Data Annotators and Content Analysts: Roles, Pay and Hiring

TL;DR: Data annotators, also called content analysts, label and organize text, image, audio or video data so companies can train AI and machine‑learning models. Demand for this role is rising quickly due to the rapid expansion of AI and supervised learning. Pay varies widely, from around $20 an hour for entry‑level work to over $100 an hour for specialized areas like medicine or law. Strong attention to detail, adaptability and specialized expertise help candidates succeed in this growing field.

By Ben Barzilai

Job seekers in data science, machine learning or AI may notice many openings for roles such as “data annotators” or “content analysts”. 

This is no coincidence. According to LinkedIn News’ 2026 Jobs on the Rise report, data annotator is among the fastest-growing jobs in the United States.

Before applying to a job with this sort of title, it’s worth taking the time to consider what the role entails and what it takes to start a successful career as a data annotator.

1. What Is a Data Annotator?

A data annotator, or content analyst, is someone who adds annotations, tags, labels or metadata to raw data. This data may include text, images, videos or even audio files.

Data annotators help companies by labeling and organizing their data in a way that is accurate, meaningful and relevant to the work they do.

As data scientist Wuraola Oyewusi said in her LinkedIn Learning course, data annotators are important because they “add context to improve the way we understand, use and structure this data.”

2. Why Are Data Annotator Jobs on the Rise?

LinkedIn News named data annotators and content analysts as the 4th fastest-growing job in the U.S.

While there may be several reasons for this, the biggest is the rise of machine learning and its proliferation across many industries.

There are a variety of ways that companies train and implement machine learning models. However, as Oyewusi explains, a common method is supervised machine learning. This is when a machine learning model uses human-labeled data to learn patterns and make predictions on previously unseen data. 

As this type of technology becomes more integral to the way companies function, it’s more and more important for employers across a range of fields and industries to find data scientists who can effectively annotate data and help train their machine learning models. 

3. How Much Does a Data Annotator Make?

Data annotators are often paid by the hour. Their pay rate depends on a number of factors, with experience and sector being two of the biggest determinants.

According to AI expert Will Henshall for Time Magazine, companies typically pay about $20 per hour for entry-level data annotators. However, this number can get much higher depending on experience level and specialization. 

Technology journalist Alistair Barr reported in Business Insider that data analytics experts can earn up to $60 an hour. Data annotators in specialized fields can earn even more. For example, highly skilled medical data annotators earn a median of $120 an hour and can earn upwards of $180. Those with backgrounds in law and engineering also have strong earning potential, with hourly wages ranging from $80 to $150.

4. How To Become a Data Annotator

While higher earning roles go to those with experience in data science, there are plenty of data annotation jobs worth exploring for those who are new to the role. Hiring managers look for several other qualities besides experience.

As AI expert David B. pointed out on LinkedIn, these qualities are diverse and depend on the company and their industry. Organizations that work with text-based data will look for candidates with excellent writing and reading comprehension skills; those who deal with audio files will look for annotators with keen listening skills and experience working in audio. Be sure to tailor your resume to highlight the skills most applicable to the specific role.

The function and workflow of a data annotator often vary from company to company, and many jobs will have their own manual and set of practices for how and on which platform to annotate data. For this reason, the ability to learn on the job and strong attention to detail are imperative for those getting started in data annotation.

Frequently Asked Questions About Data Annotation

• What does a data annotator do? A data annotator labels and organizes text, images, audio or video so machine‑learning models can learn from structured, human‑tagged data.
• How much do data annotators earn? Entry‑level annotators typically earn around $20 an hour, while specialized annotators in fields like medicine, law or engineering can earn $80 to $180 an hour depending on expertise.
• What skills are important for data annotation jobs? Key skills include attention to detail, the ability to learn company‑specific tools quickly and domain‑specific strengths such as writing, listening or technical knowledge, depending on the data type.