Outsourcing of labeling of data is a business proposition that could either lead to the rise or generative effect of your artificial intelligence or machine learning project. Choosing the right partner guarantees exactly this – we get clean, labeled data on time and within the agreed budget. To make an informed choice, ask these seven key questions before signing a contract:
1. What Do You Know About Other Similar Projects or
Industries?
Why It’s Important: This leads to the fact that the provider
comprehends potential problems with data and its specific application among
your business. For example, medical image annotation, or training self-driving
car models, requires some unique information.
What to Look For: Proper selection of topics for the
presentation, additional project/research materials or/and success stories
regarding your field.
2. Data accuracy and quality: How do you guarantee their
quality?
Why It’s Important: Poor quality annotations give rise to
poor quality artificial intelligence models. It is always urged that the
product’s quality assurance management and control can play an important role
to ensuring the results produced are standard and accurate.
What to Look For: Methods include double-blinded manuscript
reviews and inter-annotator agreements, and a method of automated errors check.
3. Which Annotation Tools and Technologies Do You Utilize?
Why It’s Important: There is also a potential to deploy more
sophisticated instruments which may improve performance and increase
productivity and accuracy as well as decrease time of operation.
What to Look For: Justification which includes the approach
using the annotations, integration with your data formats, a few additional
options such as using collaboration platforms and the ability to work with
versions.
4. Are You Able to Expand Business Processes as Our
Requirements Increase?
Why It’s Important: Your data labeling may be needed more in
your project as it grows big. A partner must be able to take large measures and
work on them at a large capacity while meeting high standards and delivering
work on time.
What to Look For: This solution has been tested for its
ability to scale, it can readily incorporate more resources to work on it, and
it can be purchased at a varied price structure.
5. How Do You Ensure Security and Level of Data Privacy?
Why It’s Important: Outsourcing usually implies that certain
information has to be provided to the third party contractor and such
information is usually sensitive. Compliance with data protection regulations
has to be mandatory.
What to Look For: Specifications such as GDPR, HIPAA, or ISO;
a secure layout; and an easily understandable, straightforward privacy policy
for data.
6. How do you deal with these special cases and again with
the vagueness’s?
Why It’s Important: Model performance is highly sensitive to
the presence of outliers and semi-structured data. Successfully managing them
is one of the characteristics of a reliable partner.
What to Look For: An identifiable procedure for recording and
managing edges issues, participation of the client and revisions of the
annotations.
7. How do you update stakeholders and how do you engage with
feedback?
Why It’s Important: It is agreed that enabling an environment
of clear and open communication great for keeping everyone in sync and ensuring
that challenges are addressed as soon as possible. Teamwork helps eliminate
confusion and avoid the time it takes to fix it.
What to Look For: Other features include updated graphs and
tables, easy to use reporting interface and the provision of a project manager
to deal with questions/answers on the project.
Bonus Tip: Evaluate Their Workforce
• Why It’s
Important: Professionals who are assigned to annotate a dataset are very
important to the final outcome.
• What to Look
For: Their information on the directives which govern the learning and
development of their workforce, domain knowledge, and methodologies regarding
surplus workforce management and sustenance.
Conclusion
Cost in this case is not the main criteria for selecting the
right partner for data labeling but the understanding of goals, the value of
quality, ability to scale and maintain information security. These questions
help make the right decision regarding your project to increase the probability
of success.
Contact Infosearch for your outsourced data labelling, data annotation and annotation services.
