Data Entry & Annotation Companies
Data entry and annotation outsourcing gives you access to trained, managed teams who process, clean, and label data at scale, but only works reliably when your process is documented and your quality bar is defined before the first task goes out.
Top data entry & annotation providers
Global outsourcing and staffing partner helping businesses hire vetted professionals from 150 countries, reduce costs by up to 70%, and scale operations faster.
Per seat
View profile →AI-powered BPO and remote staffing solutions offering virtual assistants, AI agents, and full-time outsourcing services for business growth.
Retainer
View profile →360 Transcription provides human-delivered medical and medico-legal transcription services for US healthcare practices and legal clients, with HIPAA compliance and next-day turnaround.
Per transactionHIPAA
View profile →India-based data digitization and outsourcing company offering data entry, data conversion, data mining, accounting, and payroll services since 2008.
51-200 staff
View profile →904 Bookkeeping is a Jacksonville-based QuickBooks bookkeeping and payroll practice serving small to mid-sized Florida businesses.
Retainer
View profile →Acelerar is an India-based BPO offering data entry, accounting, e-commerce ops, and virtual assistant services with pre-trained teams.
ISO 27001ISO 9001
View profile →Open Access BPO delivers multilingual CX, content moderation, and back-office outsourcing from the Philippines, US, and Taiwan for digital-first brands.
View profile →Japanese-owned BPO provider based in Cebu, Philippines, delivering call center, back office, IT, and sales outsourcing services to mid-sized and large enterprises globally since 2009.
View profile →India-based BPO and IT services company offering web design, data processing, document scanning, eBook conversion, CAD/CAM, and back-office outsourcing since 2006.
51-200 staffHourlyISO 9001
View profile →AltiSales is a B2B SDR outsourcing and GTM acceleration firm helping SaaS companies build scalable, predictable outbound revenue machines.
Retainer
View profile →Professional bookkeeping and accounting services for businesses and individuals across the US, headquartered in Denver, Colorado.
View profile →Outsourced accounting, bookkeeping, payroll, and tax services for Australian businesses and CPA firms.
451+ staffISO 27001
View profile →AR Medical Billing
📍 United States
HIPAA
LanguagesEnglish
ARDEM Incorporated
📍 New Jersey, United States
LanguagesEnglish
Ascent BPO
📍 Noida, India
LanguagesEnglish
ASL BPO
📍 Dhaka, Bangladesh
LanguagesEnglish
Attorney Drafting Services
📍 Roseville, United States
LanguagesEnglish
B2B Appointment Setting, LLC
📍 Phoenix, United States
LanguagesEnglish
BL
B2B Lead Generation & Sales Appointments
📍 US
LanguagesEnglish
Back Office Support for Healthcare
📍 Los Angeles, United States
LanguagesEnglish
BackofficePro
📍 Bengaluru, India
HIPAA
Size250-3500
LanguagesEnglish
Beepo
📍 Australia, Australia
LanguagesEnglish
Best Data Entry Services Companies
LanguagesEnglish
BH
Best Healthcare Outsourcing
LanguagesEnglish
BPO Centers
📍 Mexico City, Mexico
LanguagesEnglish · Spanish
BPO Data Entry Help
📍 United States
ISO 9001HIPAASOC 2
LanguagesEnglish
BS
BPO Services
📍 India
LanguagesEnglish
Brokers' BackOffice
📍 Sydney, Australia
ISO 9001
Size51-200
LanguagesEnglish
BruntWork
📍 Australia
Size1000+
LanguagesEnglish
Bulk Photo Editing Services (Bulk Retouch)
📍 United States
LanguagesEnglish
BP
Business Process Outsourcing & Management Services
LanguagesEnglish
CAD Drafter
📍 United States
LanguagesEnglish
CAD Drafting Services
📍 United States
LanguagesEnglish
CAD Services India
📍 Ahmedabad, India
ISO 9001
LanguagesEnglish
CAD/CAM Services Inc.
📍 United States
LanguagesEnglish
Call2Customers
📍 India, India
ISO 27001ISO 9001
Size201-500
LanguagesEnglish
Canon Business Process Services
📍 New York, United States
LanguagesEnglish
CheaperTeam
📍 New York City, United States
LanguagesEnglish
Chudasama Outsourcing
📍 United States
LanguagesEnglish
Civil Drafting by InfraTech
LanguagesEnglish
Civil Outsourcing
📍 Ho Chi Minh City, Vietnam
Size51-200
LanguagesEnglish
Clipping Outsourcing
📍 Dhaka, Bangladesh
LanguagesEnglish
Clipping Path Outsource
LanguagesEnglish
Cold Call Advantage
📍 United States
LanguagesEnglish
Complete Legal Outsourcing
📍 Ghaziabad, India
LanguagesEnglish
Concentrix
📍 United States
Size1000+
LanguagesEnglish · Mandarin Chinese · Dutch
Conduent
📍 Florham Park, United States
Size50000+
LanguagesEnglish · French · German
Connect2BPO
📍 Barranquilla, Colombia
LanguagesEnglish · Spanish
Contact Center USA
📍 Los Angeles, United States
SOC 2HIPAAPCI DSS
Size500+
LanguagesEnglish · Spanish
Covenir
📍 Worcester, United States
LanguagesEnglish
CRI CFO Hub
📍 San Diego, United States
LanguagesEnglish
Damco Solutions
📍 United States
LanguagesEnglish
Data Entry India
📍 New Delhi, India
ISO 9001ISO 27001HIPAA
Size1000+
LanguagesEnglish
Data Entry India
📍 New Delhi, India
GDPR
LanguagesEnglish
Data Entry India
📍 India
LanguagesEnglish
Data Entry India
📍 Ahmedabad, India
ISO 9001
LanguagesEnglish
Data Entry India 24x7
📍 India
LanguagesEnglish
Data Entry India BPO
📍 India
LanguagesEnglish
Data Entry Philippines
📍 Philippines
HIPAAGDPR
LanguagesEnglish
Data Entry Solutions
📍 Mong Kok, Hong Kong
LanguagesEnglish · French · Italian
Data Entry Typing Test
LanguagesEnglish
DE
Data Entry, Web Research, Data Conversion Services
📍 India
ISO 9001
Size500-999
LanguagesEnglish
DataPlusValue
📍 India
ISO 9001
LanguagesEnglish
DataToBiz
📍 India
ISO 9001
Size51-200
LanguagesEnglish
Dawn IT Services
📍 India
Size1000+
LanguagesEnglish
Designing and Drafting Services
📍 United States
LanguagesEnglish
Drafting Buddies
📍 Austin, United States
LanguagesEnglish
Drafting Consultants
📍 San Francisco, United States
LanguagesEnglish
e-care India
📍 India
ISO 9001ISO 27001HIPAA
Size1000+
LanguagesEnglish
EO
Ecommerce Outsourcing Services Company
📍 India
LanguagesEnglish
EHR Medical Transcription Services
📍 Lakewood Ranch, United States
HIPAA
LanguagesEnglish
Eminenture
📍 London, United Kingdom
ISO 9001
LanguagesEnglish
ESO Engineering Services Outsourcing Pvt. Ltd
📍 NSW, Australia
LanguagesEnglish
Euphomech Drafting Services
📍 Navi Mumbai, India
LanguagesEnglish
Expert Mortgage Assistance
📍 United States
ISO 9001
Size500+
LanguagesEnglish
Expert Prepress Services (Alpha Prepress)
📍 Rajkot, India
LanguagesEnglish
ExpertCallers
📍 India
ISO 27001GDPR
Size1000+
Express Virtual Assistant Services
LanguagesEnglish
FacFox®
📍 Hangzhou, China
ISO 9001
LanguagesEnglish · Chinese
Fakenham Prepress Solutions
📍 Fakenham, United Kingdom
LanguagesEnglish
Florida Drafting and Design Services
📍 Palm Harbor, United States
LanguagesEnglish
Forte Group
Size800+
LanguagesEnglish
Gallagher & Mohan
📍 United States
Size201-500
LanguagesEnglish
GetProspect
📍 Ukraine
GDPR
LanguagesEnglish
GigaBPO
📍 Dhaka, Bangladesh
LanguagesEnglish
Global BPO Service
📍 Casper, United States
LanguagesEnglish
GC
Global Call Centers
📍 United States
LanguagesEnglish
Global Services BPO
📍 United States
LanguagesEnglish
GP Outsourcing Solutions
📍 San Antonio, United States
Size500+
LanguagesEnglish · Spanish
GPG Call Center & BPO Solutions
📍 Chisinau, Republic of Moldova
GDPR
Size201-500
LanguagesFrench · English · German
Helpware
📍 Irvine, United States
Size1000+
LanguagesEnglish
HB
Hitech BIM Services
📍 Ahmedabad, India
LanguagesEnglish
HL
Home Lead Gen
📍 Exeter, United Kingdom
LanguagesEnglish
Hugo Inc.
📍 United States
ID
India Data Entry
📍 India
LanguagesEnglish
IndiaCADworks
📍 India
Size201-500
LanguagesEnglish
Influx
📍 Melbourne, Australia
Size501-1000
LanguagesEnglish · multilingual (12+ languages)
InputiX (formerly AskDataEntry)
📍 Kolkata, India
LanguagesEnglish
IB
Insurance BPO
📍 United States
LanguagesEnglish
IntouchCX
Invensis
📍 Bangalore, India
Size5000-9999
LanguagesEnglish
KDCI
📍 Philippines
LanguagesEnglish
KB
Knowledge Bank
📍 United Kingdom
LanguagesEnglish
Magic
📍 United States
LanguagesEnglish
MultiplyMii
📍 Manila, Philippines
LanguagesEnglish
NexGen Data Entry
📍 United States
LanguagesEnglish
OO
Offshore Outsourcing Services in the Philippines
📍 Philippines
LanguagesEnglish
OURS Global
📍 United States
LanguagesEnglish
Outsource CAD Drafting (Chemionix)
📍 Mumbai, India
ISO 9001ISO 27001
Size125+
LanguagesEnglish
OW
Outsource Work
LanguagesEnglish · Ukrainian
Outsource2india
📍 India
ISO 9001
LanguagesEnglish
Outsourced Staff
📍 Australia
LanguagesEnglish
OutsourceRCM
📍 United States
ISO 27001HIPAA
LanguagesEnglish
Outsourcing Business Solutions (OBS)
📍 United States
Size1000+
LanguagesEnglish
Outsourcing CAD Drafting Services USA
📍 India
LanguagesEnglish
OW
Outsourcing with Offshore Talent
📍 Philippines
LanguagesEnglish
Qualfon
📍 United States
HIPAASOC 2
LanguagesEnglish
RB
RE BackOffice
📍 United States
LanguagesEnglish
RE
Real Estate Virtual Assistant Service
📍 Australia
LanguagesEnglish
Rely Services
📍 United States
HIPAA
LanguagesEnglish
ROI CX Solutions
📍 United States
PCI DSSHIPAAHITRUST
Size5000+
Selectsys
📍 United States
LanguagesEnglish
S
Solvo
📍 Chandler, United States
LanguagesEnglish
SO
Staff Outsourcing Solutions
Tech2Globe
📍 New York, United States
LanguagesEnglish
The B2B Telemarketing Company
📍 Exeter, United Kingdom
LanguagesEnglish
Unity Communications
📍 Gilbert, United States
Size351-500
LanguagesEnglish
VirtualStaff.ph
📍 Philippines
LanguagesEnglish
What is data entry & annotation outsourcing?
Data entry and annotation outsourcing means hiring an external team to handle the capture, classification, processing, or labeling of structured and unstructured data on your behalf. This covers everything from ecommerce product catalog entry and document digitization to AI training data labeling, image annotation, text classification, bounding boxes, named entity recognition, RLHF feedback, and more. The vendor supplies the agents, management layer, QA process, and tooling. The buyer supplies process documentation, access to source data, quality standards, and an internal point of contact. Volume, accuracy requirements, domain complexity, and location all determine whether this is a cost-saving or cost-creating decision.
What data entry & annotation outsourcing covers
- Document digitization and data capture from PDFs, forms, scanned files, and handwritten records
- Ecommerce product data entry, titles, descriptions, attributes, pricing, SKU management, catalog maintenance
- Image and video annotation, bounding boxes, polygon segmentation, keypoint labeling, image classification
- Text annotation, named entity recognition, sentiment labeling, intent classification, NLP training datasets
- RLHF and model feedback tasks, ranking AI outputs, preference labeling, response quality scoring
- Medical and clinical data entry, patient records, coding support, form processing (with HIPAA compliance)
- Data cleansing, deduplication, normalization, and database enrichment
- Survey data processing, form extraction, and index data entry
When to outsource data entry & annotation
- Your internal team spends meaningful hours per week on repetitive data entry or labeling that has no strategic value and clear SOPs can be written for it
- You have an AI or ML project that needs labeled training data at a volume your internal team cannot produce without blowing timelines
- Your ecommerce catalog is growing faster than your team can manage product data entry, accuracy is slipping and backlogs are building
- You have a defined quality standard, an acceptable error rate, and someone internally who can own vendor QA and feedback, meaning the outsourcing will be supervised, not abandoned
- You have run the numbers and the cost of outsourcing is materially lower than in-house, even after accounting for management time, QA overhead, and transition effort
When not to outsource data entry & annotation yet
- Your data entry process changes week to week and is not yet documented, outsourcing chaos does not fix it, it amplifies it
- The data involved requires deep domain judgment (clinical diagnosis, legal interpretation, complex financial decisions) where a trained internal expert is the only reliable processor
- Your source data is so messy, inconsistent, or unstructured that even an internal team struggles, clean the data pipeline first, then delegate the entry
- You have no internal owner to review output quality, catch errors, and close the feedback loop with the vendor, unmanaged outsourcing drifts fast
How data entry & annotation outsourcing works
- 1Scope definition, buyer documents the exact tasks, data sources, formats, volume estimates, accuracy requirements, turnaround expectations, and any compliance constraints before engaging a vendor; vendors who skip this step are a red flag
- 2Vendor selection and pilot design, buyer shortlists vendors by process fit, not just price, and runs a 2 to 4 week paid pilot on a real subset of work to test accuracy, turnaround, communication quality, and reporting before committing to full volume
- 3Onboarding and SOP transfer, vendor builds or validates SOPs, trains agents on the buyer's specific process, tools, and quality standards; buyer should see a written training plan and a readiness sign-off before live production begins
- 4Production ramp, vendor handles live volume under agreed SLAs; buyer reviews output samples daily or weekly in the early weeks, tracks error rates, and calibrates quality expectations with the vendor's QA team
- 5Reporting and review cadence, vendor delivers regular reports covering volume processed, accuracy rates, TAT, error breakdown, backlog, and QA scores; buyer uses this to catch drift early and course-correct before errors compound
- 6Ongoing optimization, as the process stabilizes, buyer and vendor identify edge cases, update SOPs, adjust team size for volume changes, and improve tooling integration; a vendor who does not flag process issues proactively is one to watch carefully
Data Entry & Annotation pricing models and typical rates
✓Hourly rate model, most common for general data entry and ongoing annotation work; offshore teams in India and the Philippines typically range from $3 to $15 per hour (indicative 2025 to 2026), nearshore LATAM from $25 to $50 per hour, onshore US from $20 to $40 per hour; straightforward to budget but rewards hours not outcomes, so pair with accuracy SLAs and output-per-hour tracking
✓Per-record or per-label pricing, used for clearly defined, repeatable tasks like product catalog entry, image labeling, or form extraction; rates depend heavily on complexity; simple text field entry may be fractions of a cent per record while complex image annotation with multiple attributes can run $0.05 to $0.50 or more per labeled asset (indicative); works well when task definition is airtight and quality is measurable per unit
✓Dedicated FTE or seat-based model, buyer contracts one or more full-time agents dedicated to their work; typical for stable, ongoing data operations where process knowledge accumulates over time; offshore dedicated agents in India can run roughly $1,000 to $2,500 per month depending on skill level and complexity (indicative); provides consistency but carries minimums and less flexibility during volume dips
✓Managed project or retainer model, vendor takes ownership of a defined scope (e.g., annotate 50,000 images per month to a specified quality standard) for a fixed monthly fee; works when scope is predictable and the vendor has strong project management depth; watch for scope creep clauses and make sure the SLA and quality standard are written into the contract, not just the volume commitment
Data Entry & Annotation: offshore, nearshore, or onshore?
Offshore teams in India, the Philippines, and Vietnam are well-suited for high-volume, documented, repeatable data entry and standard ML annotation tasks where cost efficiency is the priority and timezone can be managed asynchronously. Quality depends heavily on the vendor's management and QA layer, not geography alone. Nearshore LATAM, particularly Mexico and Colombia, suits buyers who need real-time collaboration, bilingual capability, or faster feedback loops on annotation projects with evolving requirements. Onshore US teams make sense for regulated domains like clinical data or legal document processing, RLHF tasks requiring native cultural and linguistic judgment, and any work where data sensitivity or compliance makes offshore access a legal or contractual issue.
Red flags when choosing data entry & annotation providers
✓Vendor quotes accuracy rates like 99.9% without showing you a QA scorecard, sampling methodology, or error log from a live client, that number means nothing without a measurement process behind it
✓No structured onboarding plan and no SOP documentation process, if the vendor expects you to hand over everything pre-built and they add no process design value, you are paying for labor without management depth
✓Pricing that is unusually low with no explanation of team size, management overhead, or QA included, offshore annotation at $2 per hour may mean workers earning less than $2 per hour with no QA layer, which is an ethical and quality risk
✓Vendor claims expertise in every data type and every industry, medical coding, legal documents, satellite imagery, ecommerce catalogs, RLHF, all equally, without being able to show specific examples of each; specialists beat generalists in this work
✓No pilot option or pressure to sign a long-term contract before you have seen a single sample of their output quality on your actual data
✓Reporting is limited to a weekly volume number, no breakdown of error types, no QA scores, no TAT data, no backlog visibility; a vendor who cannot show you what went wrong cannot fix it reliably
Questions to ask data entry & annotation vendors
- Can you walk me through exactly how your QA process works for this type of task, what percentage of output gets reviewed, who reviews it, what does the scorecard look like, and what happens when an agent hits repeat errors?
- Show me a sample report from a current client doing similar work, not a template, an actual or anonymized live report showing volume, accuracy, TAT, error breakdown, and what action you took on the last quality issue
- What is your agent-to-team-lead ratio for this type of work, how long have the agents on this type of task been with you, and what is your attrition rate on this process?
- How do you handle edge cases and exceptions in data entry or annotation tasks, who decides, how fast, and how is the decision documented so agents learn from it?
- If we run a pilot and the accuracy is not meeting our target by week two, what specifically happens, who owns the fix, what is the timeline, and what have you done in that situation before?
- For annotation work specifically, what tools do you use, can you work inside our preferred platform, and how do you handle inter-annotator agreement and consistency across a distributed team?
My take on data entry & annotation outsourcing
Data entry and annotation outsourcing is one of the clearest cases where outsourcing genuinely works, if the process is defined. The mistake I see most often is buyers treating this as a commodity purchase and choosing on price per hour or price per label without checking the management layer or QA process behind it. A $3 per hour offshore team with weak QA and no team lead will produce rework that costs you more than a $10 per hour team with strong process discipline. For AI annotation especially, bad labels compound into bad models. I would always run a pilot on real data, not sample data, before committing volume. This is also one of the few outsourcing categories where dedicated FTEs often outperform shared pools over time because process knowledge accumulates.
Frequently asked questions
- What is the difference between data entry outsourcing and data annotation outsourcing?
- Data entry is the capture, transfer, or processing of structured information, typing from forms, building product catalogs, digitizing records, updating databases. Data annotation is labeling raw data to make it usable for AI and machine learning, drawing bounding boxes around objects in images, tagging text with entities, ranking AI responses, or classifying audio. Both involve human processing of data at scale, but annotation requires more specific guidelines, consistency standards, and often domain knowledge. Some vendors do both; others specialize in one.
- How accurate should outsourced data entry or annotation be?
- For standard data entry, 99% to 99.5% accuracy is a reasonable starting expectation; some vendors claim 99.9% but that depends on task complexity and how errors are counted. For AI annotation, inter-annotator agreement and consistency matter as much as raw accuracy, an accuracy figure without a measurement methodology behind it is not useful. Define your acceptable error rate before you brief a vendor, not after you receive the first batch.
- How much does data entry outsourcing cost in 2025 to 2026?
- Offshore data entry in India and the Philippines typically runs $3 to $15 per hour (indicative), with India-specific rates as low as $2.50 to $4.50 per hour for simple tasks. Nearshore and onshore US providers run $20 to $40 per hour. Ecommerce product data entry offshore typically falls in the $8 to $15 per hour range. Always compare cost per accurately completed record, not just hourly rate, a slower, more accurate team can be cheaper overall.
- How much does AI data annotation outsourcing cost?
- Offshore annotation in lower-cost regions runs $5 to $15 per hour for standard ML tasks; some African-market providers charge under $7 per hour, though ethical and quality considerations apply. LATAM nearshore annotation, particularly Mexico, runs $25 to $50 per hour for skilled annotators. US-based entry-level annotation roles run $15 to $20 per hour; domain specialists in medical, legal, or code annotation command $20 to $30 per hour. Per-label pricing varies widely by complexity, simple classification tasks cost fractions of a cent per label while complex image segmentation can run considerably higher.
- Should I use a large platform like Scale AI or a smaller BPO for annotation?
- Large platforms like Scale AI make sense for enterprise AI programs that need massive volume, platform tooling, and model-in-the-loop pre-annotation at scale. Smaller specialist BPOs can be a better fit for mid-market buyers with defined but lower-volume annotation needs, tighter budgets, or domain-specific requirements where a dedicated team with subject matter knowledge outperforms a high-throughput crowd. The platform route trades cost for speed and tooling sophistication; the BPO route trades sophistication for process control and relationship depth.
- What types of data entry can actually be outsourced?
- Most documented, repeatable data entry tasks can be outsourced: ecommerce product catalog entry, form and survey processing, document digitization, database management, invoice and order processing, medical record entry, insurance form processing, real estate listing data, and research data compilation. The key word is documented, if your team cannot write a clear SOP for the task, it is not ready to outsource.
- How do I protect sensitive data when outsourcing data entry or annotation?
- Ask the vendor specific operational questions, not just whether they are compliant. Who accesses the data, from which devices, in which locations? Can agents copy or export data? What happens when an agent leaves, how fast is access revoked? Is there CCTV or screen monitoring in the facility? For healthcare data, confirm HIPAA BAA. For payment data, confirm PCI-DSS scope. For European data subjects, confirm GDPR data processing agreements. A vendor who answers these questions in detail is better than one who says they are SOC 2 certified without explaining what that means in practice.
- How long does it take to onboard an outsourced data entry or annotation team?
- For simple, well-documented data entry, a competent vendor can be productive within one to two weeks. For annotation projects with complex guidelines or domain-specific requirements, expect two to four weeks of onboarding before quality stabilizes, sometimes longer for medical or technical domains. Vendors who promise full productivity from day one on complex annotation work are overpromising. A structured onboarding plan with a defined readiness sign-off is a basic expectation, not a premium feature.