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AI data annotation in India typically costs $4–$12 per hour in 2026, with high-volume basic labeling at $5–$10/hour and a common benchmark near $6 per annotator-hour. Complex multi-step judgment and RLHF for language models command higher rates. India handles a large share of global image and video labeling, so capacity is deep and cost-effective.
| Item | India | US / global | Note |
|---|---|---|---|
| Basic labeling (high volume) | $5–$10/hr | $15–$30/hr (US) | Bounding boxes, tags |
| Standard annotation (benchmark) | ~$6/annotator-hr | $20–$40/hr (US) | Image, text, video |
| Complex / multi-step judgment | $8–$12/hr | $30–$60/hr (US) | 3–5x basic labeling |
| RLHF / LLM evaluation | Higher (project-scoped) | $40–$80/hr (US) | Reasoning-grade reviewers |
| Dedicated annotator (monthly) | From $1,500/mo | $4,000–$7,000/mo (US) | AB7 managed FTE |
Ranges are 2026 market context, not quotes. AB7's transparent floor is $1,500/month per dedicated full-time professional.
India runs 60–75% below US for comparable annotation work, with a 500,000+ trained annotator workforce that handles a large share of global image and video labeling. Cost rises sharply with task complexity — binary tagging is cheapest; multi-level judgment and RLHF cost several times more.
AB7 runs annotation, HITL review and RLHF support from its Mohali Phase 8B hub, with dedicated annotators from $1,500/month and SME reviewers (clinicians, paralegals, CPAs) for domain work. An AI team needing 6-DoF pose or RAG-curation support gets a managed pod with built-in QA rather than a per-task marketplace.
See the full pricing page, the ROI calculator, or other cost-in-India guides.
Basic high-volume labeling runs $5–$10 per hour and standard annotation benchmarks near $6 per annotator-hour in 2026. Complex multi-step judgment is $8–$12/hour and RLHF is priced per project. That is 60–75% below US rates. AB7 staffs dedicated annotators from $1,500/month with built-in QA from its Mohali hub.
$4–$12 per hour depending on task complexity — basic tagging at the low end, multi-step judgment at the high end, and RLHF/LLM evaluation at the top. AB7 prices dedicated annotators as a flat $1,500/month per FTE, which is more predictable than per-task marketplace billing.
Roughly 60–75% cheaper for comparable annotation, backed by a 500,000+ trained annotator workforce that handles much of the world's image and video labeling. AB7 delivers annotation plus QA and SME review from its Mohali hub from $1,500/month per annotator.
Task complexity is the biggest driver — multi-level judgment costs 3–5x basic tagging, and RLHF costs more for reasoning-grade reviewers. Quality bar, QA layers and domain expertise (clinical, legal) also raise cost. AB7 scopes the QA layer explicitly so accuracy targets are priced in, not bolted on.
The usual ones are QA/gold-set review, re-annotation when guidelines change, and platform licensing. AB7 includes a defined QA layer in the managed-pod price and flags any tooling pass-through up front, so the accuracy target is part of the quote.
Want an exact quote for ai training data & annotation? Talk to AB7 at +1-321-341-7733 (US) or +91-98780-67778 (India), email director@ab7solutions.com, or book a 30-minute scoping call.