Vendor selection
Hiring a human data for llm projects company in India
What to look for when you hire a human data for llm projects vendor in India, the questions that separate a delivery partner from a reseller, and how engagement usually works.
- Engagement
- Fixed-scope or retained capacity
- Start
- Pilot within one week
- Coverage
- 14 Indian languages, 20 cities
- Contract
- NDA, MSA, per-project SOW
What good looks like
A capable vendor can describe every step above without hedging, name who performs it, and show you the artefact each step produces.
- Task specification and rubric design
- Contributor screening against the rubric
- Calibration round with feedback
- Production with overlap and gold items
- Adjudication and delivery
Vendor evaluation checklist
| Check | What a strong answer sounds like |
|---|---|
| Who does the work | Named in-house teams and directly contracted studios, not an unnamed partner chain |
| Quota enforcement | Enforced at recruitment intake with live dashboards, not reconciled after delivery |
| QA model | Every item is traceable to a screened contributor, which matters when a model vendor audits your data provenance |
| Failure handling | Re-collection at vendor cost, never editing delivered files |
| Consent | Per-participant written consent mapped to file IDs and retained for audit |
| IP | Perpetual licence with full transfer, stated in the SOW |
| Data security | Access-controlled transfer, defined retention and deletion, DPDP-aligned handling |
Engagement models
2-6 weeks depending on task complexity and contributor screening depth.
- Fixed-scope project priced against a written specification
- Retained monthly capacity for continuous data needs
- Paid pilot converting into a production run
- Managed overflow alongside an existing vendor, delivering into their schema
What you receive
- Task data in your schema
- Rubric and calibration results
- Contributor metadata (anonymised)
- Agreement statistics
How we recruit
Contributor pools are built per domain; the same pool is not reused across conflicting tasks.
Typical reasons buyers switch vendors
- Delivered dialect mix did not match the quota that was agreed
- Transcripts normalised code-mixed speech into a single script, destroying the signal
- No traceable consent, blocking the model from commercial release
- Account layers between the buyer and the people doing the recording
- Rejected material re-delivered after editing rather than re-recording
Frequently asked
How do I choose a llm human data vendor in India?
Run a paid pilot with two shortlisted vendors on an identical specification and compare quota compliance, transcription accuracy against a blind re-transcription, metadata completeness and how each handled a failure. Three weeks of pilot beats any questionnaire.
What contracts are involved?
An NDA before specification exchange, a master services agreement, then a per-project statement of work carrying the specification, acceptance criteria and price.
How fast can work start?
Specification and quote in one working day, pilot in recruitment within a week, first recorded batch typically in week two or three.
Do you work with overseas buyers?
Most of our work is for AI teams outside India. Invoicing in USD or EUR, asynchronous reviews and delivery into your storage are all standard.
Related pages
Shortlist us for llm human data
Send the requirement and we will come back with a scope, a price and the names of the people who would run it.