Client

Human judgment for models you ship.

Orbit AI runs Generalist and Professional pipelines for clients who need production-grade rewriting, ratings, and domain review. Vetted annotators, Friday-stable capacity, and human-in-the-loop QA.

2 Public pipelines, Generalist and Professional
$20–$50 Hourly range on live client work
Friday Weekly throughput you can plan around

Pipelines clients hire

One active project per annotator. You get calibrated teams, not a marketplace bid war.

Generalist

Writing, rating, and rewrite work

Chatbot replies, marketing copy, and support drafts scored and rewritten against your rubric at $20–$35/hr.

Professional

Domain review at a higher bar

Medicine, law, finance, science, and security review with $35–$50/hr specialists and tighter accuracy gates.

How we run client programs

Forward-deployed operators plus human-in-the-loop controls so your data stays usable in production.

Build

Stand up labeling workflows, task UIs, and handoffs that match how your teams already ship.

Train

Calibrate annotators on your examples, then keep quality up with paid assessment and live QA.

Translate

Turn unstructured docs, tickets, and model traces into agent-ready datasets with rubrics and gold sets.

Red team

Probe misuse, jailbreaks, and policy gaps before you put a model in front of customers.

Where clients start

Industry playbooks with the same two pipelines and the same Friday operating rhythm.

Insurance

Turn policy and claims documents into labeled intelligence with annotators trained on your processing rules.

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60%Productivity lift
90%Accuracy improvement
70%Cost savings

Healthcare

Speed coding, triage, and diagnostic data work with secure review in your environment.

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45%Faster processing
99%Compliance alignment
80%Backlog reduction

Financial services

Parse regulations, check compliance language, and label risk with reviewers who know the domain.

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2xRisk identification
85%Audit automation
$2M+Annual savings

How we partner

A short path from messy source data to a queue your models can learn from.

01

Scope

Lock the pipeline, rubric, and volume so annotators know the bar before the first batch.

02

Staff

Fill a Generalist or Professional seat with deposit-vetted people, not an open crowd.

03

Review

QA samples live work, rejects junk, and feeds calibration notes back into the queue.

04

Ship

You receive labeled batches on a Friday rhythm you can plan model training around.

Why clients choose Orbit

Human data you can defend to legal, QA, and the model team.

Vetted capacity

Refundable deposits keep Generalist and Professional seats filled with people who stay on the work.

No synthetic fill

Zero-tolerance generative AI policy, with detection and bans when submissions are machine-written.

Geo-true data

Annotators must be in the region you specified. VPN spoofing is a hard ban.

Operators on the account

A real team scopes rubrics, staffing, and delivery with you from first batch to rollout.

Ready to staff a pipeline?

Tell us the domain, volume, and deadline. We will map Generalist or Professional coverage and a start date.

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