Build high‑quality training data with dedicated AI Data Annotation teams
AI Data Annotation Specialists label, organise and prepare data that models rely on. Your offshore team follows clear guidelines, structured workflows and rigorous QA processes - ensuring accuracy, consistency and fast turnaround.
High‑quality data is the foundation of reliable AI.
How can AI Data Annotation outsourcing help your business?
We connect you with Vietnam’s top AI Data Annotation Specialists capable of delivering the following for your business:
Accurate Data Labeling
Annotating text, images, audio or video with the correct tags, attributes and classifications needed to train AI and machine‑learning models.
Transcription & Content Conversion
Turning raw audio or video into clean, structured transcripts so AI systems learn from high‑quality language data.
Quality Review & Error Checking
Reviewing labeled data, fixing inconsistencies and ensuring accuracy with peer checks and structured QA steps.
Handling Ambiguous & Edge‑Case Data
Flagging unclear examples, identifying anomalies and making informed decisions when the data doesn’t fit straightforward rules.
Guideline & Taxonomy Alignment
Following detailed labelling instructions, updating documentation and supporting calibration sessions to keep the whole team aligned.
Dataset Organisation & Structuring
Cleaning, organising and preparing data so it’s ready for training, validation and evaluation workflows.
Platform & Tool Proficiency
Using specialist annotation tools (like Labelbox, SuperAnnotate, Supervisely, and CVAT) and adapting to different workflows depending on the project.
Continuous Improvement & Feedback Loops
Participating in regular reviews, refining instructions, and helping improve the overall quality and consistency of the training data.
Match the right AI Data Annotation to your workload
All are trained in high‑accuracy annotation workflows and deliver reliable, scalable data quality.
Junior
1–2 years of experience
- Execute high‑volume labelling tasks with precision
- Escalate unclear cases and follow guideline updates
- Maintain clean, organised datasets
- Use annotation tools correctly and adapt to project workflows with guidance
Intermediate
2–4 years of experience
- Handle complex cases and perform quality checks
- Maintain and update annotation workflows, taxonomies and documentation
- Support dataset structuring, clean‑up, rework cycles and preparation for ML teams.
Senior
4+ years of experience
- Lead annotation teams and improve accuracy standards
- Manage calibration sessions, QC cycles and dataset readiness
- Collaborate with DS/ML teams on evaluation sets
Why Away Digital Teams?
Trusted partnerships
Hundreds of businesses have counted on us to build and manage their Vietnamese team.
High client retention
95% of our clients stick with us year after year and grow their teams.
Save you time
We source, qualify and provide top tier candidates for you to choose from.
Employee satisfaction
90% of our staff have been with us for more than 5 years.
Large talent pool
Vietnam boasts deep pools of talent in a wide range of industries.
Guaranteed quality
100% of our candidates go through strict vetting to ensure you get the best talent.
Why Vietnam?
Vietnam is quickly becoming the new hotspot for outsourcing, with a huge talent pool of high-quality, forward-thinking professionals.
70% hold degrees in high-demand fields
Our talent network in Vietnam spans key industries, including technology, engineering, finance, and design.
35% annual growth in key industries
Vietnam's growth and stability offer easy access to top talent in various fields.
Top 7 outsourcing destinations
Vietnam is now one of the best places to outsource, thanks to its talented and reliable workforce.
85% of candidates are fluent in English
Communication is easy, with the majority of our candidates fluent in English.
Our onboarding process
01.
INTRODUCTION
We start with an in-depth discussion to understand your goals and scope of work. This involves clarifying objectives, expectations and any constraints to establish what staff you are looking for.
02.
WE FIND
We reach out to our deep networks and pools of talent in Vietnam, scouting for the best fit for your business and the role/s you're after, making sure to tick every box.
03.
YOU CHOOSE
We pre-screen each and every professional before sending them over to you to interview to ensure they will be right for the role; the rest is up to you. If you aren't happy with our choices, we scout another round of candidates.
04.
WE MANAGE
Once picked, we onboard your new team member/s, provide them with equipment and give them a desk in our office where they can work around like-minded individuals.
05.
ONGOING SUPPORT
We check in regularly with you and your new staff to make sure everything is going smoothly, and help the integration process by ensuring both parties are happy and thriving.
Leverage the best tools for optimal results
We ensure that the staff we find for you will be proficient with all of the best tools for AI Data Annotation
Labelbox
SuperAnnotate
CVAT
Kili Technology
Dataloop
Amazon SageMaker Ground Truth
Trusted by leading businesses
Away Digital Teams gave us access to a broader talent pool and helped us fine-tune our processes. The integration was seamless, and the team has been a great asset to our business.
Talk to our team
Need full-time dedicated staff?
Drop in your info below, and we’ll reach out within a day to arrange a chat .
AI Data Annotation: FAQs
How does outsourcing data annotation improve overall AI model accuracy?
Outsourcing gives you access to trained specialists who follow structured guidelines, apply consistent labeling practices, and use multi‑layer quality checks – all of which improve the accuracy and reliability of your training data. High‑quality labeled data is critical because AI performance depends heavily on the clarity and consistency of its inputs.
Is outsourcing data annotation more cost‑effective than building an in‑house team?
Yes. Outsourcing reduces labour, operational and infrastructure costs by shifting annotation work to external providers who specialise in high‑volume, repeatable tasks. This allows businesses to cut expenses, streamline operations and focus on core activities while still accessing skilled talent.
Which industries benefit the most from outsourced data annotation services?
Industries that rely heavily on AI such as finance, healthcare, retail, logistics and manufacturing – often outsource data annotation to gain efficient, scalable support for large datasets. Outsourcing helps these sectors accelerate automation, improve decision‑making and leverage AI without the burden of maintaining large in‑house data operations.