writing queues that match their declared specialties
See Invite your experts for the full workflow, roles, and access model.

For invited experts

After your organization sends the invite:
1

Accept the invite and create an account

Use the invite link at talent.akhara.ai. See Create your account.
2

Set up your profile

Declare specialties, languages, and availability so assignments route correctly. See Set up your profile.
4

Work your assigned queues

Assignments appear on Home. See Accept assigned work.

How expert work enters the suite

Experts produce the domain signal. Akhara packages approved work into training and eval pipelines. They do not need to run environments themselves.

Policies experts must follow

Judgments and writing must be their own. Task content never goes into external LLMs. Read Policies before submitting. Need help? Email support@akhara.ai.